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 Platform Engineer (DevOps / MLOps) Senior Platform Engineer focused on building the backend and AI platform foundations for Oura's health intelligence experiences. The role emphasizes making AI-powered backend work safe to ship, easy to validate, and simple to debug in production by strengthening production harnesses, implementing quality gates, ensuring observability, and streamlining developer workflows. | Eval GateServe |
| 7 |
| Senior Data Scientist Senior Data Scientist at Oura, focusing on advancing physiological feature pipelines using wearable health data. The role involves transforming multi-sensor data into actionable health metrics, developing reusable data analytics tools, and contributing to strategic roadmaps. Requires expertise in Python, deep learning, multimodal data fusion for sequential data, forecasting, optimization, and deploying data science products on AWS using PyTorch. | Data | 7 |
| Algorithm Scientist Seeking an Algorithm Scientist to research, develop, and deploy signal processing and machine learning algorithms for health sensing features in Oura products. The role involves exploratory research, data collection studies, developing data analysis tools, and collaborating with cross-functional teams to improve biomarkers and algorithms based on wearable device data. | Data | 7 |
| Senior Product Manager, Health Intelligence The Senior/Staff Product Manager will define and ship the next generation of health intelligence experiences for Oura, focusing on integrating Generative AI and LLMs to transform how members interact with their health data. This role involves shaping the vision for Oura's intelligent health companion, owning outcomes across both member-facing features and platform capabilities, and leading end-to-end product initiatives. The ideal candidate has extensive experience in consumer tech or AI-first products, has shipped LLM features in production, possesses strong technical literacy in GenAI constraints, and can drive strategic planning and internal adoption of AI capabilities. | ShipAgent | 7 |