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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.
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

• 
  
• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

• 
  
• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
  • 
    
  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
• Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
• Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
• Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
• Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
• Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

• 5+ year of full stack development experience.
• Strong software engineering background with experience building production-grade applications.
• Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Practical experience building RAG pipelines using vector databases and embedding models.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Solid Python experience for AI development.
• Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
• Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
• Understanding of data formats such as JSON, XML, and document-based data.
• Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
• Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
• Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
• Exposure to video or image models and multimodal AI use cases.
• Experience working in enterprise environments with security, compliance, and change management considerations.
• Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

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.

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

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

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.

We’re hiring a B2B SaaS Account Executive to sell AI-powered solutions to growing and enterprise businesses. This role is designed for someone who is genuinely AI-obsessed—the kind of seller who actively follows new models, experiments with AI tools, and wants to be at the front line of how AI is changing the way companies operate.

As an AI Account Executive at Commercient, you’ll own the full sales cycle for our AI automation and chatbot solutions, from prospecting and demos to closing complex B2B SaaS deals. You’ll work directly with customers to understand real business problems and translate cutting-edge AI—LLMs, intelligent automation, and ERP–CRM integrations—into practical, high-impact outcomes. This is a SaaS sales role for someone excited to sell sophisticated AI technology, engage senior stakeholders, and help shape the next generation of AI-driven sales motions.

If you’re the kind of person who keeps up with AI breakthroughs, tests new tools for fun, and wants your sales career tightly aligned with the future of AI, Commercient is where you’ll thrive.

Location: Atlanta, GA (Hybrid) — open to fully remote candidates based in the United States

What You’ll Do

As our AI Sales Representative, you’ll be on the front lines driving our growth:

• Prospect, pitch, and close deals for our AI technology solution such as our chatbot.
• Build and nurture strong client relationships with Salesforce, HubSpot, Zoho, etc.
• Represent Commercient at meetings, demos, and events across the US
• Gather insights from the market to help shape our product and sales strategy
• Hit and exceed sales targets while growing your career in a fast-moving company
• Travel to several conferences per year in the US

Who You Are

• Sales hunter with a passion for building relationships and closing deals
• Energetic, ambitious, and motivated by results
• AI enthusiast who likes to learn about AI and stays current with the trends
• Comfortable meeting clients and thriving in a dynamic, less-structured environment
• Bachelor’s degree or equivalent experience in Sales, Business Development, or related fields (optional if you have killer sales results!)
• 3-7 years of experience in SaaS or AI solution sales (ERP, CRM, or automation experience strongly preferred)
• Familiarity with Salesforce, HubSpot, or ERP ecosystems
• Understanding of AI chatbots, RAG systems, or natural language interfaces (bonus if you can explain GPT, embeddings, or vector databases in plain English)
• Consultative, high-EQ selling style with technical curiosity
• Comfortable engaging at C-level and VP-level
• Self-starter with strong pipeline discipline and storytelling ability
• Excited about shaping a next-generation AI sales motion
• Experience with any Chatbot or LLM tech stack: Google Gemini, Google AI Studio, Open AI, Liveperson, Drift chat, Microsoft Copilot, Agents, Agentforce, HubSpot AI, Support desk or Helpdesk AI assistants, Slack AI assistants, etc.
• Comfortable working independently in a remote team environment
• Applicants must have near-native English proficiency. A short written and verbal English evaluation will be part of the selection process.

Not for you if: you dislike rejection or ambitious goals.

Why Join Us?

• Be a key player in our expansion — your impact is direct and visible
• Work closely with founders and an international team
• Learn and grow in a tech-driven, fast-moving environment
• We have an engaging, collaborative culture focused on succeeding together

Compensation & Perks

• Competitive base starting at $55k (based on experience) + commission — uncapped, performance-driven commissions per annual On Target Earnings (OTE)
• Our compensation plan creates a space for you to be in control of what you make. The base is a great start, but uncapped commission is accessible your entire career with us (your base and commission will increase as you grow with the company).
• Comprehensive Benefits Package
• 401k program with generous company match
• PTO
• Hybrid role based in Atlanta, GA with fully remote option for US-based candidates

About Commercient

Commercient helps growing companies streamline Sales, Marketing, and Customer Service by seamlessly connecting ERP and CRM systems through our AI-driven integration platform. Over 50,000 users rely on Commercient SYNC daily to automate key business processes—sales, billing, invoicing, and payments—across top CRMs like Salesforce, HubSpot, and Microsoft Dynamics. We’re an innovative, global SaaS company with 20+ years of experience and customers in 1,000+ organizations worldwide.

