Data Scientist, Platform and B2B Products Job at OpenAI (San Francisco)

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...

Location

United States , San Francisco; New York City; Austin

Salary:

161500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders
Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
Familiar with CRM platforms (i.e., Salesforce)
6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
6+ years of experience working with Python or R for analytics or data science projects
6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences

Job Responsibility

Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices
Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.
Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight
Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products
Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Engineering Manager for B2B platform

Groupon is on a radical journey to transform our business with relentless pursui...

Location

Spain , Madrid; Valencia

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
2+ years leading teams (ideally in scale-up/start-up or high-growth environments)
Strong hands-on backend knowledge (TypeScript/Node.js, Java
Python for AI/ML are a plus)
Confident shipping modern web apps (React), distributed systems, and cloud infrastructure (GCP preferred)
Communicator & Builder—adept at translating business priorities into technical roadmaps, making the complex simple for diverse stakeholders
Builder’s Mindset: Comfortable with ambiguity, moving fast, iterating, and modernizing legacy systems

Job Responsibility

Build & Lead a high-performing, diverse team (5–6 engineers) across EMEA and India. Set a culture of ownership, technical excellence, and experimentation
Code & Mentor: Be a hands-on leader—actively developing alongside your team in TypeScript (Encore), Python (AI agents), and React
Architect the Future: Own the design and evolution of our AI-powered agent platform, incorporating RAG pipelines, vector stores, and robust evaluation frameworks. Shape migration from legacy Java services to modern, cloud-native solutions (GCP)
Modernize & Move Fast: Overhaul critical workflows, automate deal and merchant onboarding with AI, and deliver pragmatic improvements with business impact
Collaborate Globally: Work side-by-side with product managers, data scientists, UX, and senior engineering leaders to drive high-impact outcomes
Champion AI Innovation: Leverage and advocate for AI tools every day—in how you build, lead, and solve real business challenges

What we offer

Greenfield & Visible: Build on a new codebase, shape engineering culture, and make a measurable impact from day one
AI-First Company: Be part of a true transformation, leveraging AI in live, critical commerce workflows—not just R&D
Career Growth: Lead your own team, influence platform and tech direction, and help rebuild an iconic global business at scale
Modern Ways of Working: Remote-first options, flexible hours, high-trust and support from senior tech/product leadership
Candidate-First Process: Expect live, practical interview tasks where you’re encouraged to leverage AI tools—just like you would on the job

Engineering Manager for B2B Platform

Groupon is on a radical journey to transform our business with relentless pursui...

Location

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
2+ years leading teams (ideally in scale-up/start-up or high-growth environments)
Strong hands-on backend knowledge (TypeScript/Node.js, Java
Python for AI/ML are a plus)
Confident shipping modern web apps (React), distributed systems, and cloud infrastructure (GCP preferred)
Communicator & Builder—adept at translating business priorities into technical roadmaps, making the complex simple for diverse stakeholders
Builder’s Mindset: Comfortable with ambiguity, moving fast, iterating, and modernizing legacy systems

Job Responsibility

Build & Lead a high-performing, diverse team (5–6 engineers) across EMEA and India
Code & Mentor: Be a hands-on leader—actively developing alongside your team in TypeScript (Encore), Python (AI agents), and React
Architect the Future: Own the design and evolution of our AI-powered agent platform, incorporating RAG pipelines, vector stores, and robust evaluation frameworks
Modernize & Move Fast: Overhaul critical workflows, automate deal and merchant onboarding with AI, and deliver pragmatic improvements with business impact
Collaborate Globally: Work side-by-side with product managers, data scientists, UX, and senior engineering leaders to drive high-impact outcomes
Champion AI Innovation: Leverage and advocate for AI tools every day—in how you build, lead, and solve real business challenges

What we offer

Greenfield & Visible: Build on a new codebase, shape engineering culture, and make a measurable impact from day one
AI-First Company: Be part of a true transformation, leveraging AI in live, critical commerce workflows—not just R&D
Career Growth: Lead your own team, influence platform and tech direction, and help rebuild an iconic global business at scale
Modern Ways of Working: Remote-first options, flexible hours, high-trust and support from senior tech/product leadership

New

Product Manager - AI Systems

At Mod Op, we’re reimagining the future of marketing by fusing creativity, techn...

