ŌURA · 2 days ago
Staff Product Manager - Member Understanding & Intelligence
ŌURA is a company focused on empowering individuals to understand their health through innovative products. They are seeking a Staff Product Manager to drive strategy for member understanding and intelligence capabilities, working closely with product, engineering, and executive leadership.
Health Wellness & Fitness
Responsibilities
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
Qualification
Required
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 equivalent strategic scope
You have shipped ML-powered personalization or LLM features in production
Hands-on experience with prompt engineering, RAG architectures, and managing cost/performance tradeoffs of AI at scale
You understand constraints of shipping GenAI at scale, and lead technical roadmap discussions on model integration, experimentation infrastructure, and vendor selection
Experience shipping consumer-facing features at scale
You understand the 'Value > Effort' equation and can balance platform capabilities with member-facing experiences that feel rewarding, not burdensome
Ability to design data architectures and ontologies that scale across multiple use cases and teams
Comfortable working with concepts like ETL pipelines, data normalization, and interoperability standards
Benefits
Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave
Company
ŌURA
Oura is an award-winning, fast-growing startup that helps people get up close and personal with their health.
H1B Sponsorship
ŌURA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (6)
2023 (4)
2022 (3)
2021 (3)
Funding
Current Stage
Late StageRecent News
2024-05-13
2024-05-13
Company data provided by crunchbase