Why Work With Us

• Work remotely with a diverse, supportive, and fun global team
• Be part of an innovative company that embraces cutting-edge technology
• Enjoy learning and development opportunities to grow your career
• Flexible work-life balance and an environment where ideas thrive

Ready to join an innovative team building the world’s leading ERP–CRM integration platform? Apply today and grow your career with Commercient.

Job Title: Enterprise AI-Ready Data Architect / Senior Data Engineer

Duration : 6 Months

Location: East Hanover (Onsite: 3days & 2 days remote a week)

Job Description:

The Enterprise AI-Ready Data Architect / Senior Data Engineer is a hybrid role with a focus on enterprise data architecture, AI integration, and hands-on data engineering. You will design and implement AI-ready, analytics-ready data products and semantic layers (including ontologies) that enable scalable enterprise analytics and integration with AI agents and GenAI use cases. You will embed governance-by-design (quality, lineage, contracts, observability) and partner closely with business and technology stakeholders—in pharmaceutical domains.

Key Responsibilities

1) Enterprise Data Architecture (AI-Ready by Design)

• Define and deliver strategic enterprise data architectures that scale and support AI-ready outcomes.

• Design data workflows capturing as-is and to-be states for enterprise modernization.

• Establish architecture patterns for:

• Semantic Context Layer

• Data Warehouses, Data Lakehouses

• Data Catalogs and Data Marketplaces

• Event-driven and metadata-driven architectures

• Distributed data management (Data Mesh, Data Fabric, Domain-Driven Design)

• Streaming data management

2) Data Products, Semantic Products, and Master Data

• Design data products that are AI-ready and reusable across domains and use cases.

• Build and govern semantic models, metrics-first modeling, and ontologies (knowledge graph concepts).

• Deliver Master Data Management (MDM) capabilities and align master/reference data with business needs.

• Support structured and unstructured data management to enable broader AI and analytics capabilities.

3) AI Integration and GenAI Enablement

• Enable contextual intelligence and data enrichment using:

• Contextual retrieval, entity linking, enrichment using LLMs and embeddings

• Vector search, RAG pipelines, and LLM-based enrichment

• Implement graph-based approaches:

• RDF, OWL, and SPARQL querying

• Property graph / knowledge graph modeling for relationships and reasoning

4) Data Engineering Delivery

• Design and implement robust ETL/ELT pipelines and orchestration frameworks.

• Develop high-quality transformations and data modeling using:

• Advanced SQL

• Tools such as dbt, Airflow, Dataiku

• Ensure production-grade engineering practices for performance, reliability, and maintainability across pipelines.

5) Governance and Standards (Embedded)

• Implement open-source data standards across:

• Data contracts

• Data quality

• Data lineage

• Lead metadata-driven governance through metadata management, observability, and policy-aligned design.

Skills and Qualifications

Core Technical Skills

Advanced SQL proficiency

Data platforms and governance tooling experience (one or more):

Snowflake, Databricks, Collibra, Salesforce

ELT/ETL and orchestration:

dbt, Airflow, Dataiku

BI and reporting:

Power BI

Cloud platforms:

AWS, Azure, GCP

Modern architecture and data management:

Data Mesh, Data Fabric, streaming, metadata-driven architecture

Graph and semantic technologies:

Knowledge graphs, property graphs (Neo4J), RDF/OWL, SPARQL, graph query languages

Domain and Modeling Expertise

• Experience with data modeling techniques:

• Conceptual, logical, physical modeling—preferably for the pharmaceutical industry

• Semantic modeling, ontology design, and reusable metric layers

• MDM concepts and implementation approaches

AI and GenAI Enablement Skills

• Familiarity with GenAI technologies for enhancing analysis/reporting and data enrichment

• Experience with embeddings, vector search, RAG patterns, and entity resolution/linking concepts

Nice to Have

• Experience with Palantir platform

Recommended Certifications

• CDMP (DAMA)

• TOGAF

• EDM Council frameworks:

• DCAM, CDMC, Open Knowledge Graph, Data Ethics and Responsible AI

Qualifications

• 10+ years of experience in data architecture, process automation, implementation and large-scale data engineering, ideally in pharmaceutical

• Advanced technical engineering and hands-on experience in data modeling for OLAP, workflow automation, AI/ML integration

• ETL pipeline design and development

• Bachelor’s degree in computer science, information technology, engineering, or data science

• Strong problem-solving skills and attention to detail.

