Product Manager, AI Native Initiatives

Faros • San Mateo, CA

1d • Hybrid

About The Position

AI is rewriting how software gets built. The tools, workflows, and team structures that defined engineering for the last two decades are being rebuilt for a world where agents handle the volume, and humans set the direction. Faros has been in the middle of this shift from day one, partnering with the largest engineering organizations on the planet as they absorb it. Our existing platform gives engineering leaders the visibility and context they need to run top-performing teams in an AI-first world. Now we are going a layer deeper. We are building a new product line that does not just measure AI engineering work, it does AI engineering work. A system where agents and humans work side by side to ship production-ready code, where humans stay meaningfully in the loop at every stage where they add value, and where outcomes are what get measured. This is the biggest bet we have placed as a company. We are looking for a Senior PM who wants to own a major piece of it end-to-end.

Requirements

• 6+ years in product management, ideally with at least 2+ years building AI/ML or LLM-powered products.
• Startup experience strongly preferred.
• You have shipped at least one product or major feature from a blank page to real customers, and you can tell that story in detail — including what you would do differently if you ran it back.
• You have been an engineer at some point in your career, or your product work has been deeply technical enough that engineers respect your architectural instincts.
• You can read the code, you have opinions on the system design, and you can make the tradeoffs without outsourcing them.
• Comfortable in technical conversations about API design, system architecture, and prompt engineering.
• Knowing how to play around with data and draw conclusions is a baseline requirement.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalents), embeddings, vector stores, tool use, prompt design, and evaluation.
• Not just current tool mastery, but persistence, curiosity, and vision.
• You experiment with AI tools in and outside of work, you do not give up when they fail, and you can articulate where this industry is heading in the next few years and how teams should operate in it.
• You do not want just to direct the work; you want to be in it. You prototype. You write. You ship. You dogfood aggressively and dig into the logs to understand why an agent failed. You use modern AI tools aggressively to multiply your own output.
• You hold strong product convictions and will push back on a Head of Product, a customer, or a head of engineering when you think they are wrong.
• You also take "you are wrong" with curiosity, not defensiveness or submission.
• You understand that great products drive business. You will be measured not just on shipping, but on customer satisfaction (CSAT), engagement, and our ability to convert design partners and prospects into successful, closed deals.
• You love solving puzzles. You are happier with a hard, ambiguous problem than a clean, well-scoped one. You poke at edges, ask uncomfortable questions, and would rather find problems yourself than have them find you. You get restless when the work gets too comfortable.

Nice To Haves

• Domain experience in developer tools, engineering productivity, dev infrastructure, coding assistants, or agent platforms.
• You have shipped a product at a Series A or Series B startup, not just in a large company.
• You have worked on products where humans and AI agents collaborate on the same work, and you have a point of view on what that should feel like.
• You have seriously experimented with modern AI-native tools (Cursor, Claude Code, Codex, Devin, v0, Replit Agent, or equivalents) and have opinions on where each of them wins and loses.
• You have built and run eval frameworks for an agentic or LLM-powered product in production — and have war stories about what broke when models changed under you.
• CS degree or equivalent engineering background.

Responsibilities

• Own a surface end-to-end. Define the wedge for your area, craft the requirements, bring them to life, ship the first version, and iterate to product–market fit. Success is measured in customer outcomes — usage, repeat engagement, CSAT, design-partner-to-paid conversion — not features shipped.
• Prototype and ship yourself. Modern AI tools have rewritten what a single PM can do. We expect you to take full advantage of it. Build clickable prototypes using the latest and greatest tools. Spin up a working agent in a notebook to test a hypothesis. Put working software in front of customers in days, not sprints. If you have not touched a codebase or a model API in years, this might not be the role for you.
• Make hard technical tradeoffs. Agentic systems force daily decisions across quality, latency, cost, reliability, and user trust. You will be in the room for those tradeoffs in your area, push back when something does not feel right, and be able to explain the call to your team, your customers, and our leadership team.
• Design for human-in-the-loop agentic systems. Every design decision has to account for where agents are strong, where they fail, what the Faros context brings to the table, and how humans stay meaningfully in the loop without becoming the bottleneck. You will have an opinion on what that should feel like, and the evidence to back it up.
• Run the eval and learning loop. What "good" looks like for an agent product is not obvious, and it changes as models change. You will help us define the evals, instrument the product, read the traces, and translate what you see into the next iteration.
• Partner across the PDE triad. Your design counterpart will co-own the experience. Your engineers will be your technical architecture collaborators. Your job is to make the product better than any one of you could on your own — and to be the person who makes the decision when consensus is not reachable.
• Work directly with customer teams. Your job will be to test your hypotheses, directly with our customers and partners, and iterate quickly to ensure they can feel the value. You will be in their rooms — sometimes literally — learning what customers actually need and translating it back into the product.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed