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About , Inc.

, Inc. is a leading online gifting and experiential commerce company with a family of iconic brands including , Harry & David, Cheryl’s Cookies, , Things Remembered, and more. Our mission is to inspire more human expression, connection, and celebration—powered by innovative customer experiences and a seamlessly integrated technology ecosystem.

Key Responsibilities

Strategic Technology Leadership

• In conjunction with the Business and Product Management, define and execute a multi-year technology vision and roadmap spanning:
• Customer Care platforms (CCaaS (Contact Center as a Service), CRM, customer accommodations, digital engagement, WFM and analytics
• Develop and execute Enterprise Order Management integrations for exception handling
• Collaborating with Product Management to develop AI & Virtual agents’ strategy and execution
• Align technology investments to measurable business outcomes including:
• CSAT / NPS improvement
• Cost-to-serve reduction
• CSRs end-to-end productivity improvements
• Establish scalable, API-first, cloud-native architecture aligned to enterprise standards.

Technology Platform & Solution Ownership

• Ensure reliable, secure, compliant, and scalable technology platform to deliver operational capability across:
• Voice, chat, email, SMS, and digital service channels
• Integrated order capture and exception handling
• Work collaboratively within IT (and business) on integrations across ERP, WMS, TMS, Digital Commerce, Payments, real-time Inventory visibility and enterprise data platforms to drive a seamless customer and agent experience
• Collaborate on Customer Center strategy, design, reliability, and optimization:
• IVR, call routing, telephony platforms
• Order exception management workflows
• Self-service and agent assisted transactions
• Ensure peak-readiness and high availability (99.9%+ uptime) across all platforms.

Delivery & Modernization

• Lead large-scale technology transformation programs including:
• CCaaS implementation & migrations
• CRM modernization
• Workforce forecasting, planning and scheduling solutions
• Autonomous agents and customer experience improvements
• Implement agile engineering practices with outcome-based delivery.
• Establish architecture standards for technology selection, deployment, lifecycle management, and technical governance.
• Support modernization initiatives leveraging:
• Intelligent call routing and speech recognition
• Predictive inventory analytics
• Automated order exception handling

Innovation& Intelligent Automation (AI/ML, Agentic AI, Bots)

• Support adoption of AI, machine learning, and intelligent automation across customer care.
• Support implementation of Agentic AI and autonomous workflow agents to:
• Address and resolve WIMO calls
• Resolve order exceptions
• Automate refunds, replacements, and adjustments
• Proactively manage inventory imbalances
• Assist agents with real-time recommendations and next-best actions
• Collaborate and support conversational AI, chatbots, voice bots, and virtual assistants to increase containment, improve personalization, and reduce cost-to-serve.
• Deploy predictive analytics and ML models for:
• Call volume forecasting
• Order risk scoring
• Inventory demand sensing
• Backorder prevention
• Establish foresight metrics, alerts and early-warning dashboards to anticipate service spikes, fulfillment bottlenecks, delivery and inventory constraints before customer impact.
• Partner with Data & Analytics to operationalize semantic-layer-driven intelligence into customer[1]care systems.

Operational Excellence & Reliability

• Own production support, incident management, and platform stability.
• Reduce incident rates and Mean Time to Resolution (MTTR).
• Ensure resilience, disaster recovery readiness, and business continuity.
• Optimize system performance to handle seasonal and promotional peaks.

Data, Analytics & Automation

• Enable analytics layer to help business improve:
• Call containment
• Forecast accuracy
• Agent productivity
• Customer and Agent experience
• Cost-to-serve
• Establish KPI dashboards measuring both technical and business performance impact.

Leadership & Cross-Functional Collaboration

• Build and lead high-performing engineering, architecture, and operations teams.
• Partner closely with:
• Product Management and Customer Care Operations
• Supply Chain & Fulfillment
• Digital Commerce
• Finance & FP&A
• Security & Compliance
• Influence executive stakeholders and participate in steering committee governance.
• Ensure alignment with enterprise Intake Planning and capital prioritization processes.

Qualifications:

Experience

• 10+ years of progressive senior technology leadership and management of enterprise platforms experience (Sr. Director or VP level).
• eCommerce environments ($1B+ revenue).
• Experience managing global teams (including off-shore development centers) and large technology portfolios.

