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Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives, and help shape how AI delivers real impact in drug discovery, we'd like to hear from you

We are seeking a Senior Scientist to lead the design and implementation of AI orchestration systems within the AI/ML Foundation team. This role combines expertise in agentic AI systems, data engineering, and software architecture to build the infrastructure that enables seamless coordination of AI capabilities across Computational Sciences and Global Research. You will be responsible for creating intelligent orchestration layers that connect diverse AI models, data pipelines, and computational resources to accelerate drug discovery across all therapeutic modalities. The ideal candidate brings strong engineering fundamentals with experience in distributed systems and a passion for building scalable AI platforms.

Accountabilities:

• Design and implement AI orchestration frameworks that integrate agentic systems, data pipelines, and model serving infrastructure to enable coordinated multi-model workflows.
• Build scalable orchestration layers connecting predictive models, generative models, and foundation models with experimental data sources for end-to-end workflow automation.
• Develop data engineering solutions including data ingestion pipelines, transformation workflows, feature stores, and model serving infrastructure supporting discovery across modalities.
• Create intelligent orchestration systems that coordinate agentic AI components for autonomous task decomposition, tool selection, and execution across scientific domains.
• Establish monitoring, observability, and governance frameworks ensuring reliability, reproducibility, and transparent decision-making across AI systems.
• Partner with computational scientists, data engineers, and research teams to ensure orchestration infrastructure meets the needs of diverse discovery workflows.
• Stay current with advances in agentic AI, workflow orchestration, and distributed systems; evaluate and integrate emerging technologies.

Education & Requirements:

• PhD in Computer Science, Data Engineering, Computational Science, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience.
• Strong software engineering skills with proficiency in Python and experience with distributed systems and cloud infrastructure (AWS, GCP).
• Experience with workflow orchestration frameworks (Airflow, Prefect, Dagster, or similar) and data pipeline development.
• Familiarity with agentic AI frameworks (LangChain, AutoGen, or similar) and LLM integration patterns.
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Strong problem-solving skills and ability to work across teams in a fast-paced R&D environment.

Preferred:

• Experience building AI/ML platforms or infrastructure in pharmaceutical or life sciences settings.
• Familiarity with scientific computing workflows and computational chemistry/biology tools.
• Experience with model serving frameworks (TorchServe, Triton, BentoML) and feature stores.
• Knowledge of monitoring and observability tools (Prometheus, Grafana, MLflow).
• Experience with event-driven architectures

Additional Competencies Common in Strong Candidates

• Ability to lead cross-functional initiatives and mentor junior scientists.
• Experience in translating computational insights into experimental strategies.
• Strong publication record or demonstrated thought leadership in AI for biology and molecular design.
• Comfort working in fast-paced, innovation-driven environments with evolving priorities.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking Software Engineers–Simulationto support ourSimulation Frameworks, Services and Tools deployments team located inBerkeley, Missouri.This position will focus on supporting the Software Fabric / Boeing Emulation, Simulation, Test and Analysis Framework (BESTAF) business organization

This position will be a software development role on the Simulation Frameworks, Services, and Tools (SFST) deployment team that provides simulation software across the Boeing enterprise. The suite of tools support software verification, hardware verification, flight trainers, and warfare scenario simulation. The successful candidate will coordinate with commercial, defense, and other customers for requirements.

The candidate will participate in small developmental teams – and sometimes independently – to implement those requirements. Agile methodologies such as sprint planning, scrums, retrospectives, and demonstrations are expected.

The candidate should enjoy working collaboratively with others, have a commitment to customer satisfaction and process improvement, and be successful working in a multi-program environment. They will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. They should be adaptable to new development environments and eager to work with and learn new technologies.

Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers.

Position Responsibilities:

• Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle
• Partners with stakeholders to review and identify simulation requirements and dynamics of the systems being simulated
• Performs design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities
• Performs data collection and processing for use in simulations
• Validates, verifies, and refines simulation software code, models, simulations, test procedures and test environments, executing test procedures and documenting test results and models against real-world data, test data, benchmarks, or other similar models
• Documents and maintains technical code, algorithms, specifications and descriptions of simulation models
• Partners with cross functional engineering teams to enable integration of simulation software with hardware devices and systems
• Implements current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment
• Modernizes, migrates, sustains, and updates simulation software to adapt legacy systems to new operating systems
• Performs simulation software project management functions

Basic Qualifications (Required Skills/ Experience):

• 4+ years of experience in software programming with C, C++, C#, .NET coding, debug, and development
• 2 + years of experience in software programming with Python

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
• Level 3: 3 or more years' related work experience or an equivalent combination of education and experience
• Level 4: 5 or more years' related work experience or an equivalent combination of education and experience
• 4 or more years' related work experience or an equivalent combination of education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience
• 2 or more years' experience in software programming with Rust
• Active Security Clearance
• Experience with embedded software and hardware interfacing-software
• Experience working across software-interface boundaries, including hardware, firmware, and software (Including technical coordination with interfacing teams)
• Experience handling multiple projects simultaneously
• Decision making abilities to complete efforts with minimal requirements definition
• Experience in software development in Visual Studio
• Experience with avionics and Ethernet communication protocols
• Experience with Agile Methodology
• Experience with Git, Continuous Integration, Cloud Computing technologies

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Travel:

10%

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Associate Level (Level 2): $98,600 - $133,400

Summary pay range for Experienced Level (Level 3): $123,250 - $166,750

• Lead and implement the company’s HSE strategy across renewable energy projects in Ireland and Europe
• Ensure compliance with Irish and European health and safety legislation including Construction Regulations, PUWER, LOLER and associated directives
• Manage and maintain HSE management systems including ISO 45001 and ISO 14001 across all project locations
• Carry out internal and external HSE audits and ensure corrective actions are implemented effectively
• Provide guidance to project teams on RAMS, risk assessments, permit to work systems and safe work planning
• Drive a positive safety culture across project teams and subcontractors with a focus on behavioural safety
• Develop and maintain HSE performance reporting and KPIs across multiple European projects
• Lead incident investigations, root cause analysis and continuous improvement initiatives
• Deliver training and mentoring for site managers, engineers and supervisors on key safety topics
• Liaise with regulatory authorities, certification bodies and project stakeholders during inspections and audits
• Support environmental and sustainability initiatives including waste management and environmental risk controls
• Produce monthly and quarterly safety performance reports for senior management and project stakeholders

• Chartered IOSH member CMIOSH or equivalent qualification such as NEBOSH Diploma or MSc in Occupational Health and Safety
• 8 to 10 years experience in health and safety within construction, utilities, power generation or renewable energy projects
• Strong background working on wind farms, solar farms, battery storage or grid infrastructure projects is highly desirable
• Experience managing health and safety across multiple sites and jurisdictions within the EU
• Proven experience implementing and managing ISO 45001 safety management systems
• Excellent knowledge of Irish and European health and safety legislation and compliance requirements
• Strong leadership and communication skills with the ability to influence teams at all levels
• Experience leading audits, incident investigations and safety improvement programmes
• Comfortable working across multiple sites with regular travel across Ireland and Europe
• Practical, solutions focused approach to risk management and safety leadership

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

The Manager, Enterprise Programs & Platform Performance is a leadership role focused on developing high performance teams while driving enterprise programs and advancing platform capabilities that enable Global Security's mission worldwide. Reporting to the Senior Manager, Global Security Control Center (GSCC) Strategic Operations, this role leads a high-impact team including a Program Manager and Geospatial Specialists, while fostering an inclusive, high-trust culture aligned with The Walt Disney Company (TWDC) values. This role will coach, develop, and hold the team accountable—building capability and engagement to deliver exceptional results.

