Data Scientist, GTM Growth Products

OpenAI
San Francisco
Workplace: HybridFull timeUSD 293,000 - 325,000 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Communication","Collaboration","Problem-solving","Influencing","Stakeholder management"]

Data Scientist for the Marketing Innovation pod builds internal tools and agentic systems to transform how marketing and customer service are delivered. You’ll collaborate with Product and Engineering to design experiments, measure impact, and translate behavioral signals into scalable, shipped decisions that improve pipeline, targeting, and engagement for millions of SMB customers in a product-led, cross-functional environment.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
OpenAI
OpenAI
6 months ago

Data Scientist, GTM Growth Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Data Scientist for the Marketing Innovation pod builds internal tools and agentic systems to transform how marketing and customer service are delivered. You’ll collaborate with Product and Engineering to design experiments, measure impact, and translate behavioral signals into scalable, shipped decisions that improve pipeline, targeting, and engagement for millions of SMB customers in a product-led, cross-functional environment.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration
  • •Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed
  • •Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value
  • •Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments
  • •Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.

Pay and Benefits

Salary: USD 293,000 - 325,000 annually
Equity and Bonus:Equity

Key Requirements

  • •10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions
  • •Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments
  • •Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact
  • •Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing)
  • •Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy
  • •Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership
Experience:10+ yearsMarketingSaaSB2B
Skills:CommunicationCollaborationProblem-solvingInfluencingStakeholder management
Languages:English
Tech Stack:SQLPythonExperimentationCausal inference

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor