Data Scientist, GTM Growth Products
OpenAIAbout the role
We are hiring a Data Scientist to support GTM Growth Products, a cross-functional team building the internal systems that turn OpenAI's technology into measurable revenue leverage.
Our mandate is to prove what an AI-native revenue organization can become: one where every signal, workflow, and customer moment can be understood, acted on, and improved by agents and humans together. We build systems that help GTM scale faster than headcount by finding opportunity, automating low-complexity work, routing judgment-heavy work to the right human, and learning from every outcome.
The team is focused on live GTM workflows across agentic sales, prospecting, routing, workflows, sales policy operations, measurement, attribution, and continuous learning loops.
In this role, you will be embedded with Product, Engineering, and GTM partners to ensure these systems drive measurable business outcomes: ARR, pipeline, conversion, automation, and operating efficiency.
What You’ll Do
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.
What We’re Looking For
10+ years in a quantitative role such as Data