Beyond people leadership, this role serves as the enterprise subject matter expert for Travel Risk Management (TRM) and the platforms supporting Open-Source Intelligence / Social Media Research (OSINT/SMR) operations. As the TRM expert, this leader is responsible for evolving the enterprise TRM program into a global, Fortune 50 gold-standard capability supporting more than 150,000 travelers annually, partnering with enterprise travel leadership to align with ISO 31030 standards and ensuring Disney's global workforce is supported with best-in-class travel safety resources and response capabilities. The role also provides strategic direction for geospatial tools and OSINT/SMR platforms—defining desired outcomes and empowering the team to deliver technical solutions that drive reliability, automation, and actionable insights.

This position carries a global remit with primary focus on the Western Hemisphere and serves as part of the governance center for all TWDC Control Centers worldwide. The manager partners closely with GSCC operations leadership and teams across Global Security—including intelligence, investigations, security operations, and emergency preparedness and response—as well as enterprise travel leadership and studio segment partners to ensure readiness, response, and stakeholder confidence.

The GSCC operates 24/7/365, supporting emergency and non-emergency events, monitoring global affairs, managing incoming calls, dispatching resources, and providing event-driven global notifications. In emergencies, the GSCC coordinates enterprise assistance, delivers technical and advisory support for essential services, issues risk warnings, disseminates employee information, and serves as the central communication hub for Global Security.

This manager's portfolio has global impact - integrating enterprise programs and platform capabilities that shape security operations across all regions.

People Leadership

• Lead and develop a high-impact team (Program Manager and Geospatial Specialists); set clear goals, coach performance, and create growth opportunities.
• Build succession readiness and support career progression through structured development plans.
• Foster an inclusive, collaborative culture grounded in TWDC values.
• Provide advisory input to the Training Specialist on program-specific training needs

Program & Portfolio Leadership.

• Serve as enterprise SME for Travel Risk Management (TRM); own the strategic vision and maturation of the program into a Fortune 50 gold standard aligned with ISO 31030, supporting 150K+ travelers annually.
• Partner with enterprise travel leadership to design and implement TRM frameworks, policies, and response protocols that ensure traveler safety across all global destinations.
• Guide strategy on platforms supporting OSINT/SMR operations; oversee selection, configuration, and optimization to enable global monitoring.
• Drive strategic direction and delivery of TRM and OSINT/SMR programs in partnership with GSCC leadership; define objectives, timelines, risks, and success measures.
• Oversee vendor lifecycle management through the Program Manager; ensure KPI tracking, accountability, and service quality.
• Align program outcomes to enterprise priorities; remove barriers and prepare leadership narratives.

Stakeholder Engagement & Communication

• Deliver clear, executive-ready communications on program status, platform performance, and strategic recommendations.
• Act as GSCC liaison to enterprise stakeholders; maintain Service Level Agreements (SLAs) and feedback loops for continuous improvement.
• Represent TRM program strategy and performance to senior leadership, cross-functional partners, and external stakeholders.

Operations Readiness & Incident Support

• Partner with GSCC operations leadership to maintain 24/7 readiness; support incident workflows and crisis communications.
• Contribute to procedures, drills, and after-action reviews with intelligence, investigations, and emergency response teams.
• Flex into operations support during high-tempo events to ensure timely updates and stakeholder confidence.

Platform Performance & Strategic Guidance

• Provide strategic guidance for GSCC platforms and data pipelines; drive reliability, scalability, and user experience improvements.
• Oversee geospatial tools and dashboards for situational awareness, asset tracking, and executive briefings; enable automation and integration with OSINT/SMR platforms.
• Ensure integrity and curation of geospatial and intelligence datasets powering real-time decision-making.
• Here are the skills you will need to have to be successful in the role…
• 5+ years of experience in security, with a minimum of 3 years in travel risk management, including demonstrated expertise in TRM program design, implementation, and operations at an enterprise scale.
• Minimum of 3 years directly leading and developing people, including multidisciplinary teams across varied experience levels.
• Subject matter expertise in TRM frameworks, standards (such as ISO 31030), and travel safety program management.
• Working knowledge of OSINT/SMR platforms and operational frameworks.
• Program and portfolio management skills with enterprise-scale initiatives, multiple stakeholders, and competing priorities.
• Working knowledge of Global Security Operations Center (GSOC) operational frameworks and modern security platforms.
• Ability to synthesize complex information and communicate clearly to executives, frontline partners, and cross-functional teams.
• Proven ability to manage vendor relationships, track KPIs, and hold partners accountable to contractual commitments.

Education is important to us, here is what we are looking for…

• Bachelor's degree

It would be a plus if you had these skills…

• Experience building or transforming a TRM program at a global Fortune 500 organization.
• Experience with ArcGIS (maps, dashboards) and related geospatial tools and pipelines.
• Familiarity with vendor ecosystems supporting alerting, monitoring, traveler tracking, and mass notification capabilities.
• Experience driving platform performance improvements (data ingestion, reliability engineering, UX enhancements).
• Executive-level briefing skills and stakeholder management across Legal, HR, Communications, Finance, and Security segments.
• Professional certifications such as CPP, PSP, PMP, or equivalent credentials.
• Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at DisneySecurity #twdcmedia #corp_media
  
  The hiring range for this position in Burbank, CA is $107,300 to $147,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

The Senior Data Scientist will play a critical role in building the foundation of Boot Barn’s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.

Essential Duties and Responsibilities

• Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.
• Demonstrates high level of quality work, attendance and appearance.
• Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
• Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
• Performs any other duties that may be assigned by management.

Qualifications

• Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
• Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Experience with LLMs, vector databases, and RAG pipelines
• Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
• Strong collaboration skills, with experience working closely with engineering and product teams.
• Retail and/or e-commerce experience preferred.

Competencies

• Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
• Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.

Boot Barn Benefits & Additional Compensation Opportunities

• Competitive salary.
• Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
• Paid Time Off plan for year-round Boot Barn Partners.**
• Medical, Dental, Vision and Life Insurance.**
• 401(k) plan with generous company matching.
• Flexible schedules and work/life balance.
• Opportunities for growth at every level – we are opening 50+ new stores each year.

**For eligible Boot Barn Partners

PAY RANGE: $125,000.00 - $150,000.00/yr*

*compensation varies based on geography, skills, experience, and tenure

Physical Demands

In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.

• Standing, walking and squatting less than fifty percent of the work shift.
• Required to lift, move and carry up to 40 pounds.
• Ability to read, count and write to accurately complete all documentation and reports.
• Must be able to see, hear and speak in order to communicate with partners and customers.
• Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
• Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.

[ ] Sedentary: Limited activity, no lifting, limited walking

[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking

[ ] Moderate: Mostly standing, walking, bending, frequent lifting

[ ] Arduous: Heavy lifting, bending, crawling, climbing

Work Environment

In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.

• The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
• Noise levels are considered moderate.

Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.

Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.

Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.

California Privacy Notice

Title: Enterprise Agile Coach -JIRA/JQL

Terms: Long Term Contract

Location: Atlanta area

Hybrid Role

Must live in Atlanta, GA

3 days a week on site is a requirement

Are you looking for a career opportunity that allows you to grow your career? If so, this opportunity will genuinely excite you! Our client is transforming how their organization services their customers while aligning best in breed technology solutions. We are looking for an Enterprise Agile Coach that has hands-on experience working with JIRA and JQL.This individual will help build out & develop best in class work and work on innovative projects for the business.

Job Title: Enterprise Agile Coach (Jira & JQL Specialist)

Position Overview

We are seeking an experienced Agile Coach with deep expertise in Jira and Jira Query Language (JQL) to drive enterprise Agile maturity, optimize delivery performance, and enhance visibility across portfolios. This role partners with Product, Engineering, PMO, and executive leadership to embed Agile best practices, implement data-driven performance metrics, and leverage Jira as a strategic delivery intelligence platform.

The ideal candidate combines hands-on Agile coaching experience with strong technical fluency in Jira configuration, reporting, workflow design, and advanced JQL querying to enable transparent, scalable delivery operations.

Key Responsibilities

Agile Coaching & Transformation

• Coach Scrum Masters, Product Owners, Release Train Engineers (RTEs), and leadership teams on Agile principles and frameworks (Scrum, Kanban, SAFe, Scrumban).
• Lead Agile maturity assessments and develop improvement roadmaps.
• Facilitate Agile ceremonies at team and program levels.
• Drive continuous improvement through inspect-and-adapt practices.
• Support enterprise Agile transformation initiatives.

Jira Administration & Optimization

• Configure and optimize Jira projects, workflows, issue types, permissions, and boards.
• Design scalable Jira frameworks aligned to SDLC governance and compliance requirements.
• Develop standardized templates for epics, features, stories, and acceptance criteria.
• Implement automation rules to streamline workflows and reduce manual effort.
• Maintain alignment between Jira configurations and Agile best practices.

Advanced JQL & Reporting

• Develop complex JQL queries to extract actionable insights across multiple teams and portfolios.
• Create dashboards and executive-level reporting for:
• Velocity trends
• Sprint predictability
• Burn-up / burn-down
• Cycle time & lead time
• Throughput
• Capacity planning
• Dependency tracking
• Partner with leadership to define KPIs and delivery health metrics.
• Train teams on using JQL for self-service reporting and transparency.

Portfolio & Scaling Support

• Enable cross-team coordination (Scrum of Scrums, dependency mapping).
• Support PI planning and scaled Agile events (if SAFe environment).
• Provide portfolio-level analytics using Jira data.
• Align tooling strategy with enterprise governance and compliance standards.

Required Qualifications

• 5+ years of experience as an Agile Coach, Senior Scrum Master, or Agile Transformation Lead.
• Deep expertise in Jira configuration and administration.
• Advanced proficiency in Jira Query Language (JQL).
• Experience designing dashboards and delivery metrics for executive audiences.
• Strong understanding of Agile frameworks (Scrum, Kanban; SAFe preferred).
• Experience coaching multiple teams in complex, enterprise environments.
• Excellent facilitation and stakeholder engagement skills.

Preferred Qualifications

• Jira Administrator certification.
• SAFe Program Consultant (SPC), SAFe Agilist, or equivalent certification.
• Certified Scrum Professional (CSP), PSM II/III, or CSM.
• Experience integrating Jira with BI tools (Power BI, Tableau, etc.).
• Familiarity with DevOps metrics and CI/CD tooling integrations.

Key Competencies

• Servant leadership
• Data-driven decision making
• Enterprise systems thinking
• Conflict resolution and facilitation
• Organizational change management
• Strong communication and executive presence

What Success Looks Like in This Role

• Increased Agile maturity and delivery predictability across teams.
• Standardized, scalable Jira frameworks adopted enterprise wide.
• Clear, executive-level visibility into portfolio health and performance.
• Reduced workflow inefficiencies through automation and governance.
• Empowered teams using Jira and JQL for transparent, data-driven delivery.

About GSquared Group:

Shouldn’t your recruiting partner put as much effort and value into your career as you do? With GSquared Group, we take the time to understand where you would like to take your career and what is important to you.

GSquared Group is a woman-owned boutique technology services company in the Atlanta area. Founded in 2010, we are a premier provider of IT talent search, management consulting, and software development services. We support a diverse client base that spans all industries and includes Fortune 100 to mid-market companies. We offer direct hire placement, contract, and contract-to-hire positions. We are proud to be known by our community for putting relationships at the core of everything we do.

GSquared Benefits:

• Competitive & Comprehensive Healthcare Package (available only for W2 hourly consultants)
• Simple IRA with company match (available only for W2 hourly consultants)
• Professional development & networking opportunities
• A family-friendly environment
• Nice bonuses for referrals
• A culture that supports you and your career

Hear what others are saying on Glassdoor:

Job Title: Solutions & Data Architect

Location: Phoenix, AZ

Job Type: Full Time

Compensation: $180,000 - $200,000 (dependent on experience)

Benefits: The position is eligible for medical, dental, vision, and life insurance coverage, & PTO

Position Summary

We are seeking an experienced Enterprise Solution Architect to lead the design and delivery of complex business applications, integrations, and data platforms. This individual will guide the architecture of scalable, secure, and high-performing technology ecosystems across the organization. The ideal candidate will have deep expertise in modern data platforms and cloud technologies, along with strong experience in application development frameworks and mobile solutions.

Key Responsibilities

• Lead the architecture of end-to-end solutions spanning enterprise applications, integrations, and data ecosystems.
• Design scalable, resilient, and secure system architectures supporting a wide range of business functions.
• Develop and maintain the enterprise data strategy and architectural roadmap to support long-term growth and modernization.
• Establish standards and governance for data quality, lineage, metadata management, and compliance.
• Build and refine cloud-based and hybrid data architectures leveraging modern storage, processing, and analytics platforms.
• Maintain enterprise data modeling standards and documentation across conceptual, logical, and physical layers.
• Collaborate with product and engineering teams to design custom solutions using modern development frameworks and cloud services.
• Lead the architectural direction for mobile applications leveraging native or cross-platform technologies integrated with enterprise systems.
• Create robust integration strategies using APIs, data pipelines, real-time streaming, and automation tools to connect legacy and modern systems.
• Oversee data migration initiatives from legacy platforms to modern cloud or hybrid environments, ensuring continuity and accuracy.
• Establish architectural patterns that support AI/ML initiatives, including data preparation, model lifecycle integration, and deployment.
• Define best practices for performance, scalability, maintainability, and operational readiness.
• Ensure alignment with cybersecurity standards, data-privacy requirements, and organizational controls.
• Champion architectural governance processes to maintain consistency across platforms and teams.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline.
• 8+ years of experience in solution architecture, enterprise systems design, or application development.
• Hands-on experience with:
• Modern cloud and data platforms (e.g., Azure-based analytics, Databricks-style platforms, or cloud data warehouses).
• Data modeling, pipeline development, and governance practices.
• Application development frameworks such as .NET, C#, and related technologies.
• SQL-based relational databases and reporting tools.
• Cloud services for application, integration, and workflow orchestration.
• Low-code/no-code platforms for workflow automation and app development.
• Mobile application development using native or cross-platform frameworks.
• Experience integrating enterprise platforms such as ERP, CRM, or HR systems.
• Background supporting operations-driven environments (industry experience not required but beneficial).
• Familiarity with Agile delivery methodologies.
• Strong communication skills with the ability to work across technical and non-technical teams.

