Product manager jobs in New York, NY

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 Senior Product Manager to help redefine what customer understanding looks like in an AI-native world. You'll help us find the right problems, shape the right bets, and partner with engineering, research, and GTM to ship work that 50+ Fortune 1000 brands depend on. We're expanding our product surface area rapidly, which means whoever owns a surface has unusual leverage over what Knit becomes. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage – the kind of partnership that shortens the distance between idea and production in ways most PMs haven't experienced. You'll partner closely with our Director of Product, CTO, CEO, on-staff PhD-level Researchers, and Engineering Leads. This is a high-ownership role on a senior-heavy team. We expect your instincts to sharpen what we build and your execution to move us faster. 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

• You don't need to have done this at scale before — but you need to be genuinely curious and building fluency fast.
• 4+ years as a Product Manager, including time at a company with a strong product culture where you were pushed to think rigorously about customers and tradeoffs.
• 0→1 experience.
• You've taken a product from zero to meaningful customer usage.
• Growing AI fluency.
• You've worked on or shipped features that involve AI or ML.
• You're curious about how LLMs work, you use AI tools actively in your own workflow, and you have a developing point of view on how the PM role is evolving in an AI-native world.
• Strong written and verbal communication.
• You can write a tight spec, run a crisp meeting, and bring people along clearly.
• Technical comfort.
• You can hold a real conversation with engineers about architecture and tradeoffs — you don't need to write the code, but you need to understand it.
• Ideally, in an early-stage environment (seed/Series A), where you didn't have a full supporting cast to lean on.

Benefits