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AI Product Manager

Job in New York, New York County, New York, 10261, USA
Listing for: airSlate
Full Time position
Listed on 2026-08-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: New York

About air Slate

air Slate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products
- Sign Now
, pdf Filler
, Doc Hub
, altaFlow
, Instapage
, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.

We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States
, Poland
, Romania
, Ukraine
, and Philippines
.

At air Slate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.

About the team:

AI Labs is air Slate's bet on what comes after the toolbox era of software. No backlog rituals, no six-month roadmaps, no committees - small teams, weekly ship cycles, real users from day one. We build AI-native products for the businesses that actually run the economy: the contractor booking your kitchen remodel, the dentist scheduling your cleaning, the 10-person shop drowning in W-9s and PDFs nobody designed for them.

They've been stuck with decades-old software. We're here to change that, fast.

The opportunity:

For thirty years, software gave people toolboxes - edit this, sign that, file the other thing, one click at a time. AI lets us skip the toolbox entirely and hand people the outcome: taxes filed, contracts signed, staff onboarded, done. That's not an incremental upgrade. It's a chance to make our own products - and everyone else's - obsolete, fast. Whoever builds this first wins a category.

We want it to be us, and we want it to be you.

The role:

You’ll own an AI-native product end to end - not manage a backlog, not shepherd someone else's roadmap. You work closely with AI Labs' product leader, who sets the broad direction, but everything from 'who is this customer, really' to 'why is this metric moving' to 'ship it tonight' is yours. You’ll have a small team of engineers who are good, fast, and looking to you to make the next six months feel like an adventure instead of a slog.

What

you'll do:
  • Get obsessed with the customer. Talk to SMB owners, watch them work, mine the signal sitting in our millions of existing users - find the problem they actually have, not the one that's convenient for us.
  • Run on hypotheses, not opinions. Form a sharp bet, design the test, read the result honestly even when it stings, move.
  • Own the funnel and the money. Activation, conversion, retention, monetization - know the numbers cold and push them yourself.
  • Turn mess into a thing worth building. Insight is cheap; a sharp, buildable product decision is not.
  • Build alongside your engineers, not above them. Prototype with AI tools - v0, Cursor, Lovable, whatever's fastest - and fix your own interface instead of filing a ticket for it.
  • Ship in days, not quarters. Idea to something real in front of a user in about a week. Then do it again.
  • Bring the energy that makes people want to build with you. This is the job where 'it's just a job' gets you replaced.
Who you are:
  • ~3-5 years building software products and shipping V1s that real customers actually used - SMB experience is a strong plus.
  • Customer-obsessed by instinct, not by training - you start from their problem, not our roadmap.
  • AI-native. You use these tools every day, not just on slide decks, and you have sharp instincts for what they can and can't do yet.
  • You've run experiments that mattered - you can name the bet, the test, and what you learned when you were wrong.
  • Curious and genuinely unafraid to be wrong in public. Fast learners who chase the question outrun people who protect their ego.
  • A real nose for product - you can tell good from bad in five minutes, not five meetings.
  • Hands-on by default. Given the choice between a rough prototype and a strategy doc, you build the prototype.
  • Fluent in growth and monetization - funnels, conversion, pricing, the levers that actually move a business, not just a…
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