Director, Influencer Marketing

Bloom Nutrition

IG @bloomsupps @marillewellyn

TikTok @bloomnu

About Bloom:

Founded by wellness influencer and entrepreneur Mari Llewellyn, Bloom Nutrition is one of the fastest growing wellness brands in the US. Our mission is to help people bloom into their best selves through nutritious and delicious wellness solutions.

Recognized for our innovation and growth, we're proud recipients of several awards:

Forbes 30 under 30 (2023)

Target Partner of the Year (2023)

LinkedIn's Top Start-Ups (2023 & 2024)

EY Entrepreneurs of the Year (2024)

Inc. 5000 Company (2024 & 2025)

NewBeauty 100 Wellness Awards (2024)

Location: Austin, TX, hybrid schedule 4x onsite

Reporting to: Head of Influencer Marketing

Job Overview

The Director of Influencer Marketing will lead strategy and execution across Bloom’s creator ecosystem, managing multiple budgets and business priorities within our portfolio. This role blends agency-caliber rigor with in-house ownership. Reporting into the Head of Influencer Marketing and partnering closely with brand leads, paid media, creative, international teams, and external partners you will deliver best-in-class influencer programs that fuel growth, launches, and cultural relevance while ensuring consistency, scalability, and performance across DTC, retail, and international markets.

Key Responsibilities

• Help shape and execute our influencer marketing strategy across multiple Bloom brands, launches, and evergreen creator programs, aligned to broader business objectives
• Manage and allocate influencer budgets across initiatives, brands, and markets, balancing brand-building and performance goals
• Partner closely with brand marketing, paid media, creative, international, and e-commerce teams to integrate creators across platforms
• Oversee creator sourcing, briefing, contracting, content feedback, and usage rights at scale
• Develop frameworks, playbooks, and operational systems to standardize influencer execution across the portfolio
• Collaborate with our data team to validate performance measurement and reporting, translating creator impact into clear business outcomes for senior stakeholders
• Mentor and manage team members, providing strategic guidance, prioritization, and career development
• Stay ahead of creator, platform, and cultural trends to continuously evolve Bloom’s influencer marketing
• Lead agency relationships and external partners, setting clear scopes, KPIs, and performance expectations

Who You Are

• A seasoned team leader; comfortable owning complex, multi-brand programs with overlapping priorities and stakeholders
• Highly collaborative, with the ability to influence without friction across teams and geographies
• Both strategic and hands-on–able to set vision while ensuring operational excellence
• Data-literate and performance-minded, but equally fluent in creative, culture, and storytelling
• Calm under pressure, organized, and confident navigating a fast-paced environment

Skills and Qualifications

• 8-10+ years of experience in influencer or creator marketing, ideally with agency experience/multi-brand exposure
• Proven track record managing large budgets and delivering influencer programs tied to measurable business results
• Deep understanding of the creator ecosystem across TikTok, Instagram, YouTube, and emerging platforms
• Experience integrating influencer content into paid media, affiliate, and performance marketing strategies
• Strong stakeholder management skills, with experience working across brand, paid, creative, and international teams
• Demonstrated ability to build scalable systems, processes, and playbooks
• Experience managing and developing high-performing teams
• Familiarity with influencer platforms and reporting tools (e.g., CreatorIQ, CreatorCore, GRIN, etc)
• Clear, confident communicator with executive presence and strong written skills

Benefits

• Fun and inclusive work environment with a super collaborative team
• Access to Company Insurance (Health, Dental, Vision)
• Company-wide events
• 401(k) plan that the company matches because your future should bloom as well
• Generous PTO because work-life balance is important
• A brand new company laptop (yes, it’s Apple)
• Access to all the Bloom supplements and swag so you can bloom into your best self!

Bloom is an equal opportunity employer and values diversity in the workplace. We encourage candidates from all backgrounds to apply.

This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. The company reserves the right to modify the duties or assign additional duties as necessary.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Do you want to play a key role in enhancing the Cybersecurity program for a Fortune 200 company and national brand that has also been listed on the Fortune 100 Best Places to Work for the past 21 years in a row? Do you enjoy working in a collaborative environment where your ideas can help shape the direction and development of critical cybersecurity capabilities?

Do you want to work with a team of talented professionals that have in-depth technical knowledge and be the subject matter expert in technology governance, risk management, compliance, and audit requirements?

Then your job search begins and ends here….

Who we are looking for:

A Senior Technology/Information Risk Analyst with experience in the areas highlighted below. This is a unique opportunity to work at a Fortune 200 company and national brand to expand your skills and influence a growing Information Risk Management Program. This opportunity provides the ability to work with the Technology teams to effectively manage information risk and perform risk assessments. You will work with senior risk management and technology professionals to design and facilitate cybersecurity risk assessments on existing technology, processes to accommodate new business areas as well as changes in our risk profile and provide support across our information risk management framework activities. You will assist the Cybersecurity, technology, compliance, and information risk teams in identifying risks, developing recommendations to mitigate risk, manage information security policies, and assist with the company-wide information security awareness program, including design and management of the annual Information Security Training.

The Day to Day:

• As a key member of a high performing information risk management team, support, execute and maintain a framework for information risk management including validation, weighting, and classification methods.
• Perform information security risk assessments, understand threats, vulnerabilities and exposures associated with confidentiality, integrity and availability of information.
• Help develop related processes and procedures to ensure and enforce compliance with all company policies, applicable laws, and regulatory requirements regarding information security, privacy, and data integrity as well as reducing vulnerabilities.
• Assist with the development and delivery of information security risk related training and awareness programs.
• Assist with analysis of security vulnerabilities, developing risk-based business recommendations.
• Administer governance, risk and compliance systems and processes owned by the department.
• Assist in preparation of accurate and timely communications of risks, recommendations and conclusions as well as evaluating management mitigation plans.
• Assist in developing automated risk assessment tools and processes.
• Gathers data, conducts analyses, and prepares related risk reporting.
• As an integral member of the team, exhibiting ownership, follow-through, initiative, awareness and effective communication with peers and management and ability to speak to details of information risk management

Information Risk Methodology:

• Ability to help design and implement industry standard technology risk management practices across the enterprise.
• Champion the information risk management methodology by demonstrating ownership of the design aspects of the operations lifecycle.
• Passionate about support & ownership of threat areas of Cybersecurity.
• Understand level of risks and exposure as it relates to systems, services, and networks.
• Driver of security awareness type activities with proven results.

