Technical Product Manager

Technical Product Manager — AI Agents New York City | Onsite | $175K–$275K Base + Highly Competitive Equity What does a company look like when AI agents can actually do the work? Not assist with it. Not summarize it. Not make someone 10% more productive. Actually do it. Our client is a fast-growing, well-funded AI company building production agents that already handle meaningful, complex work in the real economy. Inside the company is a small, highly autonomous team with an even bigger mandate: Figure out what an AI-native company should look like — and build it. They've already shipped AI teammates that write and deploy code, systems that keep company knowledge current automatically, autonomous workflows, and agents that take entire pieces of work off people's plates. Now they're looking for a Technical Product Manager to help push that much further. This is not a normal PM job. And they're not looking for a normal PM. The Opportunity Imagine joining a small startup inside one of the fastest-growing AI companies in New York. You have resources. You have talented engineers. You have access across the organization. What you don't have is a predefined roadmap telling you what to build next. Your job is to find the places where AI can fundamentally change how the company operates — understand the work deeply, decide what should exist, and help build it. One month that might mean rethinking how software gets built. Another might mean creating an agent that completely owns an internal workflow. Another could involve designing infrastructure or interfaces that don't really have established patterns yet. You'll spend a lot of time asking: "If we were designing this company today, knowing what AI can do now, would we still do it this way?" And then you'll build the alternative. The Product Managers here build. You'll use tools like Claude Code, Codex, Cursor, and other AI coding agents to prototype ideas, test workflows, and get things working without waiting for someone else to build everything for you. You don't necessarily need to have spent your career as a software engineer. But you should be technical enough — and curious enough — that building something yourself feels exciting rather than intimidating. What You'll Work On You'll help identify, design, and ship systems that change how work happens across the company. That may include: Building AI agents that own complete workflowsAutomating parts of the software development lifecycleDesigning new human + agent operating modelsCreating systems for company knowledge and contextBuilding internal agent infrastructure and toolingDeveloping new ways for agents to access tools, data, and company systemsPrototyping new products and workflows with AI coding toolsWorking directly with engineers from idea through productionEvaluating how agents perform and where they breakFinding high-value opportunities for automation across the businessTurning successful experiments into durable systems The interesting part is that many of the patterns you'll need don't exist yet. You'll help invent them. Who Tends to Be Great Here There isn't one perfect resume. There is, however, a pretty recognizable type of person. You might be: A former founderA founding or very early Product ManagerA software engineer who moved into productA deeply technical PM at an AI companyAn early employee who has taken products from 0 to 1Someone who fully intends to start a company one dayYou probably enjoy getting dropped into problems where nobody has written the playbook yet. You're curious about more than your particular function. You want to understand how the product works, how the engineering works, how the business works, and why the company operates the way it does. And when something seems inefficient, your instinct isn't just to point it out. You want to build something better. What Our Client is Looking For We're less interested in checking every box than finding unusually strong builders, but the strongest candidates will typically bring: 5–15 years of experience across product, engineering, founding, or similar technical rolesExperience building technical B2B software productsMeaningful 0?1 product ownershipExperience in a fast-moving startup or high-growth technology companyA history of working closely with strong engineering teamsExcellent product judgment and prioritizationStrong technical curiosityComfort operating with very little structureClear, concise communicationFirst-principles thinkingA bias toward building and experimentation Former founders, founding PMs, and very early product hires are especially interesting. You Should Be AI-Native Plenty of people are interested in AI. We're looking for people who are already changing how they work because of it. Maybe you're constantly building with Claude Code. Maybe you've created your own workflows around Codex or Cursor. Maybe you're experimenting with agents outside of work simply because you want to understand what they can do. Maybe you've found yourself wondering what happens when these systems become another 10x better. You should have firsthand opinions about AI tools because you actually use them. You'll have the freedom — and resources — to push those tools hard here. Extra Interesting Backgrounds Experience in any of these areas can be particularly useful: AI agentsDeveloper toolsSoftware development infrastructureSDLC automationEnterprise AIData platformsInfrastructure productsWorkflow automationKnowledge systemsAgent evaluationHuman-in-the-loop systems For some projects, previous software engineering experience is especially valuable. For others, it matters much less than your ability to understand technical systems and build quickly with modern tools. This team is small, fast-moving, and unusually autonomous. That's the feature. Why This One Is Different There are a lot of companies adding AI to existing products. This team is asking a different question: If agents eventually become capable of doing significant portions of knowledge work themselves, how should companies actually be designed? They're getting the chance to answer that question inside a rapidly growing company, with real users, real workflows, talented engineers, and the resources to experiment aggressively. The goal isn't to build demos. It's to put agents into production and see how far they can go. If you're a former founder, future founder, deeply technical PM, or builder who happens to work in product, there aren't many roles quite like this. Compensation & Location Base Salary: $175,000–$275,000 Equity: Highly competitive Location: Flatiron, New York City Work Model: Five days onsite Visa: Select visa transfers may be supported This is intentionally an in-person environment built around a small group of people working closely together on difficult problems. The Bottom Line This is a role for someone who looks at where AI is headed and thinks: "I want to be one of the people figuring out what comes next." Not from a strategy deck. Not from the sidelines. By building it.