• Excellent communication skills with the ability to work with senior stakeholders to translate business requirements to technical data requirements

Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock.

We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7.

We are looking for a pragmatic Applied AI Engineer to join our engineering team.

The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data.

You will solve problems like:

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents)  from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

• Engineer the Integration: Writing production-grade code that interacts with external AI APIs
• "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval.
• Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand.

• Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. 
• Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with handling complex data structures.
• The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features.
• Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices.

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

• Working in a transparent environment which focuses on solving problems and getting things done.
• The opportunity to work with very smart and driven people.
• The ability to grow your talents and career in a high-growth sector.
• A remuneration package that is based on the candidate's motivation, skills, and experience.

Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable. 

Position Title: Applied AI Systems Engineer

Location: Orange County, California (Hybrid)

Reports To: Head of Operations

Position Summary

This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.

The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.

This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.

Core Objectives

• Build an internal AI platform that automates high-volume operational workflows
• Reduce manual processing time and administrative overhead
• Improve accuracy, speed, and decision visibility across departments
• Establish scalable systems that support portfolio growth without proportional staffing increases

Primary Responsibilities

• AI Platform Architecture & Development
• Design and deploy AI agents to automate operational and administrative workflows
• Build LLM-powered systems for document review, data extraction, and decision support
• Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
• Implement evaluation, monitoring, and continuous improvement frameworks

Lease & Document Intelligence Automation

• Build tools to extract key lease terms, obligations, and risk clauses
• Automates lease abstraction and document comparison workflows
• Develop compliance and deadline tracking systems
• Enable searchable knowledge retrieval across lease and legal documents

Leasing & Asset Management Automation

• Automate LOI comparison and deal workflow summaries
• Build dashboards summarizing tenant performance, lease milestones, and risk exposure
• Support market intelligence and tenant prospecting research
• Develop underwriting support and reporting tools

Property Management & Financial Workflow Automation

• Automate CAM reconciliation data processing and variance detection
• Streamline tenant reporting and communication workflows
• Track vendor contracts, compliance deadlines, and service obligations
• Extract and structure financial data from operational documents

Data Infrastructure & Knowledge Systems

• Structure internal documents and data for AI retrieval and automation
• Build document ingestion, indexing, and retrieval pipelines
• Implement vector search and knowledge retrieval systems
• Maintain data integrity, access control, and auditability

Systems Integration & Deployment

• Integrate AI tools with property management, accounting, CRM, and document platforms
• Deploy systems within secure cloud environments
• Implement logging, monitoring, performance, and cost controls
• Ensure reliability and scalability of deployed systems

Collaboration & Implementation

• Translate operational workflows into technical automation solutions
• Work directly with leadership to prioritize automation opportunities
• Train teams and implement adoption workflows
• Establish standards for responsible and secure AI usage

Required Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• Demonstrated success in a rigorous academic or research environment
• 3–7+ years building production software, automation systems, or applied AI solutions
• Strong Python development and API integration experience
• Experience working with structured and unstructured data
• Experience deploying systems in cloud environments
• Strong understanding of system architecture and data pipelines
• Exceptional analytical and problem-solving ability

Preferred Qualifications

• Experience building document intelligence or contract analysis systems
• Experience with retrieval systems and vector databases
• Experience automating financial or operational workflows
• Experience integrating AI into business operations environments
• Experience in real estate, finance, logistics, or operations-heavy industries
• Evidence of research, technical publications, competitive programming, or open-source contributions

Technical Environment (Representative)

• Python and API-based architectures
• LLM platforms and agent orchestration frameworks
• Cloud infrastructure (AWS, Azure, or GCP)
• SQL and vector databases
• Workflow orchestration and automation tools
• Version control, logging, and monitoring systems

