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Staff Product Manager (AI/ML)

Strava · United States

External listingfull-timeabout 1 month ago

About The Role

Join Strava's AI/ML team as a Staff Product Manager. In this role, you will define the product vision for personalization across Strava's core experiences, partner with ML engineering and data science, and contribute to Strava's broader generative AI strategy. You will have a high degree of autonomy, set direction for a domain, and work across Product, Engineering, and Design to bring important initiatives to life.

  • Definir y ser responsable de la estrategia y la hoja de ruta para el ranking, las recomendaciones y la personalización en las experiencias de los atletas de Strava.
  • Identificar y priorizar oportunidades de productos de GenAI y ML de alto valor en la aplicación, y construir un pipeline de apuestas que se conecten a las prioridades a nivel de empresa.
  • Colaborar estrechamente con la ingeniería de ML y la ciencia de datos para traducir las capacidades del modelo, los criterios de evaluación y los compromisos técnicos en decisiones de producto claras y entregables.
  • Deep fluency in modern ML and generative AI — enough to engage substantively with engineers and data scientists on models, evaluation, and data pipelines, and to make sound product trade-offs
  • A track record of owning domain-level strategy end-to-end, not just executing within a defined roadmap
  • Substantial product management experience, including meaningful time shipping ML-powered products such as ranking, recommendations, personalization, search, or feeds at scale
  • A low-ego, partnership-oriented approach to working with technical and design partners
  • The ability to align and influence senior stakeholders across functions without authority, and to bring clarity to complex, ambiguous problem spaces
  • Experience productizing emerging or research-stage capabilities into reliable, user-facing features is a plus
  • Strong experimentation and measurement instincts, with demonstrated ability to use data to drive measurable improvements in relevance and engagement

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