Technical Expertise

• Deep knowledge of:
• CCaaS platforms (e.g., Dynamics, Genesys, Five9, NICE, Kodex)
• CRM platforms (e.g., Salesforce, Dynamics, Zendesk, ServiceNow)
• Workforce Management Solutions
• IVR and call/chat routing & optimization
• Strong understanding of:
• Cloud-native architecture
• API and microservices design
• Event-driven integration patterns
• Enterprise security and compliance standards

Leadership Competencies

• Strategic thinker with firm grasp on innovation and emerging technologies.
• Clear communicator with strong business acumen.
• Proven ability to influence C-level executives.
• Strong vendor negotiation and ecosystem management skills.
• Data-driven decision-maker with measurable results orientation.
• Exceptional team player with proven servant leadership style.

Education

• Bachelor’s degree in Computer Science, Engineering, Information Technology is required.
• Advanced degree preferred

Job Description

Must Have Technical/Functional Skills

Technical Skills – Must Have

• Tricentis Tosca (Model-Based Automation)

• Test Automation Framework Design

• CI/CD integration (Jenkins, Azure DevOps, etc.)

Technical Skills – Good to Have

• SAP Testing (S/4HANA, ECC)

• API and Service Testing

• Performance and Non-functional testing exposure

Tool / Platform Exposure

Tricentis Tosca Suite, SAP, Web & API technologies, Test Management tools, DevOps pipelines, Cloud platforms (Azure/AWS).

Roles & Responsibilities

Lead and scale enterprise-wide test automation using Tricentis Tosca. Define automation strategy, standards, and reusable assets. Mentor automation engineers and enable delivery teams across multiple manufacturing and enterprise application programs.

The role is part of the central Quality Engineering COE supporting multiple client engagements. The architect will work closely with solutioning, presales, delivery, and client stakeholders to drive automation maturity.

Key Responsibilities

• Define and govern enterprise automation standards and best practices

• Design scalable Tosca automation frameworks and reusable assets

• Support, Mentor and coach automation engineers across delivery teams

• Support presales, solutioning, and automation strategy discussions

• Drive automation metrics, reporting, and continuous improvement

Generic Managerial Skills, If any

Strong communication and stakeholder management skills. Ability to mentor teams, influence automation adoption, and work across multiple programs.

Company Description 

Veranova is a global leader in the development and manufacturing of complex active pharmaceutical ingredients (APIs) for pharma and biotech customers. With deep technical expertise and impressive flexibility, we develop solutions and processes that support and accelerate innovation. We are looking for a Master Scheduler to join our dynamic team in New England. 

Job Summary 

We are seeking a Master Scheduler who thrives in high-complexity, fast-paced environments. This isn’t just a data entry role; you will be the "engine room" of our site operations, bridging the gap between long-term strategic planning and daily execution. You will play a pivotal role in evolving our Sales & Operations Planning (S&OP) process and leveraging technology to navigate the intricacies of contract manufacturing. 

Key Responsibilities / Accountabilities

• 
  
• Maintain the high-level site capacity and resource forecast within Saviom while simultaneously managing the granular, day-to-day production schedule in Microsoft Dynamics 365 (D365).
  
• Ensure alignment between R&D, Clinical, and Commercial timelines to maximize suite utilization and labor efficiency.
  
• Drive the site toward achieving "Ready to Execute" (RTE) milestones and maintaining high "Schedule Adherence" percentages.
  
• Lead the implementation of a fully integrated S&OP process, facilitating cross-functional meetings to align Finance, Business Development, and Operations.
  
• Evaluate the effectiveness of current scheduling tools. Identify opportunities for AI integration or advanced data analytics to improve predictive modeling and bottleneck identification.
  
• High emotional intelligence with the ability to translate technical constraints into business impacts for stakeholders.
  
• Aggregate and interpret complex datasets across multiple platforms to provide actionable insights for site leadership.
  
• Experience in a regulated environment (API/Biologics) and familiarity with platforms like Veeva is a significant plus.
  
• Ability to forecast 6–18 months out while managing the next 24 hours.
  
• Communication Bridge: Act as the primary point of contact for internal teams and external clients regarding timeline commitments and capacity constraints.
  
