Principal Product Manager

#paid is dedicated to empowering creators and connecting them with iconic brands through their innovative marketplace. The Principal Product Manager will lead the product strategy for the Data & ML organization, translating complex technical capabilities into user-facing product value and driving measurable outcomes for brands and creators.

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

Requirements:

• 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.)
• Clear ability to translate model outputs and data insights into compelling product narratives for non-technical stakeholders
• Proven experience owning roadmaps tied to commercial outcomes (NDR, churn reduction, ARPU growth)
• Familiarity with creator economy dynamics, marketplace mechanics, or two-sided platform product challenges is a strong plus
• Experience building internal data tools and dashboards that empower ops and customer success teams
• Deeply curious—the kind of person who explores the data warehouse for insights, not just on demand
• Comfortable with ambiguity; you define the problem before being handed one
• Can engage at multiple levels: hold technical depth conversations with engineers while presenting strategy to leadership
• Build trust with engineering teams quickly; they want to build with you, not just have you manage them
• High ownership mentality; thrive in lean, founder-adjacent environments