Success Metrics

• Performance in this role will be evaluated by:
• Reduction in manual administrative workload
• Automation coverage across operational workflows
• Accuracy and reliability of AI-driven outputs
• Adoption and usage across departments
• Operational efficiency gains and cost reductions

Work Environment

• Hybrid work model with in-person collaboration in Orange County
• Direct collaboration with executive leadership and operational teams
• High autonomy in system architecture and implementation decisions

• Conduct patrols of the building on a regular basis.
• Respond to all security and safety related issues in a timely manner.
• Investigate incidents and compile information for official reports.
• Perform a variety of duties, often changing from one task to another of a different nature, without the loss of efficiency or composure.
• Use excellent customer service skills when interacting with guests, clients, and staff.
• Complete all assigned tasks within the guidelines and deadlines set by Security Managers and Supervisors.
• Comply with all legal and ethical instructions given by Event Security Managers and Supervisors.
• Have a basic understanding of the rule of law and the corresponding penal codes.
• Ability to memorize, recollect, and quickly relay relevant information when requested.
• Ability to interact effectively and calmly with angry or emotional guests and staff during intensely aggravated circumstances.
• Ability to effectively perform in crisis situations and work under pressure without the loss of composure.
• Ability to maintain guest, team member, and company confidentiality.
• Other duties as assigned.
  
  

• High school diploma or equivalent.
• A minimum of 1-2 years of related work experience.
• Ability to read, write, and communicate effectively in English.
• Applicants must have and maintain a valid California Guard Card, or Proprietary Security Officer Card, for the duration of employment.
• Employee must maintain a neat, well-groomed and professional appearance that conveys professionalism at all times, whether in the office or out of the office.
• Employee must represent Peacock Theater and/or Arena and the Security Department in an exemplary manner.
• Candidate must be available to work at least four (4) various event shifts per week, including afternoons, evenings, weekends, and holidays.
  • Must be available to work 1 day between Monday-Thursday.
  • Must be available all weekends (Friday-Sunday).
  • Shift start time by 6pm (weekends and double headers vary- earlier start time).
  • End time is at the end of the event (approximately 12am-Midnight).
    

• CPR / AED / First Aid training
  
  

The opportunity

Delaware North Sportservice is hiring seasonal Concessions Supervisors to join our team at KeyBank Center in Buffalo, New York. As a Concessions Supervisor, you will be responsible for leading team members to provide exceptional guest service. 

If you thrive on excitement and want your workday to fly by, apply now to join the game day action.

Pay

$20.00 - $20.00 / hour

Information on our comprehensive benefits package can be found at .

What we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Assign duties to scheduled team members and assist with training 
• Investigate and resolve complaints regarding food quality, service, or accommodations
• Manage labor and profit loss
• Ensure proper cash handling and tip record-keeping for the shift
• Assist guests, stock shelves, count inventory, and perform cashier duties when necessary

More about you

• Experience working in a restaurant is required
• Minimum of 2 years of supervisory experience preferred
• Must be able to implement rules and direct employees
• Ability to anticipate and fulfill guest needs while thriving in a fast-paced environment
• No college degree required

Physical requirements

• Constant standing, walking, bending, reaching, and repetitive motions 
• Ability to lift stock to 50 pounds occasionally 
• May be required to work outdoors or in variable temperatures, depending on the season 

Shift details

Events

Who we are

Delaware North operates concessions, clubs, and suites for the NHL's Buffalo Sabres at KeyBank Center and has been a partner of the Sabres since 1970, the year the team was founded. We manage concession outlets, suites, and clubs, including a members-only fine dining restaurant, at the 19,200-seat arena.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

The opportunity

Delaware North Sportservice is hiring a seasonal Club Supervisor to join our  1970  Club team at KeyBank Center in Buffalo, New York. As a Club Supervisor, you will be responsible for ensuring that all food service and hospitality operations are carried out efficiently while providing an exemplary guest experience.

If you thrive on excitement and want your workday to fly by, apply now to join the game day action.

Pay

$20.00 - $20.00 / hour

Information on our comprehensive benefits package can be found at .