• Quality Integration: Author and manage quality events (Deviations, CAPAs, or Change Controls) within our QMS (Veeva Vault), ensuring that scheduling changes remain compliant with cGMP standards.
  
  • 
    
  • Other duties as assigned. 
    
  
  

Qualifications

• 
  
• CDMO Experience. You understand the unique "pivoting" required in a contract manufacturing environment where client needs and project scopes can shift rapidly.
  
• Advanced experience with Microsoft D365 and resource management software (like Saviom) is highly preferred.
  
• Ability to look at disparate data points and see the "big picture" of site capacity, helping the business navigate complexity with strategic foresight.
  
• Exceptional ability to resolve resource conflicts and timeline bottlenecks.
  
• 5–8 years of progressive experience in planning or engineering, ideally within pharmaceutical, biotech, or specialty chemical manufacturing.
  
• Strong leadership and interpersonal skills with the ability to influence without direct authority.
  
• Demonstrated ownership, accountability, and follow-through in complex, cross-functional environments.
  
• Excellent communication and presentation skills (written and verbal).
  
• Proficiency with ERP systems (SAP, Oracle, or Microsoft D365) and Microsoft Office Suite (Excel, PowerPoint, Word). Comfortable with/able to thrive in conditions of change and complexity.  
  
• Proven and strong project and change management capabilities. 
  
• Strong analytical and qualitative skills desirable. 
  

Pay Range: $80,000 - $95,000

Our Commitment:

• 
  
• Health & Wellness: Comprehensive health & Wellness benefits. Access to mental health resources and wellness programs. Generous PTO and holiday pay policies. 
  
• Financial Wellness: Veranova is committed to fair and transparent compensation practices. This includes a competitive base salary, eligibility for performance-based bonuses, and an attractive 401(k) Plan with company match. Salary ranges reflect the scope and expectations of the role, and are based on market data, internal equity, and role-specific factors. Final compensation may vary depending on experience, skills, education, and business needs.
  
• Professional Development: Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. Tuition Assistance for Undergraduate and Graduate degree programs.
  
• Inclusive Culture: At Veranova, an inclusive culture is integral to our values. We are committed to ensuring that everyone can bring their full self to work and thrive in their career.
  

How to Apply: 

At Veranova, we are on a mission to meet people that believe in our values and can contribute to the team in a variety of ways. Please visit   to view all open roles and join our Talent Community to stay connected and learn about opportunities as they arise. 

We value a range of experiences and perspectives. If you want to be part of improving and saving the lives of patients, we encourage you to apply regardless of whether you meet every qualification listed. 

Additional Information:

Applicants for this role must be authorized to work in the United States without further employer sponsorship.  

Agency and Search Firm Representatives: Veranova does not accept unsolicited resumes from agencies and/or search firms for this job posting. 

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

Veranova is an Equal Opportunity Employer. It is the policy of Veranova to provide equal employment access and opportunity to all persons regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity and/or expression, physical or mental disability, genetic information, citizenship, marital status, veteran status, or any other characteristic protected by federal, state, or local law.

All applications are carefully considered, and your details will be stored on our secure Application Management System. This is used throughout Veranova for the selection of suitable candidates for our vacancies as they arise. Veranova respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice.

About Us

We’re continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You’ll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure

Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

About the Role

We’re hiring for an AI Engineer. To be considered, you must have a deep expertise in a focus and some knowledge of the latter.

Requirements

• Deep specialization in one of these areas: Agentic AI (Claude Agent SDK, MCP Servers, Tool Use) + Node.js/TypeScript + AWS + RAG

• Strong understanding of modern practices and version control (Git)

• Ability to work collaboratively within a specialized team structure

• Passion for building production-ready, scalable systems

Nice to Have

• Experience working in team environments with separated responsibilities

• Understanding of production AI deployment

• Experience with Claude Code, MCP server development, or agentic AI frameworks

• Previous experience with healthcare or regulated industries

What You’ll Build

• Agentic AI systems: Autonomous agents using Claude Agent SDK, MCP servers, and tool use for domain-specific workflows, combined with RAG for knowledge retrieval via Bedrock

• Node.js API services: Production AI inference endpoints and services integrated into our existing Node.js/MongoDB platform + Voyage AI vector database management