Here's the technology part…

Experience with the following required:

• Ability to understand the business requirements as well as provide a proposal of the appropriate information risk resolution to computer threats.
• Ability to understand the business processes supported across all team’s environments.
• Understanding of key compliance regulations such as Sarbanes-Oxley, GLBA, HIPPA , CFPB, and Payment Card Industry (PCI), plus external Cybersecurity and privacy regulations.
• Experience in execution of an enterprise and technology risk framework, including the identification, assessment, and mitigation of risk: understanding how to balance the company’s risk appetite and its overall impact.
• Understanding of network controls, cloud controls, user administration, authentication methods, file permissions, groups, and domain concepts.
• Demonstrated ability to compare alternative information security risk approaches and methodologies while assessing risk both quantitatively and qualitatively to meet the business needs.
• Excellent communication skills to include but not limited to verbal and written communication; delivering organized presentations; able to tailor message to the audience; and facilitate group discussions with diplomacy and seek diverse opinions.
• Excellent analytical, troubleshooting, and problem-solving skills and performs well under fast paced, high pressure or stressful situations.
• Ability to learn the business processes implemented in the team's applications. Demonstrated flexibility.
• Proven ability to effectively communicate remediation and prevention approaches via leading practices.
• Ability to help develop and deliver information security awareness training and business understanding for business partners, engineers, developers, and analysts.
• Ability to drive through obstacles and time constraints to successfully deliver to completion
• Dedication and commitment to world class service and to exceeding customer expectations.
• Desire to learn and keep current with technology and emerging technology risk trends.
• Possess strong organization and time management skills.
• Demonstrated flexibility in a fast paced and agile environment.
• Expertise solving technical problems and presenting solutions which impact all areas of their team’s systems environments.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to evaluate long term impacts when making recommendations and decisions.

Education and/or Experience:

• Bachelor's degree in Business/ Computer Science/Information Systems with IT audit, risk or compliance experience or equivalent military experience.
• Industry certification required, i.e. Certified in Risk and Information Systems Control (“CRISC”), or in the process of obtaining the CRISC, CISA, CISM, BCBP, CIA, PCI, CISSP.
• Knowledge of information security, risk management industry frameworks and standards NIST, COSO, OWASP, ISO-27001/2, SANS, Cobit and ITIL.
• 5+ years working experience with enterprise and technology risk management programs, privacy, data security and control issues with technologies.
• Previous working experience and/or knowledge of two or more security functions (IT Risk Assessor, QSA, Security Specialist, IT Auditor).

Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center. Associates based in Richmond work onsite 5 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About TYR Sport

TYR Sport is one of the most recognized and respected performance athletic brands in the world. Named for the Norse god of valor and sacrifice, TYR was founded on the belief that the pursuit of excellence demands the finest tools. Today, TYR is the second-largest performance swimwear brand in North America, with products distributed in more than 30 countries and annual revenue exceeding $100 million. The brand’s portfolio spans competitive swimwear, triathlon gear, training apparel, footwear, and equipment — all engineered for athletes who train with intent and compete with purpose.

TYR’s digital infrastructure is anchored by a Shopify Plus ecommerce platform supported by an expanding suite of technology integrations, including product information management tools and digital marketing platforms. As TYR accelerates its global digital business, the company is making a major investment in artificial intelligence to build a next-generation customer experience that unifies ecommerce, marketing, and sales into a single intelligent ecosystem.

The Opportunity

This is TYR’s most senior AI role. The Director of Artificial Intelligence will lead the company’s AI strategy, own the technical roadmap, and be accountable for AI’s impact on revenue, growth, and competitive advantage.

Reporting directly to the Chief Operating Officer or Chief Executive Officer, this leader will build TYR’s AI function from the ground up, initially as a hands-on individual contributor. The Director will define the strategy, infrastructure, and operating framework that will shape the company’s technological future. As the function matures, there will be an opportunity to build and lead a dedicated AI team.

The Director will operate as a peer to other functional leaders, with the authority to drive AI adoption across the organization, including ecommerce, marketing, sales, supply chain, and operations.

The primary commercial focus of this role is TYR’s digital business. Ecommerce and marketing are the highest-priority domains, and the Director will be expected to deliver measurable results in these areas first. This leader will transform TYR’s digital storefront into a personalized, AI-driven shopping experience and help evolve marketing into a precision, data-driven growth engine.

The ideal candidate is a seasoned AI practitioner who can operate strategically while remaining deeply hands-on — someone who has built and deployed high-impact AI products in ecommerce, retail, or consumer environments and can confidently influence senior leadership.

Core Responsibilities

Enterprise AI Leadership

Serve as the single point of leadership for artificial intelligence across TYR. Define the company’s AI vision, establish strategic priorities, and oversee architectural and investment decisions. Develop and maintain a multi-year AI roadmap aligned with TYR’s growth strategy, and communicate progress and outcomes to executive leadership.

Establish the processes, governance frameworks, and technical foundations necessary to scale AI innovation across the organization.

Ecommerce Intelligence and Personalization

Lead the transformation of TYR’s digital storefront into a personalized and intelligent shopping experience.

Develop and deploy recommendation engines that surface the right products to the right customers across the digital journey, including homepage, product pages, cart, and post-purchase interactions. Build AI-driven search and product discovery tools that improve findability and reduce friction in the purchasing process.

Design dynamic pricing and promotion models that optimize both margin and conversion, leveraging behavioral signals, purchase history, and inventory data.

Develop a unified customer intelligence platform that enables TYR to understand, predict, and influence customer behavior across the full lifecycle. These capabilities should drive improvements in conversion rates, average order value, customer retention, and lifetime value.

Marketing Intelligence and Growth Automation

Partner closely with TYR’s marketing leadership to elevate the effectiveness and precision of marketing efforts through AI.

Develop advanced customer segmentation models that move beyond demographic targeting to incorporate behavioral and predictive signals. These models will power more intelligent audience strategies across paid media, email, SMS, and social channels.

Implement generative AI solutions that support dynamic content creation, including personalized ad copy, email messaging, and product descriptions. Establish automated testing and optimization frameworks to continuously improve campaign performance.

Develop marketing mix and attribution models that enable real-time optimization of spend and improved return on ad investment. Build predictive models that support customer acquisition, retention, and churn prevention.

Sales Enablement and B2B Intelligence

Support TYR’s wholesale and B2B channels by developing AI-driven sales enablement tools. This includes predictive lead scoring, account health insights, and deal intelligence systems that help sales teams prioritize opportunities and strengthen relationships with key retail partners.

Technical Execution and Partnerships

Initially operate as a hands-on technical leader responsible for building and deploying AI solutions across TYR’s priority initiatives. Lead the full model lifecycle, including data ingestion, feature engineering, model development, deployment, and monitoring.

