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Product Data Scientist

San Francisco💼 Full-time🗓 2026-10-07

Core

Define product success metrics, design measurement plans, analyze experiments, and build reporting tools to drive product decisions for a developer AI inference platform.

Builds

Product success metrics, measurement plans, A/B experiment analysis, and self-serve reporting tools

Domain

AI Infrastructure / Developer Platforms / B2B SaaS

Deliverable

dashboards & analysis

Required skills

Product analytics, SQL, Python, Statistical judgment, Experimentation design, Time-series forecasting, Medallion data architecture, dbt, BI tools

Preferred skills

AI/ML infrastructure, Model serving, GPU systems, Usage-based pricing, Platform unit economics

Technologies

vLLM, SGLang, Dynamo, Sigma, Hex, dbt, ARIMA, Prophet

Responsibilities

Partner with Product and Engineering to frame questions and define success criteria; Define product success metrics across activation, adoption, retention, and reliability; Design measurement plans for launches and analyze A/B experiments; Map customer journeys and measure feature adoption; Evaluate releases by analyzing traffic shifts and incident outcomes; Analyze customer behavior and provide recommendations; Build source-of-truth reporting and self-serve tools.

Seniority

Senior, hands-on IC