hashtagpaid - Principal Product Manager

• 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-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 • Mindset & Collaboration • 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