Act as TYR’s primary liaison with AI technology vendors and platform partners to ensure the company leverages best-in-class tools and infrastructure. As the AI roadmap expands, the Director will help define and grow the supporting team.

Responsible AI and Data Governance

Establish and maintain TYR’s framework for responsible AI and data governance. Ensure that models and data systems adhere to principles of fairness, transparency, and privacy while complying with relevant regulations including GDPR and CCPA. Monitor production systems to mitigate bias, protect data security, and maintain high standards for model performance and accountability.

Qualifications and Experience

• 10+ years of experience in data science, machine learning, or a related field with a strong record as a hands-on practitioner
• Proven experience deploying AI solutions in ecommerce, retail, or direct-to-consumer environments with measurable business impact
• Ability to operate at an executive level and communicate complex technical concepts clearly to senior leadership
• Strong understanding of ecommerce or consumer business models and the ability to connect AI initiatives directly to business outcomes
• Deep technical expertise in machine learning, data science, and AI systems architecture
• Demonstrated ability to influence cross-functional stakeholders and drive adoption of AI across an organization
• Experience leading or building technical teams is a plus
• Master’s or Ph.D. in Computer Science, Statistics, Engineering, or a related quantitative field preferred; MBA a plus

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Open date: February 13, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

The School of Information at the University of California, Berkeley invites applications for up to three new full-time Bellwether Postdoctoral Scholars to start as soon as July 2026. The exact start date is negotiable. These positions are available for two years, and are non-renewable. J-1 visa sponsorship is available for this position.

These postdoctoral positions are for academics in the early stages of their career who demonstrate exceptional potential as a scholar and researcher. Applicants should either have completed a doctoral degree, or be able to convincingly demonstrate that they will complete the degree before they intend to start this postdoctoral position (e.g. by documenting a scheduled viva/final defense).

We are seeking applicants with active research plans in any of the following areas:

BPS 1) We seek applicants pursuing a research agenda at the intersection of computer science and applied economics, with interdisciplinary training and interests in both topics. The successful applicant will work on projects that address pressing policy issues, using a mix of quantitative and computational methods (e.g., econometrics, data science, AI/ML). Examples of active projects include, but are not limited to, developing theory and methods for robust and equitable decision making in social settings; the use of machine learning and digital data to guide resource allocation and related policies in low-income countries; and creating and validating new techniques for monitoring living standards and well-being in high-stakes policy environments. This position will be supervised by Joshua Blumenstock.

BPS 2) We seek applicants with interdisciplinary training and interests pursuing a research agenda at the intersection of information science, computational social science, and public-interest research. The successful applicant will work on projects that examine how sociotechnical information systems shape high-stakes decision-making across digital and institutional contexts to address pressing issues in information access, trustworthiness, and credibility, using a mix of computational, quantitative, and qualitative methods (e.g., natural language processing, digital trace data, surveys, and interviews). Examples of active projects include, but are not limited to, studying online communities as informal information infrastructures; analyzing how search engines and digital platforms structure the visibility and credibility of information; developing methods to monitor and contextualize misinformation and uncertainty in sensitive or politicized domains; and advancing conceptual frameworks for understanding information ecosystems as structural determinants of equity, autonomy, and well-being, including but not limited to health-related contexts. This position will be supervised by Coye Cheshire.

BPS 3) We seek applicants with active research plans in climate and sustainability informatics, leveraging information and/or information tools to empower individuals, communities, and organizations in tackling the challenges of climate change and biodiversity conservation. We welcome applicants with strong backgrounds in one or more of the following areas: remote sensing, ML, NLP, HCI, participatory design, design research, biosensory computing. The successful applicant will become a core member of the IceBerk Lab ( ), and be supervised by John Chuang, with possible co-supervision by another IceBerk faculty member where appropriate.

BPS 4) The Cultural Analytics group seeks postdoc applicants to conduct data-driven research across archival heritage and born-digital media. Current projects include, but are not limited to: (i) the study of narrative, belief and resonance, where the goal is to understand how narrative is mutually constitutive of beliefs, and how narrative resonates in and across communities of belief; (ii) extracting narrative elements from literary works, with a strong focus on complex corpora such as the Icelandic sagas to understand composition and social modeling in late medieval fiction; (iii) further developing the approach of archetyptonics along with the SOCKS project at University of Vermont's Complex Systems Center; and (iv) refining a search engine for popular dance, where the search term is the dancer's sequence of poses, here focusing on Kpop dance. Ideal candidates bridge Computational Humanities/Social Science Computing (ML, Networks, and/or Computer Vision) with a qualitative theoretical background. You will be supervised by Tim Tangherlini (with potential I-School co-supervision), and be associated with the Berkeley Institute for Data Science (BIDS) and the AI Futures Lab. We welcome applicants with active research plans ready to contribute to a vibrant, interdisciplinary environment.

BPS 5) The goal of this postdoctoral position is to contribute to the development of an empirically-backed theoretical understanding of how people understand and make sense of the combination of graphic and textual information. We seek a scholar with expertise in some combination of information visualization, the psychology of reading and/or diagram interpretation, and cognitive science or neuroscience more generally to investigate human conception at the intersection of language and information visualization. Expertise in conducting and analyzing eye gaze is a requirement of the position. Expertise or interest in multimodal information, both cognitively and in large vision and language models is a plus. The mentor for this position is Professor Marti Hearst.

BPS 6) Seeking postdoc applicants with a passion for and commitment to equity-driven co-design with local marginalized Indigenous communities. A successful applicant will work on projects that weave together Indigenous knowledge, experiences, and values that address public-facing outcomes, such as informal science education programs and exhibits at local museums and cultural centers. The applicant will help develop theory and methods for world-building equity that integrate marginalized communities' cultural and social struggles. We are seeking applicants with the following attributes: strong background in co-design with marginalized communities, design research, qualitative methods, and experience building mixed reality systems. Knowledge of Indigenous research methods is a plus. This position will be supervised by Kimiko Ryokai.

The Bellwether Postdoctoral Scholar program is designed to allow exceptionally promising young researchers the time to develop their own research while collaborating with leading established faculty. It is designed to accelerate careers, and to maximize the ability of Bellwether Postdoctoral Scholars to build independent research trajectories. To accomplish this, a portion (30-40%) of each post-doc's time will be reserved for their own independent research and publication efforts, including publishing results from their dissertation.

Additionally, all Bellwether Postdoctoral Scholars will work with a mentor or mentors on research projects in the areas listed above (60-70%), all of which are either already active or will be at the time of the start of the post-doc. All have significant publication opportunities planned.

These postdoctoral positions are research-focused and do not include teaching. However, all post-docs will be given opportunities for guest lecturing and will be expected to give public talks about their research. Post-docs will also contribute to planning and hosting public talks for others, and will be expected to be active participants in I School academic events such as research talks.

Each postdoctoral scholar will have access to up to $5,000 annually for research expenses and travel to professional conferences and research opportunities. A laptop computer will also be provided for the duration of the post-doc.

