Job Description
📋 Description Define domain strategy/roadmap for ranking, recommendations, personalization. Identify and prioritize GenAI/ML opportunities; build a bets pipeline. Partner with ML Eng and data science to translate models into product decisions. Build experiments and measurement to improve relevance and engagement. Align Product, Engineering, Design on strategy and priorities. Contribute to broader AI/ML product strategy across Strava surfaces. 🎯 Requirements PM with ML-powered product shipping at scale (ranking, recommendations, personalization, search). Deep fluency in ML and GenAI; collaborate with engineers on models/evaluation/data pipelines. Own domain-level strategy end-to-end. Strong experimentation/measurement instincts; data-driven improvements. Ability to align/influence senior stakeholders without authority. Low-ego, partnership-oriented with tech/design partners. 🎁 Benefits Hybrid work model with more than half time on-site in SF office (3 days/week). Inclusive, equal-opportunity employer. Disability accommodation available on request. Benefits information linked in the job post.