What we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Oversee inventory and estimates of food and beverage costs
• Schedule all front-of-house club team members for events
• Assist with the hiring, training, and development of club team members
• Review financial information and monitor budgets to ensure efficient operations
• Inspect the 1970 Club, kitchen, and storage areas to ensure that health and safety regulations are adhered to

More about you

• Minimum of 2 years of previous hospitality and high-volume dining experience required
• Strong knowledge of food and wine
• Basic knowledge of cost control measures and profit and loss statements
• Ability to problem-solve and operate in a fast-paced environment
• Ability to work flexible hours, including nights and weekends
• No college degree required

Physical requirements

• Standing and walking for the entire length of the shift
• Ability to lift to 50 pounds

Shift details

Days
Evenings
Holidays
Weekends
Events

Who we are

Delaware North operates concessions, clubs, and suites for the NHL's Buffalo Sabres at KeyBank Center and has been a partner of the Sabres since 1970, the year the team was founded. We manage concession outlets, suites, and clubs, including a members-only fine dining restaurant, at the 19,200-seat arena.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

The opportunity

Delaware North Sportservice is hiring part-time Concessions Supervisors to join our team at TD Garden in Boston, Massachusetts. As a Concessions Supervisor, you will be responsible for leading team members to provide exceptional guest service. 

If you thrive on excitement and want your workday to fly by, apply now to join the game day action.

Pay

$20.00 - $25.00 / hour

Information on our comprehensive benefits package can be found at .

What we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Assign duties to scheduled team members and assist with training 
• Investigate and resolve complaints regarding food quality, service, or accommodations
• Manage labor and profit loss
• Ensure proper cash handling and tip record-keeping for the shift
• Assist guests, stock shelves, count inventory, and perform cashier duties when necessary

More about you

• Experience working in a restaurant is required
• Minimum of 2 years of supervisory experience preferred
• Must be able to implement rules and direct employees
• Ability to anticipate and fulfill guest needs while thriving in a fast-paced environment
• No college degree required

Physical requirements

• Constant standing, walking, bending, reaching, and repetitive motions 
• Ability to lift stock to 50 pounds occasionally 
• May be required to work outdoors or in variable temperatures, depending on the season 

Shift details

Events
Holidays
Days
Evenings
Weekends

Who we are

Delaware North purchased the historic Boston Garden in 1975 and later constructed its successor, TD Garden, and neighboring The Hub on Causeway, both of which we continue to own and operate. As New England’s largest sports and entertainment arena, TD Garden is the home of the storied NHL’s Boston Bruins and NBA’s Boston Celtics franchises and hosts over 200 events annually with over 3.5 million visitors.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

The opportunity

Delaware North Sportservice is hiring a full-time or part-time Kitchen Supervisor to join our team at Detroit Hockeytown Restaurant in Detroit, Michigan. If you are an experienced Cook who enjoys working in a fast-paced environment, taking pride in delivering quality service and food to guests, this may be the ticket to your new career! Apply now to join our collaborative team and transport guests to their next culinary experience.

Pay

$22.00 - $26.00 / hour

Information on our comprehensive benefits package can be found at .

What we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Create weekly dining room menus from personal or established recipes
• Supervise food prep, maintaining quality, presentation, and sanitation standards, while verifying portion sizes, quality standards, department rules, policies, and procedures are maintained
• Ensure all kitchen equipment is working efficiently, supervising team members with cleaning and food production in their areas, and maintaining cleanliness and organization of walk-ins and freezers, as well as supervising proper breakdown, rotation, labeling, dating, and storage of food
• Actively maintain food cost within parameters set by culinary leadership
• Perform opening, closing, and side work duties as instructed and according to proper guidelines

More about you

• Minimum two years' experience as a Line Cook, Lead Line Cook, or Kitchen Supervisor
• Ability to effectively communicate with others in a leadership capacity
• Attentive and detail-oriented with basic math skills to understand, calculate, and follow recipe measurements
• Capacity to work in a fast-paced environment
• No college degree required

Physical requirements

• Must be able to carry up to 50 lbs
• Standing, walking, bending for the duration of the shift, occasionally pushing and pulling to move equipment, mops, and brooms
• Manual dexterity sufficient to chop, mix, blend, and whip a variety of foods and liquids

