PrincipalProductManager

## The Role You'll lead the product strategy for #paid's Data & ML organization, owning how data, signals, and ML-powered features drive measurable outcomes for brands and creators. You'll translate complex technical capabilities into user-facing product value while partnering closely with engineering, analytics, and business stakeholders to shape a defensible competitive advantage through AI-native, insight-driven capabilities. This is a net-new, foundational investment in our predictable performance roadmap and the Forge AI creator agent. ## Key Responsibilities Own the end-to-end product vision for the Data & ML squad, including the Forge AI creator agent and predictive performance infrastructure Translate complex ML/data capabilities into user-facing product value for both brands and creators Partner with Data Product Engineering leads to align data product strategy with OKRs and drive commercial outcomes (NDR, retention, contribution margin) Define the metrics layer: determine what we measure, how we surface insights, and connect metrics to business impact Identify and prioritize ML-powered bets (creator-brand match quality, content performance prediction, churn signals) and drive them from conception to launch ## To Be Successful, You'll Need Technical & Data Expertise 6+ years of product management experience, with 2–3 years working directly with data, ML, or analytics products Strong technical fluency with a prior engineering background (ex-engineer-turned-PM is the ideal archetype) Hands-on experience writing or reviewing SQL; comfort navigating modern data warehouses (BigQuery, Snowflake, or similar) Demonstrated track record shipping ML-adjacent features end-to-end (recommendations, ranking, prediction, scoring systems) Working experience with LLMs or AI-native product workflows (prompting, agent design, RAG pipelines, etc.) Product & Business Acumen Clear ability to translate model outputs and data insights into compelling product narratives for non-tech