Product Engineer (Mountain View) - 17816

Location: Mountain View, CA (Hybrid) 
Type: Full-time
Compensation: Competitive salary + equity
Benefits: Health coverage, flexible work arrangements, high ownership

We are an applied AI research lab building the data and reinforcement learning environments that power how next-generation AI agents are trained and evaluated.

Our work has enabled state-of-the-art reasoning datasets, specialized frontier models, and multi-turn, tool-using agents trained via reinforcement learning. These systems are actively used by leading AI research organizations.

By focusing on data-centric AI and RL environment curation, we are building foundational infrastructure for the emerging agent ecosystem — and defining an entirely new product category in AI tooling.

We are hiring our first Product Engineer — a rare role that sits directly between frontier AI research and product engineering.

You will design and build the tools, interfaces, and infrastructure that make RL environment curation usable, intuitive, and powerful for researchers and engineers. This role is not just about shipping infrastructure — it’s about crafting developer and researcher experiences that turn complex workflows into something clear and enjoyable.

You bring the mindset of a builder and the taste of a product designer. You move fast from idea to prototype, but you also know when to slow down and harden systems for production. You care deeply about how software feels to use, not just whether it works.

Working directly with a small, senior team, you will shape the platform that environment engineers rely on to build, test, evaluate, and deploy training worlds for AI agents.

• Build intuitive dashboards for uploading, managing, and monitoring RL environments

• Design visualization tools that make complex metrics (environment quality, difficulty, training progress) clear and actionable

• Turn research workflows into polished, usable product experiences

• Own the full stack — from database schema and APIs to frontend polish

• Develop backend infrastructure for scalable hosting and evaluation of RL environments

• Design and implement APIs for programmatic interaction with the platform

• Work directly with AI researchers to deeply understand their workflows

• Translate ambiguous research needs into concrete product features

• Iterate quickly with users to validate ideas and improve usability

• Establish best practices for testing, CI/CD, deployment, and monitoring

• Scale systems gradually and thoughtfully as usage and complexity grow

• Ensure the platform remains reliable, extensible, and pleasant to work with

• 2+ years of full-stack development experience with strong engineering fundamentals

• Proficiency in Python and modern web frameworks

• Experience with cloud platforms (AWS or GCP) and distributed systems

• Solid understanding of CI/CD, automated testing, and production monitoring

• Ability to prototype quickly, then iterate toward production-quality systems

• Strong instincts for usability and developer experience, especially for technical users

• Comfort making product decisions with incomplete information

• Ability to prioritize what to build now vs. what to defer

• Experience designing systems that start simple and scale over time

• Enjoys working closely with users to understand pain points and validate solutions

• Clear communicator who enjoys tight feedback loops

• Comfortable working across research and engineering domains

• Thrives in small teams with high autonomy and responsibility

• Be the first Product Engineer defining an entirely new AI tooling platform

• Direct influence on how AI researchers build and evaluate agents

• High ownership, minimal process, real impact

• Work alongside senior researchers and engineers at the frontier of AI

• Competitive compensation and meaningful equity upside

• Location: Mountain View, CA (Hybrid) 

• Compensation: Competitive salary + equity (based on experience)

• Benefits: Health coverage, flexible work arrangements

We encourage you to apply even if you don’t meet every qualification. If you’re a strong builder with product taste and curiosity for AI systems, we’d love to talk.