Data Scientist, GTM Growth Products at OpenAI | San Francisco, CA | $293K/yr – $325K/yr

OpenAI

Data Scientist, GTM Growth Products

San Francisco, CA (On-site)

$293K/yr – $325K/yrSenior Level10+ years expFull time

Posted 2 months ago

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Job Summary

Own the measurement and governance of AI driven revenue systems, turning experimentation and instrumentation into credible, incremental value for GTM.

Growth Infrastructure: Define and monitor agentic revenue metrics like ARR, pipeline, conversion lift, automation rate, and operating efficiency.
Experimentation Framework: Build Always-on experiments and staged rollouts where classic A/B tests don’t fit.
Cross-Functional Execution: Instrument launches with PMs and engineers, ensure observability, and translate signals into automated decisions and nextLearnings.

Job Description

Define north-star, leading, and guardrail metrics for agentic revenue systems, including agentic ARR, incremental pipeline, conversion lift, automation rate, response time, hours saved, and operating efficiency.
Design measurement and experimentation frameworks for always-on GTM systems, using holdouts, staged rollouts, quasi-experimental methods, and launch-specific decision criteria where traditional A/B testing is not enough.
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 messy account, person, product, behavioral, and model-driven signals into decisions about what to automate, what to route, where humans should intervene, and what the system should learn next.
Build repeatable decision loops from pre-launch criteria to post-launch readout to shipped product, policy, or operational changes.
Develop dashboards, readouts, and evaluation systems that help GTM leaders, DS, PM, and engineering teams understand where automation is creating leverage and where quality, policy, or workflow design needs to improve.
Work across GTM Growth, RevOps, Data, Sales, and partnered Engineering teams to connect product changes to business outcomes.

10+ years in a quantitative role such as Data Science, Product Analytics, Decision Science, or Applied Statistics, ideally at a product-led company supporting B2B growth, revenue systems, sales, lifecycle, 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 operational and behavioral data to extract signal and quantify impact.
Proven track record translating analysis into shipped decisions, not just readouts: changes to product, routing, targeting, automation, policy, workflow design, or GTM strategy.
Strong business judgment and a bias toward action. You can scope ambiguous problems, define success, choose the highest-leverage measurement path, and move quickly from insight to decision.
Systems thinking and technical maturity. You can reason about agents, workflows, instrumentation, data quality, human review, feedback loops, and operational constraints together.
Excellent communication and cross-functional partnership. You can influence PMs, engineers, GTM operators, DS peers, and senior leaders with clear recommendations and practical tradeoffs.

Experience with LLMs, AI agents, agent evaluation, or AI-assisted operations platforms.
Experience with sales, prospecting, RevOps, lifecycle, support, routing, prioritization, or operational automation systems.
Experience building measurement, experimentation, observability, or attribution frameworks from scratch in early-stage or rapidly evolving environments.
Familiarity with B2B, SMB, SDR, sales-assist, or marketplace-style GTM motions.

OpenAI

4.4 Glassdoor

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Founded in 2015

San Francisco, California, USA

9.9K employees (629 in marketing)

openai.com

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