Lead Product Manager
New York City (Hybrid) Hybrid
$205,000–$235,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible. We're hiring a Lead Product Manager to help redefine what customer understanding looks like in an AI-native world. You'll own a meaningful product surface end-to-end, drive company-level bets, and operate as a senior voice in how Knit thinks about product strategy, AI craft, and customer value. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage. You'll partner closely with our Director of Product, CTO, CEO, on-staff PhD-level Researchers, and Engineering Leads. This is a force multiplier role in a senior-heavy team, and at this level, we expect your judgment and conviction to shape not just what you ship, but what Knit becomes. Success in this role is defined by sharper product decisions, stronger execution, and measurable customer and business impact on the surface you own.
What you'll bring
- 7+ years as a Product Manager, including meaningful time at a company known for strong product culture — where you learned what a great product org looks like from great leaders, and where you were trusted to operate with real autonomy.
- 0→1 experience.
- You've taken a product from zero to meaningful customer usage.
- AI-native fluency.
- You've shipped LLM-based features in production.
- You understand evals, hallucination management, latency/cost tradeoffs, and failure-mode design — even if you didn't write the eval code yourself.
- You use AI tools fluently in your own PM work to draft, prototype, research, and design.
- You have a real, developed point of view on how the PM role is changing in an AI-native world.
- Exceptional written and verbal communication.
- Clarity under compression is a baseline expectation.
- At this level, you're also helping set the standard for how the team communicates.
- Strong technical fluency.