• AWS AI services: Lambda-based inference, Bedrock integration

• Semantic search & MCP integrations: Knowledge extraction and contextual Q&A systems using S3 Vectors, Mongo DB Atlas and OpenSearch (hybrid search), exposed via MCP servers for agent consumption

Key Responsibilities

• Conduct exploratory data analysis to identify patterns in complex healthcare datasets

• Build agentic AI systems using Claude Agent SDK, MCP servers, and tool use, alongside RAG pipelines with AWS Bedrock and vector databases

• Manage vector databases: Mongo DB/S3 Vectors

• Develop document processing pipelines for text extraction and analysis

• Create production Node.js services for real-time AI inference, integrated with our MongoDB data layer

• Implement semantic search and knowledge extraction from document repositories

• Design Lambda-based inference systems on AWS

• Integrate LLMs via agentic frameworks (Claude Agent SDK, MCP) for domain-specific autonomous workflows and Q&A systems

• Develop ETL processes for external data sources and APIs

Required Qualifications

Candidates must meet all Core Qualifications.

Core Qualifications

• Node.js/TypeScript programming skills

• Git for version control

• Understanding of deployment and production systems

• Collaborative development workflows

AI/ML Development

• Experience building production AI services in Node.js/TypeScript

• 1+ years with AWS services (Lambda, Bedrock, S3, EC2) and agentic AI frameworks (Claude Agent SDK, MCP servers, tool use)

• RAG development experience with vector databases

• NLP/Document processing expertise (text extraction, classification, information retrieval)

Nice to Have

• Healthcare or regulated industry experience

• Experience with Claude Code and agentic development workflows

• Experience with Hugging Face transformers and LLMs

• MongoDB experience and familiarity with aggregation pipelines

• Time-series forecasting and anomaly detection

• Advanced statistical modeling (survival analysis, propensity scoring)

• Knowledge of data privacy and compliance frameworks

Technical Stack

AI/ML Development: Node.js/TypeScript, AWS (Bedrock, Lambda, S3, EC2), Agentic AI (Claude Agent SDK, MCP Servers, Tool Use, Claude Code), MongoDB, Vector Databases (S3 Vectors, OpenSearch), NLP libraries (sentence-transformers), Git

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:

Initial Screening Call

We’ll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.

Technical Challenge (issued on case by case basis)

You’ll receive a real-world technical challenge to complete within a specified timeframe. We encourage you to leverage all available resources—including AI tools, documentation, and libraries—just as you would in a production environment. This reflects how we actually work and allows you to showcase your problem-solving approach.

Technical Interview

We’ll have an in-depth discussion about your solution and explore related technical concepts. You should be prepared to walk through every aspect of your submission—explaining architectural decisions, code logic, trade-offs, and potential improvements. Whether you wrote the specific code section manually or generated it with AI assistance, you must demonstrate complete ownership and understanding of the entire codebase. This is a production-level assessment: we expect you to discuss, debug, and defend your work as if it were going live tomorrow.

We’re looking for engineers who can think critically, adapt their approach, and truly understand the systems they build—not just those who can generate code.

Ready to apply? We look forward to hearing from you!

MedLaunch is an equal opportunity employer committed to diversity and inclusion.

The Opportunity

The Institute of Simulation and Training (IST) at the University of Central Florida (UCF) is seeking applicants for a full-time, 12-month, non-tenure earning, digital asset and engineer-oriented, research position.This is a full-time Contract and Grants (C&G)-based faculty position to support ongoing federally sponsored research in a long-standing and agile R&D lab. For information about the Institute for Simulation and Training and the Orlando area, see .

We are searching for an Assistant In Digital Asset Research and Production Engineer with expertise in computer visualization, 3D modeling, and immersive technologies to support the design, development, and implementation of next-generation visual simulations and intelligent training systems. The successful candidate will join a multidisciplinary team conducting applied research in simulation-based training, modeling, and opportunity-based training systems.

This position requires an experienced researcher who will work both independently and as a team member to design, develop, modify, test, document, and maintain simulation software products.

Key Responsibilities

• 
  

• Design, develop, and implement 3D environments, frameworks, and prototypes for high-fidelity visual simulations and applications.