Location

Canada , Toronto

Salary:

85000.00 - 105000.00 CAD / Year

Mod Op

Expiration Date

Until further notice

Requirements

3+ years in product management or product-building roles (B2B, CRM, AI, automation environments)
Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable
Expertise in Agile/Scrum and iterative product delivery
Technical proficiency in product architecture and MVP development
Proven experience architecting data-driven platforms, or agentic platforms that integrate with APIs, and enterprise integrations
Experience defining KPIs, analyzing user feedback, and iterating products responsibly with awareness of security and compliance
Knowledge of AI agent orchestration, retrieval-augmented generation (RAG), and LLM-based automation pipelines
Skilled in workflow automation, data architecture, and platform scalability principles
Familiarity with AI prototyping tools (Cursor, Claude Code) and design collaboration platforms (Figma, GitHub)
Proven ability to manage cross-functional teams drive strategic vision

Job Responsibility

AI Strategy: collaborate with Senior Product Manager to develop go-to-market strategy, plan and execute the GTM launch strategy. (positioning, pricing and messaging)
Maintain a dynamic product roadmap that supports modular innovation, enabling combinations of agents to power bespoke client solutions
Collaborate with clients and internal stakeholders to co-create new ways of working—where AI augments human creativity and decision-making to deliver differentiated value
Product Design & Development: Use deep understanding of CRM, marketing automation, and data platforms to design productized innovations that automate workflows and improve access to data and insights
Build and prioritize products and complex product roadmaps, setting priorities and delivering on-time solutions
Translate strategic concepts into actionable product experiences and MVPs
Technical Collaboration & Architecture: Collaborate with IT, data engineers, architects, and data scientists to design solutions within scalable and secure environments
Partner with engineering, design, and data science to ensure solutions are scalable, secure, and aligned with business outcomes
Develop frameworks for agent evaluation and observability, ensuring quality, accuracy, and compliance across multi-agent interactions
Process & Data-Driven Decision Making: Collaborate with product owners, business leaders, and clients to baseline processes and workflows through marketing technology stacks

What we offer

Flexible, hybrid work arrangements
Annual company shutdown during the holiday season
Frequent studio-wide social events
Budget and time allotted for professional development
Commitment to wellbeing and work life balance
Competitive health and dental benefits package
Group RRSP Matching program

Fulltime

Senior Product Manager - AI Systems

At Mod Op, we’re reimagining the future of marketing by fusing creativity, techn...

Location

Canada , Toronto

Salary:

110000.00 - 130000.00 USD / Year

Mod Op

Expiration Date

Until further notice

Requirements

5+ years in GTM product management or product-building roles (B2B, Ecommerce, SaaS, AI, automation environments)
Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable
Expertise in Agile/Scrum and iterative product delivery
Technical proficiency in product architecture and MVP development
Proven experience architecting data-driven platforms, or agentic platforms that integrate with APIs, and enterprise integrations
Experience defining KPIs, analyzing user feedback, and iterating products responsibly with awareness of security and compliance
Knowledge of AI agent orchestration, retrieval-augmented generation (RAG), and LLM-based automation pipelines
Skilled in workflow automation, data architecture, and platform scalability principles
Familiarity with AI prototyping tools (Cursor, Claude Code) and design collaboration platforms (Figma, GitHub)
Proven ability to manage cross-functional teams drive strategic vision

