Requirements
- 8+ years of product management experience, including leading data-driven or ML-backed products from discovery through global rollout.
- led platform or shared-capability product work where driving alignment and adoption was key to success, not just shipping features
- strong technical fluency in experimentation design, A/B testing, causal inference concepts, ML fundamentals, recommender/personalization systems, and data infrastructure (feature stores, attribute systems, data pipelines, data governance).
- experience defining and governing shared data products or data layers - establishing standards and processes
- consistently connect product decisions to measurable business outcomes, with a track record of improving conversion, retention, churn, ARPU, and/or LTV.
- experience in subscription or e-commerce business models, including lifecycle optimization, offers, pricing, packaging, or marketplace dynamics.
- strong judgment in choosing the simplest effective solution, and you know when advanced ML or GenAI is worth the trade-offs. You resist over-engineering and insist on proving incremental value.
- build responsibly, considering fairness, bias mitigation, privacy, and localization — especially when personalization affects pricing, offers, or eligibility.
- lead with clarity and empathy, give and receive feedback well, and raise the bar through coaching and principled decision-making.
- influence without authority across engineering, data science, design, analytics, finance, and commercial stakeholders, and you’re skilled at aligning teams through ambiguity. You are experienced with resolving trade-offs between competing priorities.
Work Arrangement
Hybrid
Additional Information
- There will be some in-person meetings, but still allows for flexibility to work from home.
