Source description
About the role
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