Oura
Support Engineering AI & Tooling Specialist, Member Experience
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 8+ years
- Compensation
- fied in the future. Region 1: $143,650 - $169,000 Region 2: $130,050 - $153,000
- Posted
- 2026-02-23T14:55:14-05:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Benefits & Perks
ges Health, dental, vision insurance, and mental health resources An Oura Ri
Requirements
8+ years in Customer Experience Technology or AI tooling, with demonstrated ownership of tools or systems at scale
Proficiency in Python, SQL, and REST APIs; comfortable building lightweight automations and integrations without needing dedicated engineering support
Hands-on experience building or managing AI-based support workflows — including prompt engineering, knowledge base management, and performance evaluation
Experience defining and tracking AI tooling KPIs such as containment rate, deflection, and CSAT, and using data to drive continuous improvement
Strong cross-functional collaborator who can translate technical concepts for non-technical stakeholders and business needs for Engineering teams
Familiarity with enterprise support platforms (e.g.
Compensation & Benefits
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.
What we offer:
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
Responsibilities
Develop and optimize AI-assisted workflows such as chatbots, automated triage, response suggestions, and deflection flows
Build feedback loops that use QA data to identify issues, analyze root causes, and continuously improve AI workflows and member experience
Lead cross-functional AI and tooling initiatives with Member Experience and Customer Experience Technology teams, from discovery to rollout
Analyze member feedback to identify areas for improvement using our existing automation tool stack
Support Engineering Readiness
Incorporate machine learning, AI, and automation into the support workflow