Senior Product Manager

Knit•New York, NY

8h•Hybrid

About The Position

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 force multiplier role in a senior-heavy team. We expect your opinions to change what we build.

Requirements

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.
0→1 experience. You've taken a product from zero to meaningful customer usage. Ideally, in an early-stage environment (seed/Series A), where you didn't have a full supporting cast to lean on.
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, in order to increase your leverage. You have a real 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.
Strong technical fluency. Comfortable discussing architecture, tradeoffs, and constraints with senior engineers.

Nice To Haves

Previous founder or first-PM experience at an early-stage startup
Experience building tools for researchers or in the market research industry

Responsibilities

Own a Meaningful Product Surface End-to-End: Drive the full lifecycle of your product surface, from discovery to delivery to adoption. Write crisp specs, prioritize ruthlessly, and partner with engineering. Own outcomes, not outputs.
Build Direct Customer Intuition: Spend meaningful time with customers. Work alongside our PhD-level Researchers, but build your own direct understanding of how our users and buyers at Fortune 1000 brands actually think.
Make AI-Native Product Decisions: Shape the AI layer of our product: eval strategies, quality loops, failure-mode design, when to trust the model versus defer to humans. This is the craft that separates Researcher-Driven AI from AI-washed research tools.
Operate as a Force Multiplier Across R&D and GTM: Drive clarity on tradeoffs, reduce mid-stream thrash, and keep Engineering, Research, and GTM aligned on what matters most.
Contribute to Company-Level Decisions & Roadmap: Your impact should reach beyond what you ship, into how we plan quarters, how we position against competitors, and how we tell our story to customers. Bring bets to the betting table backed by real customer conviction, and see them through with evidence, judgment, and taste.