Faros Ai
Product Manager, AI Native Initiatives
Redwood City, Remote. Posted 5 months ago
The role
You will own a surface area of a new AI-native product line. You will shape how engineers collaborate with agents and develop the intelligence and evaluation layer for agentic workflows.
What you will do
- Shape how engineers collaborate with agents
- Develop the intelligence and evaluation layer for agents
- Connect agentic workflows to engineering context
- Form hypotheses about market direction
- Collaborate with designers and engineers to build products
- Prototype ideas and experiment with new models and tools
- Talk to customers
- Analyze why agents succeed or fail
Required qualifications
- 6+ years in product management
- At least 2+ years building AI/ML or LLM-powered products
- Shipped at least one product or major feature from a blank page to real customers
- Previous experience as an engineer or deeply technical product work
- Ability to read code and discuss API design, system architecture, and prompt engineering
- Hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalents), embeddings, vector stores, tool use, prompt design, and evaluation
- Ability to prototype, write, and ship
- Ability to use modern AI tools to multiply output
- Ability to hold strong product convictions and push back on stakeholders
- Focus on customer satisfaction (CSAT), engagement, and converting design partners into deals
Nice to have
- Startup experience
- Domain experience in developer tools, engineering productivity, dev infrastructure, coding assistants, or agent platforms
- Shipped a product at a Series A or Series B startup
- Worked on products where humans and AI agents collaborate on the same work
- Experimented with modern AI-native tools (Cursor, Claude Code, Codex, Devin, v0, Replit Agent, or equivalents)
- Built and run eval frameworks for an agentic or LLM-powered product in production
- CS degree or equivalent engineering background
About the company
Faros is building the engineering intelligence platform for the AI era. The platform helps engineering organizations understand the impact of AI on software delivery and provides operational context for AI agents.