Shift details

Days
Evenings
Holidays
Every weekend
Weekends only
8hr shift
12hr shift
10hr shift
Events
OT as needed

Who we are

Delaware North is the food, beverage, and retail provider at Little Caesars Arena. The 20,000-seat venue opened in 2017 and is home of the NHL's Detroit Red Wings and the NBA's Detroit Pistons. We provide a full accompaniment of services, including concessions and premium dining services in a variety of innovative club areas, loge boxes, and suites.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

B2B Sales Agent – Claw & Vending Machines (Soccer, Basketball & Rugby Venues)

Location: New York City

Compensation: Base salary ~$55,000+ performance-based commission (strong OTE of $110k+)

Type: Full-time

About Us:

We’re a fast-growing sports & gifting brand bringing “mystery shirt” magic into the real world – via claw machines and vending machines packed with surprise soccer, basketball and rugby jerseys.

We’re at the very start of this channel and our long-term ambition is to place 800+ claw and vending machines across the NYC metro, Northeast, and key US markets in high-footfall, sports-focused venues.

Once we’ve cracked the US East Coast model, the plan is to expand this rollout nationwide – turning it into a serious global revenue stream.

The Role:

Your mission is simple:

Get our claw and vending machines into great locations on a revenue-share model and turn those locations into long-term, high-performing accounts.

You’ll be responsible for the full sales cycle – from identifying target venues, to getting in front of decision-makers, to negotiating terms and overseeing successful installs.

This is a role for a closer with a track record, not a “starter”. If you know how to sell physical, space-taking products into venues (or similar), this will feel familiar – just more fun.

What You'll be Doing:

Sales & Business Development:

Build and manage a pipeline of target venues, including:

• Soccer stadiums and clubs (MLS teams, soccer-specific venues)
• Basketball arenas and sports centers (NBA, college basketball facilities)
• Rugby venues, sports bars and high-footfall leisure sites (arcades, attractions, student hubs, family venues, etc.)

• Research and map decision-makers (centre managers, commercial managers, tenant coordinators, operations, etc.) and get in front of them via outbound (cold email, calls, LinkedIn, in-person visits).
• Pitch our claw/vending machine concept and revenue-share model in a clear, commercial way that makes it a no-brainer for the venue.
• Create tailored proposals and negotiate commercial terms (revenue splits, minimum terms, placement, branding, etc.).
• Own the full sales cycle from first contact → proposal → negotiation → signed agreement → handover/installation.

Account Management & Expansion

Act as key point of contact for venue partners – check performance, resolve issues, and keep relationships warm.

Monitor machine performance by location, flag under-performance early, and propose solutions (relocation, offer tweaks, creative changes).

Identify upsell / expansion opportunities (more machines, better placements, additional venues in the same group).

Execution & Operations Coordination:

Work closely with operations to schedule machine installs, maintenance and replenishment.

Ensure all venue requirements (H&S, insurance, risk assessments, branding guidelines) are captured and communicated.

Feed back on what you’re seeing “on the ground” – what types of venues and positions work best, what objections are coming up, what offers resonate.

Reporting & Targets:

Own and report on a clear set of KPIs: machines placed, signed venues, average monthly revenue per machine, pipeline value, win rate.

Keep CRM / pipeline organised and up to date – no black holes, no mystery deals.

What We're Looking for:

Non-negotiable: proven track record.

We’re looking for someone who has already sold into venues / locations and can show it.

Must-haves

• 3+ years B2B sales experience with a strong new business focus (not just farming existing accounts).
• Proven success selling physical or location-based products or services, such as:
• Vending / amusement / arcade / gaming machines
• POS / kiosks / retail hardware
• Experiential / in-store activations
• Other space-taking installations into venues
• Confident negotiating commercial agreements and revenue-share models.
• Comfortable being out on the road, visiting sites, walking a venue and spotting where something would perform best.
• Strong communication skills – in-person, on the phone, and over email. You can explain the numbers clearly and get to a decision.
• Highly self-motivated and comfortable working in a fast-paced, entrepreneurial environment with clear targets.

Nice-to-haves

• Existing relationships with stadiums, soccer clubs, basketball arenas, rugby venues, shopping centres, or leisure groups.
• Experience working with landlords, asset managers, or centre managers.
• Interest in soccer, basketball, rugby and fan culture – you “get” the product and the audience.

