Senior Product Manager, Rider ML/AI

What you'll do

• Define and own the roadmap for applied ML and AI products across the Rider Application.
• Define and report on key metrics and KPIs directly responsible for the team's financial outcomes.
• Establish objective functions that balance short-term, long-term, and multi-stakeholder goals.
• Collaborate with data science to measure and predict the long-term value of Riders.
• Develop strategies for cold-starting new regions, modes, and features to drive adoption.
• Build a unified Rider profile by identifying and organizing data for ML and AI training.
• Write detailed product requirements and strategy documents for both technical and non-technical audiences.
• Design and analyze experiments to monitor model performance and evaluate improvements.

What we're looking for

• Experience driving technically complex machine learning products end-to-end from inception to launch with significant user adoption.
• Experience managing a team of software engineers from a product perspective using tools like Jira, Linear, or Spreadsheets.
• Experience with user-facing large-scale experimentation platforms and understanding concepts such as power and statistical significance.
• Experience using AI agents to accelerate day-to-day execution, including code understanding, data queries, and dashboard preparation.
• Knowledge of how machine learning and AI work, including packages like xgboost, catboost, lightgbm, scikit-learn, keras, and pytorch.
• Familiarity with crafting and leading presentations for CXO executive levels and large teams of 100+ people.
• Ability to review and provide critical product feedback on technical specifications written by engineers.
• Ability to operate independently and drive results in a flat, results-oriented organizational structure.