Senior Product Manager - Data Platform
Full-time Mid-Senior LevelJob Overview
- Own the platform roadmap: turn conflicting tasks from consuming teams into one prioritized set of shared capabilities.
Problem framing by digging into the original request, reproduce the pain point, and define the actual problem before handing it to engineering.
Design the parameterization model & platforms: which signals, weights, rules, and ranking strategies a consuming team can flexibility use and modify
Partner with engineering on the platform's technical foundations - API contracts, real-time serving latency and throughput, and feature pipelines that stay consistent between training and serving.
Ship the self-serve experimentation layer integrated to our platform - A/B tests, holdouts, guardrail metrics - so each team can measure the outcome it cares about, and arbitrate when two teams' configurations collide.
Define platform-level success metrics: adoption across departments, incremental lift delivered platform-wide, latency and reliability SLAs
Drive adoption hands-on: onboard each consuming team, scope its personalization needs.
Anticipate how the platform fails as usage grows - configuration drift, factors interacting across teams, cold start for new signals and consumers - and roadmap the guardrails and observability that catch it first.