Product Engineer (Mountain View) 17816
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Job Location:
Mountain View, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Product Engineer AI Research Platforms
Location: Mountain View CA (Hybrid)
Type: Full-time
Compensation: Competitive salary equity
Benefits: Health coverage flexible work arrangements high ownership
About the Company (Confidential)
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.
The Role
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 its 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.
What Youll Do
Product & Experience Design
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
Full-Stack Engineering
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
Research Collaboration
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
Production & Platform Foundations
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
What Were Looking For
Technical Skills
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
Product & Builder Mindset
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
Collaboration
Clear communicator who enjoys tight feedback loops
Comfortable working across research and engineering domains
Thrives in small teams with high autonomy and responsibility
Why This Role
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
Logistics
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 dont meet every qualification. If youre a strong builder with product taste and curiosity for AI systems wed love to talk.
Required Experience:
IC
Key Skills
- APQP
- Six Sigma
- GD&T
- Root cause Analysis
- CAD
- Project Leadership
- SolidWorks
- Mechanical Engineering
- Quality Management
- Product Development
- Catia
- Manufacturing
About Company
Somewhere, formerly Support Shepherd. We find you amazing employees who cost 80% less than US equivalents, backed by our 6-month Perfect Hire Guarantee.