For all of the above positions, we only seek candidates with excellent research and leadership abilities and a commitment to contributing to the UC Berkeley I School and the field of information more broadly while accelerating their career.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

School:

School: about/community

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.

PhD (or equivalent international degree) required by start date.

No more than three years of postdoctoral research experience.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - 1-2 pages. Required elements of your cover letter include:

  
  
  

  which position(s) you are applying for (e.g. BPS1 or BPS5);
  
  when you would be available to start your postdoctoral work;
  
  a clear articulation of your fit with the UC Berkeley I School, addressing how your expertise overlaps with, enhances, or expands upon the research area indicated for your position(s) of interest. Please include names of any mentors that you would like to work with beyond the project supervisor.

  
  

• Statement of Research - 2-3 pages. Includes a description of the focus of your planned independent research and publications during the post-doc, what resources would you need to do that work, and an explanation of how the research builds on and goes beyond work you have already done.

  
  

• Writing Sample - Preferably a pre- or post-print of a first-authored publication.

  
  

• 3-5 required (contact information only)

We may contact your references at any stage in the hiring process unless you request otherwise. Please only provide contact information and do not request letters be sent at the time of application. Letters will be solicited for all finalists.

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Securian's Asset Management team is dedicated to enhancing our investment portfolios while effectively managing risks. We are a part of Securian Financial Group, a company committed to helping customers build secure tomorrows through insurance, investments and retirement solutions.

We are seeking a highly skilled and motivated Investment Risk Manager to join our dynamic team. In this role, you will be responsible for building an investment risk framework that allows us to identify, assess, and mitigate risks associated with our investment portfolios. You also will oversee the risk in portfolios related to our reinsurance trusts and other third-party managers.

As the Investment Risk Manager, you'll be required to have a deep understanding of investment risk principles and investment strategies, strong analytical skills, and the ability to communicate effectively and work collaboratively with various departments across Securian Asset Management and its parent company, Securian Financial Group.

• Collaborate with the investment, data, technology, and leadership teams to build an investment risk monitoring framework that will enable efficient monitoring of identified attributes at defined intervals.

• Utilize the investment risk monitoring framework to monitor risks within specific asset classes and across the entire client portfolio.

• Lead discussions among investment professionals and leadership on which risk attributes to monitor and appropriate guidelines for each attribute.

• Initiate notification processes when risk attributes fall outside of established guidelines.

• Conduct stress testing and scenario analysis to evaluate potential impacts on portfolios.

• Raise concerns with portfolio teams and leadership where investment risks fall outside of established guidelines or in anticipation of potential movement outside of guidelines.

• Partner with Securian's Enterprise Risk Management Team to incorporate investment risk controls into our broader enterprise risk management view.

• Maintain knowledge of industry best practices on investment risk oversight.

• Produce ad hoc reporting in support of the CIO, Securian AM leadership, and enterprise partners to provide transparency on investment risk attributes on an as-needed basis.

• Represent the investment risk function when appropriate at various forums (i.e., enterprise committees, fund boards, corporate committees, and corporate boards).

• Develop oversight framework tailored to individual 3rd party relationships, including specific investment guidelines.

• Monitor investment risk attributes of externally managed portfolios.

• Coordinate with enterprise partners on comprehensive 3rd party investment management oversight process.

• Consult with enterprise partners on investment risk considerations for potential new relationships.

Qualifications:

• Bachelor's degree in finance, economics, or a related field

• Minimum of 5 years of experience in risk management within the asset management or insurance industry, with a focus on credit risk

• Strong analytical and quantitative skills

• Demonstrated aptitude for leveraging data and systems to produce effective monitoring and reporting

• Understanding of asset risk theory, relevant analytical and numerical modeling techniques, and industry-standard risk metrics that quantify various dimensions of asset risk

• Excellent communication and presentation skills

• Ability to collaborate and gain buy-in across various teams within Securian AM and the Securian enterprise

• Ability to stand firm in risk management principles and make tough decisions

Preferred Qualifications:

• Advanced degree (e.g. MBA) or professional certification (e.g. CFA, FRM)

• Experience with Clearwater, Bloomberg, Factset, Snowflake, Tableau, Power BI

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules. #LI-Hybrid

*Internal Securian Financial job title for this position is Risk Management Sr. Consultant*

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.

1. Research Leadership in Foundation Models, World Models, and Frontier AI

• Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
• Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
• Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.

2. Lab Management and AI Compute Infrastructure Operations

• Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
• Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
• Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
• Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
• Demonstrated experience mentoring students or leading technical AI teams.
• Strong communication and presentation skills for both technical and non-technical audiences.

Linda Dillon, Lucretia Allen or Shalonda Williams at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives and help shape how AI delivers real impact in drug discovery, we'd like to hear from you.

Position Overview

We are seeking Senior Scientists to develop agentic AI systems that transform how drug discovery research is conducted. As part of the AI/ML Foundation team, you will build autonomous AI agents capable of reasoning, planning, and executing complex scientific workflows—from literature synthesis and target identification to experimental design and data analysis. This role requires a unique combination of expertise in large language models, agentic frameworks, and understanding of drug discovery processes. You will translate standard research workflows into agentic frameworks, develop new agent skills, and deploy systems that augment scientist productivity across Computational Sciences and Global Research.

Accountabilities:

• Develop agentic AI systems for drug discovery applications including target-disease association, automated literature search and synthesis, hypothesis generation, and intelligent design of experiments.
• Translate standard research workflows into agentic frameworks—decomposing complex scientific processes into autonomous agent tasks that can reason, plan, execute tools, and iterate based on results.
• Design and implement new agent skills (tools, functions, APIs) that extend agentic capabilities to specialized scientific domains including molecular design, property prediction, assay planning, and data analysis.
• Build agentic systems that integrate with foundation models and external knowledge sources for autonomous hypothesis generation, evidence retrieval, and scientific reasoning.
• Develop retrieval-augmented generation (RAG) pipelines connecting agents to internal and external scientific literature, databases, and experimental results.
• Partner with research scientists to understand workflow needs, validate agent outputs, and iterate on system design to ensure scientific rigor and utility.
• Stay current with advances in agentic AI, LLM applications, and scientific automation; contribute to internal knowledge sharing and external publications.

Educational & Requirements:

• PhD in Computer Science, Computational Biology, Bioinformatics, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience.
• Strong experience with large language models (GPT, Claude, Llama) and their application to complex reasoning tasks.
• Proficiency in Python and experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar).
• Experience building RAG systems including vector databases, embedding models, and retrieval pipelines.
• Understanding of drug discovery processes and scientific research workflows.
• Strong problem-solving skills and ability to translate complex scientific processes into computational workflows.