  
  

• Apply 3D models, advanced character mesh techniques, and physics-based simulation methods to enhance realism and interactivity in diverse domain systems and applications.

  
  

• Work with interdisciplinary teams including engineers, cognitive scientists, and domain experts to define research objectives, design experiments, and analyze results.

  
  

• Create prototypes and capabilities demonstrators to showcase IST's expertise aligned with trends and opportunities.

  
  

• Design and execute hands-on demonstrations and exhibits at strategic events.

  
  

• Perform data collection in the form of LiDAR, photogrammetry, and other advanced techniques to evolve advanced terrestrial-based synthetic environments.

  
  

Minimum Qualifications:

A master's degree from an accredited institution in a field related to modeling and simulation and two years of related professional experience or a bachelor's degree from an accredited institution in a field related to modeling and simulation and five years of related professional experience.

Significant experience or education required in at least three of the following areas:

• 
  

• 3D modeling tools such as Adobe Substance, Creator, Blender, or 3D Studio Max

  
  

• AutoDesk software systems

  
  

• Geospatial algorithms

  
  

• 3D game engine modeling formats

  
  

• Character and model rigging using modern game engine approaches (Unity, Unreal)

  
  

• Modern terrain generation software

  
  

Preferred Qualifications:

Experience or education is preferred in any of the following areas:

• 
  

• OpenFlight file format and visual database correlation.

  
  

• NIMA data processing

  
  

• Cartography

  
  

• 3D Model/Character creation for modern game engines.

  
  

• Digital twin creation

  
  

• Data acquisition through ground-based LiDAR-based systems such as Leica or Faro systems

  
  

• Intrinsic game engine API scripting capabilities such as C# and/or Python

  
  

• Familiarity with understanding of producing correlated geospecific terrain

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

• 
  

• A curriculum vitae.

  
  

• A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest.

  
  

NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed to: Dean Reed at .

Special Instructions to the Applicants:

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Position requires U.S citizenship for a University-sponsored application for a security clearance. This position is funded by contract and grant sources and is contingent upon available funding.

Job Close Date:

Open until filled.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

• 
  

• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.

  
  

• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.

  
  

• Retirement savings options.

  
  

• Employee discounts, including tickets to many Orlando attractions.

  
  

• Education assistance.

  
  

• Flexible work environment.

  
  

• And more...For more benefits information, view the UCF Employee Benefits Guideclick here.

  
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

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're looking for a Senior Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.

You'll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.

This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.

What you'll do:

• 
  
• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
  
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
  
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
  
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
  
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
  
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
  
• Improve system observability, reliability, and performance as contract volume and complexity scale
  
• Own backend services and data models related to contracts and billing
  
• Lead technical design discussions and make pragmatic architectural decisions
  
• Write clean, well-tested, and maintainable code with a strong focus on correctness
  
• Drive improvements in data consistency, validation, and error handling across contract workflows
  
• Review code and mentor other engineers, setting a high bar for backend quality
  
• Collaborate cross-functionally to support new deal structures and evolving business models
  

What we're looking for:

• 
  
• Experience with billing/contract mechanisms (specifically affiliate platforms)
  
• Bachelor's degree in computer science, a related field or equivalent experience
  
• Experience building large-scale full-stack products.
  
• Deep understanding of web development and best practices in React/Redux
  
• Strong experience with programming languages Javascript and Python/Java
  
• Strong software engineering principles and practices
  
• Strong collaboration and communication skills
  
• Nice-to-Haves:
  
  • 
    
  • Experience working closely with finance or accounting teams
    
  • Background in building audit-friendly or compliance-sensitive systems
    
  
  
  

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:

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.

Role Summary:

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .

Key Responsibilities:

Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.

Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.

State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.

Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the "Art of the Possible" and guiding long-term AI roadmaps.

Technical Requirements:

Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.

Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).

Advanced Data: Training data curation, synthetic data generation, RLHF concepts.

Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.

Soft Skills:

Executive communication and ability to influence C‑level leaders.

Thought leadership and industry presence (conferences, playbooks, forums).

Cross‑org leadership and conflict resolution.

Ability to define long‑term AI vision and cultural standards.

Strategic decision‑making balancing cost, risk, and performance.