Oura
Consumer · Smart ring health wearable
Consumer · Smart ring health wearable
Currently tracking 8 active AI roles, up 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $147k–$267k (avg $196k).
Oura currently has 14 active job listings related to AI. The company is heavily focused on hiring for roles within the "agents" stage, which constitutes 43% of its active AI positions. Engineering is the most frequent function for these hires. Oura is primarily hiring in the United States and Finland. Frequent tech tags include llm_observability, model_serving, and agent_orchestration, suggesting a focus on deploying and managing AI agents. Over the last 30 days, Oura posted 4 new AI roles, representing a 20% decrease compared to the previous 30-day period.
Oura currently has 13 active AI-related roles in our index. The most common open titles are: Senior Algorithm Scientist (2), AI Fullstack Engineer, Health Intelligence, Core Platform Engineer, Data and Algo (All Levels), Director, Integration & Automation Engineering, Senior AI Engineer – Health Intelligence. Most positions are in Engineering and Research.
Oura's active AI hiring is concentrated in: agents (46%), data (31%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Oura is hiring AI talent in: United States (8 roles), Finland (4 roles).
Job postings at Oura most frequently mention: Machine Learning, Algorithms & Data Structures, System Design, Content Generation, Python.
In the past 30 days, Oura has posted 3 new AI-related roles. That is a -50% change versus the prior 30 days (6 → 3).
| Title | Stage | AI score |
|---|---|---|
| AI Fullstack Engineer, Health Intelligence Oura is seeking an AI Fullstack Engineer to build and operate AI-powered health guidance systems, integrating LLMs with personalization and evaluation pipelines. The role involves end-to-end ownership from problem framing to productionization, focusing on user-facing features and backend systems. | AgentEval Gate | 8 |
| Senior AI Engineer – Health Intelligence Senior AI Engineer focused on building and operating LLM-backed health guidance systems, integrating LLMs with personalization, owning evaluation and safety, and contributing to a multi-LLM platform for Oura's health intelligence team. | AgentEval Gate | 8 |
| AgentServe |
| 8 |
| Senior AI Scientist Senior AI Scientist role focused on building and deploying production-grade AI/ML pipelines, backend services, and agentic systems for Oura's AI Advisor. The role involves end-to-end ownership from problem definition to deployment and iteration, with a focus on custom AI solutions and evaluation tooling. It is an applied engineering role, not a pure research position. | AgentServe | 8 |
| Staff Product Manager - Member Understanding & Intelligence Staff Product Manager for Oura's Member Understanding & Intelligence team, focusing on AI/ML capabilities to drive personalization. The role involves shaping strategy, owning roadmaps for platform and member experience layers, understanding member needs, partnering with leadership, driving internal adoption, and measuring impact through experimentation. Requires experience shipping ML-powered personalization or LLM features, prompt engineering, RAG, and managing AI at scale. | AgentServe | 8 |
| Senior AI-Native Product Designer Senior AI-Native Product Designer responsible for architecting foundational systems for intelligent, context-aware experiences. This role involves designing agentic workflows, orchestrating probabilistic UX, bridging design and data science, functional AI prototyping, architecting generative systems, and championing calm intelligence. Requires proficiency in React/Typescript, experience with LLM APIs, and a portfolio demonstrating AI-driven interactions. | Agent | 7 |
| Staff Software Engineer, AI Operations Staff Software Engineer on a new, high-velocity, LLM-forward team focused on moving from data and insights to action and orchestration. The role involves architecting backend systems and web interfaces that bridge health data and user utility, building connective tissue for AI models to interact with external APIs and personalized data layers. Responsibilities include rapid prototyping, AI orchestration for LLM-based agents with tool-calling, full-stack ownership, AI-augmented engineering, and applied MLOps for RAG systems. | AgentServe | 7 |