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Staff

Staff Product Manager - Member Understanding & Intelligence

Confirmed live in the last 24 hours

Oura

Oura

Compensation

$169,150 - $233,000/year

Hybrid - San Francisco, California
Hybrid
Posted April 6, 2026

Job Description

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. 

We are looking for a Staff Product Manager - Member Understanding & Intelligence to join this team. This is a Staff-level individual contributor role with strategic ownership of member understanding and intelligence capabilities. You will drive strategy independently and be relied upon to make high-impact decisions with minimal oversight.

You will work closely with product, engineering, and executive leadership on the strategy for Oura's personalization platform, and you will often be the person connecting company-level goals to concrete roadmaps.

We're building the member understanding and intelligence layer that powers Oura's evolution from tracking device to personalized health companion. This role will lead our US-based AI/ML capabilities, driving strategy for how we use member context to deliver truly personalized experiences. 

You'll ship personalization features, run experiments to validate what works, and build foundational capabilities that other product teams leverage.

What you will do:

  • Shape the vision and strategy for member understanding & intelligence: Define and evolve a product vision for how Oura understands members and serves members truly personalized experiences. Build conviction around which context types unlock the most member value and business impact, balancing platform capabilities with member-facing experiences.
  • Own outcomes across both platform and member experience layers: Drive a roadmap that balances robust platform capabilities (APIs, data models) with delightful member-facing features. Navigate the tension between building infrastructure that enables other teams and shipping features that prove member value.
  • Deeply understand our members and their health journeys: Partner with research, science, and data teams to understand which contextual factors actually drive personalization quality and health outcomes. Map end-to-end journeys, identify where generic guidance fails members, and prioritize the context types that matter most for our target ICPs and health outcomes.
  • Partner with senior and executive leaders: Structure clear narratives and options for high-impact decisions in a high-ambiguity environment. Connect work to company-level goals and use measurable outcomes to build trust and alignment across Oura. 
  • Drive internal adoption of capabilities: Work closely with other product teams to identify the highest-value integration points. Ensure the platform is well-documented, understood, and reliably supports their roadmaps.   
  • Measure impact and learn fast: Define success metrics, instrumentation needs, and experimentation plans for Context Engines. Build the A/B testing infrastructure that enables rapid iteration on personalization approaches. Use data and member feedback to validate which context types drive member value.

This is a US hybrid-remote role, with the expectation to work from our San Francisco offices a few times a month.Openness to flexible hours to support cross-time-zone collaboration with teams in Europe and the U.S - should be available for morning meetings 3+ days/week. 


REQUIREMENTS 

We would love to consider you for our role if you have: 

  • Product Experience: 7+ years of Product Management experience in data platform, ML, or consumer technology products, with a proven track record of shipping successful products at scale. At least 2 years at Staff/Principal level or
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