Job Responsibility

Set the vision and roadmap for Mod Op’s AI agent architecture—defining how individual and networked agents automate and augment workflows across creative, strategy, media, and analytics
Develop go-to-market strategy, plan and execute the GTM launch strategy. (positioning, pricing and messaging)
Maintain a dynamic product roadmap that supports modular innovation, enabling combinations of agents to power bespoke client solutions
Collaborate with clients and internal stakeholders to co-create new ways of working—where AI augments human creativity and decision-making to deliver differentiated value
Use deep understanding of CRM, marketing automation, and data platforms to design productized innovations that automate workflows and improve access to data and insights
Build and prioritize products and complex product roadmaps, setting priorities and delivering on-time solutions
Translate strategic concepts into actionable product experiences and MVPs
Collaborate with IT, data engineers, architects, and data scientists to design solutions within scalable and secure environments
Partner with engineering, design, and data science to ensure solutions are scalable, secure, and aligned with business outcomes
Develop frameworks for agent evaluation and observability, ensuring quality, accuracy, and compliance across multi-agent interactions

What we offer

Flexible, hybrid work arrangements
Annual company shutdown during the holiday season
Frequent studio-wide social events
Budget and time allotted for professional development
Commitment to wellbeing and work life balance
Competitive health and dental benefits package
Group RRSP Matching program

Fulltime

New

Product Manager, App Foundations

App Foundations owns the document and spreadsheet-like table surfaces where scie...

Location

United States , San Francisco

Salary:

212000.00 - 287000.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

5+ years of product management experience, strong preference for B2B SaaS, with ownership of platform surfaces, editors, APIs, or other data-heavy systems
Degree in a life sciences or bioengineering field (e.g., Bioengineering, Biology, Biochemistry, Computational Biology, or Chemistry), or equivalent hands-on experience working with experimental data and scientific documentation in lab or informatics environments
Experience supporting scientific or other high stakes data use cases, where data integrity is paramount
Strong understanding of tables as systems, including formulas, references, and edge cases, especially in scientific or analytical contexts
Ability to listen deeply, synthesize competing needs, and communicate tradeoffs effectively
Rigor in prioritization, with comfort saying no in service of leverage
Ability to partner closely with engineers on technical design decisions

Job Responsibility

Own the roadmap and execution for document and table-based data input surfaces, with an emphasis on safety and leverage
Define and improve the behavior of these surface areas, including formulas, computed fields, lookups, and dependency graphs
Improve developer productivity by making core surfaces lower risk to evolve, through clear contracts, better testability, and reduced coupling
Expand automation and AI-driven workflows by improving API-enabled capabilities
Partner closely with our Agents team to safely embed agents directly within document and table surface areas like entries and templates
Partner with Product Design to drive continuous improvements to the scientist experience through user research, usability testing, and iterative refinement of user flows that reduce friction in data capture without sacrificing data integrity or compliance
Work closely with scientists, internal product teams, and engineers to deeply understand and support scientific table and documentation needs
Say no to low-impact or bespoke asks in favor of reusable platform capabilities and long-term platform health

What we offer

Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation
Company-wide Winter holiday shutdown

Fulltime

New

Product Manager, Automation

We are seeking a visionary Product Manager to lead Benchling's automation and da...

Location

United States , San Francisco

Salary:

182000.00 - 247000.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

5+ years of product management or relevant automation industry experience, preferably in B2B SaaS, with a focus on workflow automation and data orchestration platforms
Strong technical background, including deep understanding of APIs, data pipelines, ETL workflows, and software engineering principles
Experience building low-code/no-code platforms or workflow automation tools, with the ability to balance simplicity for non-technical users with extensibility for technical users
Demonstrated ability to lead complex, platform-level products that serve multiple customer personas (e.g. scientists, automation engineers, IT administrators)
Proven track record of developing and launching successful products, from ideation through implementation
Excellent technical communication skills, with the ability to collaborate effectively with engineers, architects, and other technical stakeholders
Comfort with ambiguity and strategic thinking, with the ability to balance long-term platform vision with near-term customer needs
Excellent communication and collaboration skills, with the ability to work effectively across different teams and stakeholders
Experience with Agile/Scrum methodologies, with the ability to adapt quickly in a fast-paced, evolving environment

