Data Scientist (GTM Growth Products)

TL;DR

Data Scientist (GTM Growth Products): Building and optimizing internal revenue systems to scale GTM operations using AI-native workflows with an accent on measurement frameworks and agentic sales. Focus on designing causal inference experiments, defining north-star metrics for automation, and translating behavioral signals into product decisions.

Location: San Francisco

Company

An AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Define north-star, leading, and guardrail metrics for agentic revenue systems, including ARR, pipeline, and conversion lift.
• Design measurement and experimentation frameworks using holdouts, staged rollouts, and quasi-experimental methods.
• Partner with PMs and engineers to instrument, evaluate, and monitor launches to ensure observability of incremental value.
• Translate behavioral and model-driven signals into decisions regarding automation, routing, and human intervention.
• Develop dashboards and evaluation systems to identify where automation creates leverage and where workflow design needs improvement.
• Collaborate across GTM Growth, RevOps, Data, and Sales teams to connect product changes to business outcomes.

Requirements

• 10+ years in a quantitative role such as Data Science, Product Analytics, or Applied Statistics, ideally in B2B growth.
• Deep grounding in experimentation, causal inference, and applied statistics for real-world environments.
• Strong technical fluency in SQL and Python for extracting signal from messy operational data.
• Proven track record of translating analysis into shipped decisions regarding product, policy, or GTM strategy.
• Strong business judgment and ability to scope ambiguous problems and define success.
• Systems thinking maturity regarding AI agents, workflows, and feedback loops.

Nice to have

• Experience with LLMs, AI agents, or AI-assisted operations platforms.
• Background in RevOps, sales prospecting, or operational automation systems.
• Experience building attribution or observability frameworks from scratch in evolving environments.
• Familiarity with B2B, SMB, or marketplace-style GTM motions.

Culture & Benefits

• Commitment to an equal opportunity employer environment without discrimination.
• Opportunity to work at the forefront of AI research and deployment.
• Focus on creating AI tools with safety and human needs at the core.
• Inclusive culture valuing diverse perspectives and experiences.