Knit - Lead Product Manager

Knit is an AI-native consumer research platform that helps brands automate and accelerate primary research. They are seeking a Lead Product Manager to own a meaningful product surface end-to-end, drive company-level bets, and operate as a senior voice in product strategy and customer value.

Responsibilities:

• Own a Meaningful Product Surface End-to-EndDrive 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. At this level, we expect you to define the surface you’re working on in addition to executing against it
• Build Direct Customer IntuitionSpend meaningful, consistent time with customers. Work alongside our PhD-level Researchers, but bring your own developed point of view on how users and buyers at Fortune 1000 brands think, what they need, and where the market is moving
• Make AI-Native Product DecisionsOwn the AI layer of your surface: eval strategies, quality loops, failure-mode design, when to trust the model versus defer to humans. This is what separates us from AI-washed research tools, and you'll help us defend and extend that gap
• Operate as a Force Multiplier Across R&D and GTMDrive clarity on tradeoffs, eliminate mid-stream thrash, and ensure Engineering, Research, and GTM are working from one shared reality about what matters and why. At this level, we expect you to create alignment
• Contribute to Company-Level Decisions & RoadmapYour impact should reach well beyond what you ship. Bring bets to the betting table backed by real customer conviction, competitive insight, and business judgment. Weigh in on how we plan quarters, how we position against competitors, and how we tell our story to customers. See your bets through with evidence, judgment, and taste

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, and where you were trusted to operate with real autonomy
• 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. 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. Comfortable driving real conversations with senior engineers about architecture, tradeoffs, and constraints — not just translating between them
• Strategic range. You've operated beyond your own surface and influenced roadmap direction, contributed to company-level planning, and shaped how your org thinks about a market. You have opinions that change what gets built, and you back them with evidence
• Previous founder or first-PM experience at an early-stage startup
• Experience building tools for researchers or in the market research industry
• Background operating in a senior IC role in a flat, founder-led environment