Job Responsibility

Define and drive the product vision and strategy for Benchling's automation and data orchestration platform, including Pipelines (backend platform) and Automation Designer (customer UX) capabilities
Enable automation that orchestrates end-to-end scientific workflows—from instrument and automated workcell data capture through analysis, Benchling actions, and cross-system integrations
Work closely with engineering teams to prioritize, develop, and launch product features that align with the company's goals and user needs
Collaborate with UX/UI designers to ensure the Automation Designer provides a flexible, intuitive interface that enables customers to create complex, multi-step data automation workflows through a visual, low-code/no-code environment
Foster a culture of innovation, encouraging team creativity and problem-solving to address the complex needs of our users
Conduct thorough market research and user feedback sessions to understand the needs and challenges faced by end users, translating these insights into product features
Define KPIs and success metrics for automation adoption, workflow reliability, and the product's impact on enhancing scientific research and decision-making processes
Collaborate cross-functionally with Platform, Infrastructure, and Application teams to ensure automation capabilities are scalable, reliable, performant, and seamlessly integrated into the broader Benchling platform, delivering unified customer experiences that support enterprise workloads and complex requirements
Drive the strategic evolution toward agentic AI and DBTL (design-build-test-learn) workflows while partnering closely with AI & Analytics teams to embed intelligent automation, experiment optimization, and lab-in-the-loop learning into scientific workflow orchestration
Partner with customer-facing teams (Sales Consulting, Professional Services, Customer Success) to identify high-value automation use cases, build reference implementations, and drive adoption

What we offer

Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation

Fulltime

New

Senior/Staff Data Scientist, Infrastructure

Glean is building a world-class data organization spanning data science, applied...

Location

United States , San Francisco Bay Area

Salary:

175000.00 - 250000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

7+ years of experience in a highly quantitative data science role
Degree in Statistics, Mathematics, Computer Science, or a related field
Strong proficiency in SQL and Python
Experience working with modern data stacks (e.g., dbt, analytics engineering pipelines)
Experience analyzing nascent, complex datasets and translating them into clear, actionable insights
A strong product and business mindset, with experience defining KPIs, guardrail metrics, and dashboards that influence decisions
Solid grounding in statistics, including experimentation and non-experimental methods
Ability to independently own projects end-to-end, from problem framing to delivery
Clear, concise communication skills, with the ability to explain complex analyses to both technical and non-technical audience

Job Responsibility

Become a deep expert in Glean’s product telemetry, billing data, and platform systems, partnering closely with Product, Finance, and Infrastructure to self-serve insights
Develop and evolve metrics that capture enterprise readiness, deployment health, and time-to-value, from initial rollout to sustained adoption
Drive deployment and infrastructure cost optimization by analyzing usage patterns, workload drivers, and scaling behavior across customers
Partner with platform and infrastructure teams to model and optimize the economics of core systems such as connectors, indexing, and knowledge graph infrastructure, ensuring margins scale sustainably with usage growth
Support pricing, packaging, and monetization decisions through thoughtful analysis of usage, consumption, and cost drivers
Improve observability and data quality for billing and enterprise-critical workflows, identifying gaps and driving alignment across systems
Build analytics and models to support security and trust initiatives, including threat detection, abuse patterns, and monitoring for enterprise-critical products
Analyze and improve the cost efficiency of compute-intensive workflows (eg: mining and indexing), identifying trade-offs between product value, performance, and unit economics
Lead cross-functional data science projects end-to-end, translating ambiguous problems into clear, actionable insights

What we offer

Medical, Vision, and Dental coverage
Generous time-off policy
Opportunity to contribute to your 401k plan
Home office improvement stipend
Annual education and wellness stipends
Vibrant company culture through regular events
Healthy lunches daily

Fulltime

Data Scientist, Platform and B2B Products

OpenAI

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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