Oura Senior Director of Software Engineering to lead Women’s Health engineering at Oura, focusing on delivering high-impact consumer experiences. Responsible for shaping engineering strategy, organization, and implementing AI-native workflows.
Responsibilities
Lead and develop the Women’s Health software engineering organization through engineering managers, directors, and key technical leaders.
Partner with Product, Design, Science, Data Science, Clinical, and Regulatory leaders to turn member needs and product strategy into a coherent, high-quality roadmap.
Ship the highest-priority initiatives and ensure they make meaningful progress toward member outcomes—not only delivery milestones.
Build an organization that consistently ships excellent consumer software with measurable impact for members, by creating clarity across team ownership, architecture, dependencies, decision-making, and priorities.
Lead organizational transformation while maintaining delivery momentum and team health.
Set and consistently reinforce a high performance bar across Engineering and the broader Women’s Health organization, including outcomes, technical quality, execution, collaboration, and leadership.
Define and implement an AI-native approach to product development and software engineering, including practical use of AI and agents, quality guardrails, and measurable outcomes.
Build a strong leadership bench through hiring, coaching, feedback, talent development, and thoughtful succession planning.
Represent engineering in senior cross-functional planning and help Oura make sound trade-offs between speed, quality, trust, and long-term leverage.
This is a remote US role with a slight preference for candidates based in San Francisco, NY or Boston.
What you'll bring
10–15 years of experience in building software products, ideally 5+ years in leadership.
Qualification
Experience in Women’s HealthExperience with regulatedExperience with wearablesExperience leading distributed
Preferred
Experience in Women’s Health, reproductive health, menopause, postpartum, fertility, or adjacent health domains.
Experience with regulated, clinically adjacent, or high-trust consumer products.
Experience with wearables, connected devices, mobile products, or longitudinal health data.
Experience leading AI-enabled product development or AI-native engineering transformation.
Experience leading distributed, international, or cross-time-zone organizations.
