About the role

Senior Product Manager owning data and ML products for #paid’s creator-brand marketplace. Building predictive matching infrastructure, Forge AI foundations, and campaign automation.

Responsibilities

Own the product roadmap for the Data & ML squad, beginning with predictive performance infrastructure and creator–brand match quality
Use data and conversations with brands and creators to identify signals that drive brand retention
Turn ML and data capabilities into product value for brands and creators, while building reusable capabilities for products including Forge AI
Partner with Data Product Engineering leads to align data product strategy with company OKRs and commercial outcomes such as net dollar retention, retention, and contribution margin
Define north star, secondary, and counter metrics for products and features
Decide when to run experiments, design them, and analyze results with engineering and data partners
Balance brand and creator needs and explain tradeoffs
Sequence ML-powered features from predictions to recommendations to automated actions to build brand trust
Collaborate with design from project inception and make go/no-go and deprioritization decisions
Study competitors and market trends to identify opportunities and anticipate constraints
Clearly report results, learnings, and next steps

6+ years of product management experience, owning a product area end to end
Experience setting a north star metric, with secondary and counter metrics, and using it to make prioritization and go/no-go calls
History of owning roadmaps tied to commercial outcomes, such as NDR, churn reduction, or ARPU growth
Comfort with ambiguity: structuring problems, forming hypotheses, and finding evidence when data is thin
Experience balancing the needs of different user groups and working with design from the start
2+ years on data, ML, or analytics products, including shipping recommendations, ranking, prediction, or scoring features end to end
Technical fluency with data and ML engineers, including reading SQL and working in BigQuery or Snowflake
Ability to turn model outputs and data insights into clear narratives for non-technical stakeholders
Experience building platforms used by multiple internal teams is nice to have
Working experience with LLMs or AI-native product workflows, such as prompting, agent design, or retrieval-augmented generation, is nice to have
Familiarity with creator economy, marketplace, or two-sided platform challenges is nice to have
Experience building internal data tools for operations and customer success teams is nice to have