Preferred:

• Experience in pharmaceutical or biotech R&D environments.
• Background in biology, chemistry, or disease biology.
• Experience with reinforcement learning or planning algorithms for agent decision-making.
• Familiarity with scientific databases (PubMed, UniProt, ChEMBL) and APIs.
• Experience deploying AI systems in production environments.
• Track record of publications or presentations on LLM ap

Additional Competencies Common in Strong Candidates

• Ability to lead cross-functional initiatives and mentor junior scientists.
• Experience in translating computational insights into experimental strategies.
• Strong publication record or demonstrated thought leadership in AI for biology and molecular design.
• Comfort working in fast-paced, innovation-driven environments with evolving priorities.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

Location: Seattle (in-person)

Salary: $70,000–$110,000 depending on experience

Nimbus AI builds the fastest way for companies to create, train, and resell branded conversational and workflow agents. Our platform automates data capture, optimization, and deployment so teams can transform conversations and workflows into continuously improving, revenue-generating AI products.

We're hiring a QA Manager to build and lead the quality assurance function for Nimbus's agentic AI systems. You'll establish testing frameworks, develop evaluation criteria, and ensure our conversational agents and workflow automations perform reliably across all customer deployments. You'll work cross-functionally with product, engineering, and customer teams to catch edge cases, validate model behavior, and maintain the quality standards that make Nimbus agents trustworthy at scale.

This role is perfect for someone who loves building QA processes from the ground up, has a sharp eye for AI-specific failure modes, and can translate ambiguous agent behaviors into concrete test cases and quality metrics.

• QA strategy & framework development for conversational agents, workflow automations, and partner-specific models across multiple verticals.
• Test planning and execution—designing test cases, evaluation rubrics, regression suites, and automated testing pipelines for agent behavior.
• Quality metrics and monitoring to track agent accuracy, consistency, guardrail effectiveness, and performance degradation over time.
• Cross-functional collaboration with prompt engineers, product, and engineering teams to identify, document, and resolve quality issues.
• Agent validation processes to ensure new releases, prompt changes, and training updates maintain reliability standards.
• Team building and leadership as we scale—hiring, mentoring, and growing the QA function.

• 5+ years of QA experience, with at least 2 years in a management or lead role.
• Experience testing AI/ML products, LLM applications, or conversational systems—you understand non-deterministic behavior and how to test it.
• Strong analytical skills—comfortable evaluating agent outputs, identifying patterns in failures, and defining measurable quality standards.
• Ability to build testing frameworks from scratch, including test case libraries, evaluation criteria, and automation strategies.
• Experience with technical testing tools (APIs, JSON, test automation frameworks, monitoring systems).
• Excellent communication skills—you can clearly document bugs, write test plans, and explain quality issues to technical and non-technical stakeholders.
• Leadership experience building or managing QA teams, processes, and culture.

• Build the QA function from the ground up—define how quality works for agentic AI at scale.
• Be part of a small, fast team where your quality standards will directly impact hundreds of deployed agents.
• Work with cutting-edge LLMs and agentic systems—testing challenges that don't exist anywhere else yet.
• Grow into a senior leadership role as our platform, customer base, and team expand.

Location: Denver, CO (Denver Tech Center)

Schedule: Hybrid - Onsite 1 day per week

Type: Full-Time, Direct Hire

Salary: $160k - $175k + bonus + Long Term Incentive

Description

Seeking an accomplished Principal Software Engineer to serve as a key technical leader and architectural visionary, driving the design and development of our next‑generation real estate technology platforms. In this role, you will guide engineering strategy, architect large-scale, cloud‑native, full‑stack applications, and collaborate across product, UX, platform, and data teams to deliver secure, high‑performance, enterprise-grade systems. You will influence engineering culture, mentor senior engineers, and ensure our solutions remain scalable, observable, and aligned with long‑term business outcomes.

Responsibilities

Architecture & Technical Leadership

• Architect and own end‑to‑end technical solutions across front‑end, back‑end, and data layers for enterprise-scale products.
• Drive cloud-native architecture on AWS, including microservices, event-driven patterns, security controls, and scalable data workflows.
• Lead cross-team architectural reviews, ensuring alignment with engineering best practices, long-term platform strategy, and organizational technical standards.
• Champion DevOps, embedding security, quality, and observability into every stage of the SDLC.
• Champion observability across the organization, ensuring systems are setup for deep visibility, actionable alerts, and fast root-cause analysis.

Full‑Stack Product Development

• Design, build, and maintain applications using Next.js, NestJS, and modern JavaScript/TypeScript frameworks.
• Build robust APIs, services, and distributed systems using Node.js-based server frameworks.
• Support rich front-end experiences, focusing on performance, accessibility, and scalable UI architecture.
• Develop efficient data access patterns using both relational and NoSQL databases.

Enterprise Software Delivery

• Implement and evolve CI/CD pipelines using GitLab CI to improve deployment frequency, reliability, and operational excellence.
• Deploy, monitor, and optimize applications on AWS.
• Integrate and operationalize observability tooling, including logging frameworks, metrics collection, distributed tracing, dashboards, and alerting systems.

Collaboration & Cross‑Functional Influence

• Partner with Product, Data, Architecture, Platform Engineering, Security, and peer Principal Engineers to drive strategic initiatives and technical roadmaps.
• Translate complex technical concepts into business-aligned recommendations for stakeholders.
• Serve as a key voice in engineering strategy, bringing clarity and thought leadership to complex organizational decisions.

Mentorship & Culture Building

• Mentor engineers at all levels through pairing, architecture reviews, and continuous knowledge-sharing practices.
• Foster a culture of engineering excellence based on collaboration, craftsmanship, innovation, and continuous improvement.
• Lead teams in solving the organization's most challenging technical problems with creativity and long-term thinking.

Qualifications

Required

• 10+ years of software engineering experience, including more than 3 years in technical leadership or principal-level roles.
• Strong full‑stack engineering experience, with deep expertise in front-end, back-end, and data architecture.
• Advanced proficiency in JavaScript/TypeScript, Next.js, NestJS, Node.js, and modern application frameworks.
• Strong experience with both NoSQL (e.g., DynamoDB, MongoDB) and SQL databases (e.g., PostgreSQL, MySQL).
• Expert in building and maintaining CI/CD pipelines (GitLab preferred).
• Extensive experience architecting and deploying solutions on AWS.
• Hands-on experience with logs, metrics, tracing, APM tools, and observability platforms.
• Strong communication skills and the ability to collaborate across multiple teams and stakeholders.

Principal-Level Expectations

• Proven ability to architect large-scale, distributed, cloud-native systems in production environments.
• Demonstrated experience influencing cross-functional strategy and driving technical decisions across multiple teams.
• Ability to evaluate emerging technologies and guide adoption across the organization.
• Deep understanding and experience architecting highly available systems that are highly performant and follow industry standards for observability, alerting, and logging.
• Preferred: Experience architecting and optimizing SaaS platforms with eCommerce integrations, leveraging SEO best practices, geo‑aware capabilities, and LLM-driven features to enhance personalization, search relevance, and global user experience.

Benefits:

• Competitive Medical, Dental, and Vision benefits
• Retirement plans with optimal company match
• Annual bonus/merit opportunity
• Educational Assistance
• Medical Health support program
• Events offered in-person and virtually
• Mentorship program
• Employee Resource Groups
• Unlimited PTO
• 7 holidays + 5 additional flex days
• Monthly Home Office reimbursement

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.