What Success Looks Like in 12 Months

• A healthy, visible pipeline of targeted venues with clear next steps.
• A growing network of signed locations with machines installed and trading.
• Real, measurable monthly revenue from the machines – and a clear view of which types of locations perform best.
• A clear, data-backed rollout plan that makes scaling to hundreds of machines (800+ over time) across the US feel achievable, not hypothetical.
  

Why This Role is Exciting:

• You’re early in a new revenue channel – you get to shape how it works and help design the playbook that scales to 800+ machines.
• Clear line between your work and visible, tangible results (machines on-site, fans playing, revenue generated).
• Base salary plus meaningful commission upside – the more you place and the better the machines perform, the more you earn.
• Real scope to grow with the project – from NYC/Northeast rollout to nationwide and international expansion.

***Only W2 candidates accepted***

About the Company

For these specific roles, we are looking for engineers familiar with Cyber Threat Intelligence/Threat Hunting tools and procedures. Secondary skills in other areas listed below are highly desirable. We want team members who will take ownership of issues and drive them to resolution, not simply perform tasks as assigned. You will work with and act as a subject matter expert (SME) on at least one specialization within the Cyber Defense Operations domain. You will participate in investigations into security incidents and violations, and will thus be responsible for sensitive information relevant to employees, contractors, vendors, etc. of the company. As such, you will be expected to have the ability to pass a detailed background investigation, and maintain impeccable standards of confidentiality, morality, and ethics. You must have a passion for learning new technologies, not simply working with what you already know. You will be provided with the tools to produce your own career success, but are expected to have the ability to pass a detailed background investigation.

About the Role

Key player on a team responsible for all aspects of Cyber Defense within the company. Will be a SME in at least one area listed below and are expected to have full professional knowledge of security concepts and company objectives to resolve a wide range of issues in effective and sometimes creative ways, in all of the following domains.

Responsibilities

• Incident response (to include triage, playbooks, investigation, write-ups, escalations)
• Forensic analysis
• Malware analysis
• Protocol analysis
• Endpoint protection
• Data loss prevention
• Email security
• Cyber threat intelligence
• Threat research and creation of compensating controls
• Assist in developing and maintaining cyber security policies, standards, processes and workflows.
• Provide suggestions to team lead/manager in creating your professional development and training plan.
• Prioritize taskings and projects assigned based on importance to accomplishment of business objectives.
• Occasionally assist junior teammates with maintaining proper prioritization.
• Solve diverse and complex issues where analysis of situations and data requires in-depth evaluation of identifiable factors.
• Provide escalation support and technical guidance to teammates in areas where you are a SME.
• Work on projects assigned to you, in effort to advance partnership opportunities between Cyber Defense Operations (CDO) team and other business areas.
• Work with senior engineers to define cyber security requirements for current and future state end-to-end architectures and platforms to advance security controls and the security posture of the business.
• Assist senior engineers in collaborating with development and engineering teams to prioritize security risks, provide mitigation or remediation recommendations, and implement compensating controls.
• Perform risk quantification and third-party risk management reviews as required.
• Perform cyber security platform testing, and work with other teams to ensure vulnerability remediation and operating system hardening to reduce attack surface.
• Assist in performing proof-of-concept testing for cyber defense solutions under consideration for purchase and implementation.
• Work with senior engineers in identifying cyber security products and technologies that can enhance the company’s mission by providing appropriate protection for all data in our environment, or sent or received to/from various public or private clouds, or the Internet at large.
• Consistently demonstrate the company Leadership Principles for Cyber Defense Operations team.

Qualifications

• Bachelor’s degree in related field
• 5 years of related experience with Bachelor’s, 3 years with Master’s

Required Skills

• Experience with at least one major SOAR and one major SIEM product
• Familiarity with operation of other security devices (firewall, proxy server, VPN, IPS, etc.)
• Advanced knowledge of TCP/IP protocols
• At least one entry-level vendor-neutral certification in the Information Security arena or equivalent experience

Preferred Skills

• Master’s or equivalent experience
• At least one non-entry-level vendor-neutral certification in the Information Security arena (CISSP, CISM, GISP, etc.) or equivalent experience