Technical Product Manager

Epic Placements; New York (NY); On-site; USD 175,000 - 275,000; Full time

Benefits offered by this job

Equity

Five days onsite

Job summary

Epic Placements is recruiting a Technical Product Manager for an NYC-based, onsite role with a fast-growing AI company. You will identify opportunities where AI can transform workflows, deeply understand engineering needs, and define what to build next.

You may prototype with Claude Code, Codex, Cursor, and other AI agents to validate ideas. Ideal candidates have technical depth, enjoy solving problems without a prewritten roadmap, and can collaborate with engineers from concept to production

Qualifications

• 5–15 years of experience across product, engineering, founding, or similar technical roles.
• Experience building technical B2B software products.
• Meaningful 0?1 product ownership.
• Experience in a fast-moving startup or high-growth technology company.
• A history of working closely with strong engineering teams.

Responsibilities

• Identify, design, and ship systems that change how work happens across the company.
• Prototyping new products and workflows with AI coding tools.
• Working directly with engineers from idea through production.
• Evaluating how agents perform and where they break.
• Turning successful experiments into durable systems.
• Developing new ways for agents to access tools, data, and company systems.

Skills

Technical PM

B2B software

AI familiarity

Problem solving

Tools

Claude Code

Codex

Cursor

Job description

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 workflows
• Automating parts of the software development lifecycle
• Creating systems for company knowledge and context
• Building internal agent infrastructure and tooling
• Developing new ways for agents to access tools, data, and company systems
• Prototyping new products and workflows with AI coding tools
• Working directly with engineers from idea through production
• Evaluating how agents perform and where they break
• Finding high-value opportunities for automation across the business
• Turning 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.

• A founding or very early Product Manager
• A software engineer who moved into product
• A deeply technical PM at an AI company
• An early employee who has taken products from 0 to 1
• Someone who fully intends to start a company one day

You 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 roles
• Experience building technical B2B software products
• Meaningful 0?1 product ownership
• Experience in a fast-moving startup or high-growth technology company
• A history of working closely with strong engineering teams
• Excellent product judgment and prioritization
• Strong technical curiosity
• Comfort operating with very little structure
• Clear, concise communication
• First-principles thinking
• A 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.

Experience in any of these areas can be particularly useful:

• AI agents
• Infrastructure products
• Workflow automation
• Knowledge systems
• Human-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

Equity: Highly competitive

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."