Principal Product Manager

This is a fully remote position, open to applicants in New York.

📋 Description

• Take full ownership of the comprehensive product vision for the Data & ML team, which includes the Forge AI creator agent and the predictive performance infrastructure.

• Convert intricate ML/data functionalities into valuable user-facing products for both brands and creators.

• Collaborate with Data Product Engineering leaders to synchronize data product strategies with OKRs and drive commercial results (NDR, retention, contribution margin).

• Establish the metrics framework: define what we measure, how we present insights, and link metrics to business impact.

• Recognize and prioritize ML-driven opportunities (creator-brand match quality, content performance forecasting, churn indicators) and lead them from idea to execution.

⛳️ Requirements

• Over 6 years of experience in product management, including 2-3 years of direct involvement with data, ML, or analytics products.

• Strong technical fluency with a previous background in engineering (an ex-engineer transitioning to PM is the ideal candidate).

• Practical experience in writing or reviewing SQL; adept at navigating modern data warehouses (BigQuery, Snowflake, or similar).

• Proven history of delivering ML-related features from start to finish (recommendations, ranking, prediction, scoring systems).

• Familiarity with LLMs or AI-native product workflows (prompting, agent design, RAG pipelines, etc.).

• Ability to effectively communicate model outputs and data insights into engaging product narratives for non-technical stakeholders.

• Established experience managing roadmaps linked to commercial results (NDR, churn reduction, ARPU growth).

• Knowledge of creator economy dynamics, marketplace mechanics, or challenges associated with two-sided platform products is a significant advantage.

• Experience in developing internal data tools and dashboards that support operations and customer success teams.

• Inherently curious—someone who actively seeks insights within the data warehouse, not just when requested.

• Comfortable working in uncertain environments; you identify problems proactively rather than waiting for them to be presented.

• Capable of engaging on multiple levels: discussing technical depths with engineers while presenting strategic concepts to leadership.

• Quickly build trust with engineering teams; they desire collaboration rather than just management.

• A strong ownership mindset; excel in lean, founder-like environments.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional growth and development.

• Engaging team culture with regular team-building activities.