Staff AI Engineer - Developer Productivity

About the role

Our mission at URA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office.

About the role

At URA, software engineering velocity directly dictates how quickly we can ship impactful health features, algorithms, and updates to millions of members. We are fundamentally transforming how our engineering teams build and deliver software by embedding agentic automation into our core engineering factory.

As a Staff AI Engineer in Developer Productivity, you will architect and own the systems that make agentic engineering the standard, highly dependable way hundreds of engineers ship code across mobile, backend, and web repositories.

Code generation is only one part of the equation. Your mission is to scale autonomous capabilities across the entire software development lifecycle, including specifications, test creation, automated code review, CI repair, and post-deploy signals. By accelerating feedback loops and removing delivery friction across all teams, your work directly translates into faster iteration cycles and higher-quality releases for URA members.

Key Responsibilities

• Set the Technical Direction: Architect, scale, and maintain URA's agentic pipeline infrastructure, focusing on orchestration, context management, tool calling, and cloud sandboxing.
• Close the SDLC Loop: Extend agentic workflows beyond initial code draft generation into spec quality verification, test creation, automated code review, CI failure triage, and release verification.
• Rapid Prototyping & Production Hardening: Fast-prototype new agentic workflows against real engineering challenges, then turn validated experiments into robust, production-grade platform tooling.
• Measurement & Evaluation: Design and operate evaluation harnesses, LLM-as-a-judge grading systems, tracing, and observability dashboards to measure pipeline health, defect reduction, and time-to-signal.
• Autonomy & Guardrails: Establish sandboxing, permissions, and human-in-the-loop checkpoints tailored to risk levels, ensuring privacy-by-design standards across sensitive domains.
• Drive Voluntary Adoption: Partner closely with cross-functional engineering squads and AI DRIs to eliminate workflow friction, resolve tooling blockers, and establish reusable paved paths, skills, and templates.

What We Are Looking For

• 8+ Years of Production Systems Experience: Proven track record of building and operating developer tooling, internal platforms, or production AI infrastructure at scale.
• Agentic Workflows in Production: Demonstrated experience designing, deploying, and measuring agentic coding workflows, autonomous execution loops, or background developer automation in real-world engineering environments.
• Systems-Level View of the SDLC: Ability to analyze specification, review, build, testing, CI/CD, and deployment as one interconnected system.
• Technical Leadership: Experience setting architectural vision, writing clear technical designs, and driving consensus across engineering teams without direct authority.
• Engineering Fundamentals: Strong foundational knowledge in distributed systems, concurrency, testing, and debugging, paired with fluency in at least one backend or mobile stack (such as Python, TypeScript, Kotlin, Swift, or Go).
• Verification & Security Focus: Disciplined approach to validating AI-generated outputs, combined with a privacy-first mindset when configuring agent privileges and handling sensitive data.

Nice to have

• Experience developing custom evaluation harnesses or benchmarks for coding agents.
• Direct experience with cloud sandboxed execution, ephemeral environments, or VM fleet orchestration.
• Familiarity with developer experience measurement frameworks (such as DORA or SPACE).
• Background working on mobile platforms or privacy-sensitive/regulated hardware products.

Benefits

At ura, we care about you and your well-being. Everyone here at ura 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 ura 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 ura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
• Region 1 $233,000 - $267,950
• Region 2 $212,000 - $243,800
• Region 3 $199,000 - $228,850

• A recruiter can determine your Region based on your US location.
• We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).