--- title: 'Lead Product Manager at Knit' canonical: 'https://feeny.ai/job/lead-product-manager-knit-new-york-xq65px3cq7np' type: 'job' last_seen: '2026-09-09' --- # Lead Product Manager at Knit - **Company:** Knit - **Location:** New York, NY - **Compensation:** $205k–$235k - **Work type:** hybrid - **Posted:** 2026-05-12 - **Last confirmed live:** 2026-09-09 - **Apply:** https://job-boards.greenhouse.io/knit/jobs/4246548009 ## Job description A little about us… [Knit](https://goknit.com/) 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. ## Overview 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. Outcomes Success in this role is defined by sharper product decisions, stronger execution, and measurable customer and business impact on the surface you own. - Customer adoption of shipped work: Usage and adoption rates of new and materially updated capabilities within our target ICP. - Product velocity and roadmap reliability: Consistent shipping against outcome-driven commitments, with fewer mid-stream changes and clearer scope on what's in vs. out. - Customer and business impact: Expansion revenue, win rate, retention, and customer value creation attributable to your product work. - Cross-functional coherence: Engineering, Research, and GTM operating from one shared reality about what matters most, and why. - Strategic contribution: Bets you've brought to the table, backed by customer conviction and market insight, that shaped the roadmap beyond your own surface. Responsibilities | What you will own... Primary responsibilities of this role: - 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. At this level, we expect you to define the surface you’re working on in addition to executing against it. - Build Direct Customer Intuition Spend 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 Decisions Own 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 GTM Drive 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 & Roadmap Your 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. Required Skills & Experiences Required: - 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. 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 - Background operating in a senior IC role in a flat, founder-led environment. ## Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $205,000 - $235,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: - Are 1% better every day: We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?” - Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action  (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). - Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. In accordance with New York pay transparency requirements, the salary range for this role is listed below. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit. Salary Range $205,000—$235,000 USD Knit Privacy Policy [here.](https://goknit.com/privacy-policy) CCPA disclosure [here](https://goknit.com/notice-at-collection). ## About Knit ## Company Overview - **One-liner**: Knit is an AI-native research agency that combines researcher expertise with autonomous AI agents to deliver decision-ready quantitative and qualitative insights faster than traditional agencies. - **Entity Type**: Private (Series A; total funding $30.65M) - **Headquarters**: New York, New York, United States - **Founded**: 2022 (LinkedIn data; earlier funding rounds under a predecessor entity may exist) - **Founders**: Aneesh Dhawan (Co-Founder & CEO) ## Core Business - **Primary industry/industries**: Market Research / Insights & Analytics - **Target customers**: B2B – primarily enterprise insights teams and research leads at global brands (Amazon, ESPN, Mars Wrigley, T-Mobile, NASCAR, Timex) - **Mission or purpose statement**: To unlock entirely new ways for the world’s most iconic enterprises to run research – enabling insights teams to operate at the speed of the business and focus on strategic thinking rather than execution. ## Products & Services - **AI-Native Research Agency (End-to-End Service)**: Researcher-driven AI platform that manages the full research lifecycle – scoping, questionnaire design, sample & fielding (own panel of 65M+ vetted respondents or bring-your-own), mixed-method quant & qual analysis, and decision-ready reporting. Studies can go from scoping to story in a week or less. - **Researcher-Driven AI™**: A methodology where a dedicated forward-deployed researcher grounds the AI in sound research design and business context, ensuring outputs are defensible and decision-ready. - **Research Context Library**: Stores past studies, brand guidelines, and business context so each new project starts smarter and learns over time. - **Survey Creation & Programming**: AI-assisted questionnaire building with quant and qual (including video questions and AI-moderated questions) in a single study. - **Automated Analysis & Reporting**: AI generates structured reports with charts, headlines, key themes, and video summaries – exportable to PowerPoint or Google Slides. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metrics**: - Annual Revenue: ~$1 million (LinkedIn estimate) - Total Funding: $30.65 million (across 7 rounds) - **Notable Investors/Partners**: - Series A (August 2025): $16.1M led by GFT Ventures and Sound Ventures - Series A (September 2024): $9.0M led by Revolution’s Rise of the Rest Seed Fund - Early investors: Techstars (Pre-Seed 2019) - **Growth Signals**: - Headcount: 67 employees (+65.4% year-over-year) - LinkedIn follower growth: +143.7% annually (10,511 followers) - Clients include Amazon, Mars Wrigley, NASCAR, Timex, T-Mobile, ESPN - 15 active job postings (as of mid-2026) ## Competitive Advantages - **Researcher-Driven AI**: Unlike DIY AI tools that hand off raw outputs, Knit embeds a real researcher in every project to oversee methodology, business context, and analysis – delivering agency-quality insights at platform speed. - **Speed + Quality Tradeoff Eliminated**: Claims to reduce timelines from months to a week while cutting costs vs. traditional agencies – all without sacrificing rigor. - **Unified Quant + Qual**: Single study supports both quantitative and qualitative methods (including video), providing a holistic picture automatically analyzed together. - **Context Memory**: The platform retains and applies past research context, brand guidelines, and business learning across projects, increasing efficiency over time. ## Strategic Focus - **Enterprise expansion**: Aggressively hiring for Enterprise Account Executives, Client Partners, and a Director of Enterprise Sales (West Coast / PST/MST) – indicating a push into larger accounts. - **Product-led growth**: Emphasizing a self-serve + researcher-assisted model to serve both DIY and full-service customers. - **AI capabilities deepening**: Recent departure of Head of AI (May 2026) may signal a pivot or scaling of the AI team; current job postings include Staff Full Stack Engineer and Advanced Analytics Lead. ## Why Work Here - **Culture highlights**: Described as a place where "building the next great technology to hit the insights world" relies on exceptional talent. Team is growing rapidly (+65% YoY) with a collaborative, hybrid environment. - **Remote/Hybrid policy**: Hybrid working model explicitly listed as a benefit. Offices in New York (HQ), Austin, and presence in India and Canada. - **Notable perks** (from careers page): - Competitive salary - Flexible Time Off - Healthcare Insurance - 401(k) Match - Paid Parental Leave - Company Laptop - **Engineering culture**: Recent job postings include a Staff Full Stack Engineer role; technical team comprises ~7% of headcount. Emphasis on building an AI-native research platform suggests a fast-paced, product-forward environment. - **Employer Rating**: 3.7/5.0 on LinkedIn (3 reviews), with Work-Life Balance scored 4.0. ## Sources 1. [goknit.com/about/careers](https://goknit.com/about/careers) 2. [goknit.com/](https://goknit.com/) 3. [goknit.com/about](https://goknit.com/about) 4. [LinkedIn Company Profile](https://www.linkedin.com/company/goknit) 5. [JazzHR Career Page](https://goknit.applytojob.com/apply) ## Other roles at Knit - [Director of Research Operations](https://feeny.ai/job/director-of-research-operations-knit-new-york-gkcmtgvtz5xq) — New York, NY - [Founding Talent Partner - GTM](https://feeny.ai/job/founding-talent-partner-gtm-knit-new-york-we3kd59wc8zf) — New York, NY - [Founding Talent Partner - Product and Engineering](https://feeny.ai/job/founding-talent-partner-product-and-engineering-knit-new-york-ecjn29208p2z) — New York, NY - [Director of Growth Marketing](https://feeny.ai/job/director-of-growth-marketing-knit-new-york-6vdsjtd8f26e) — New York, NY / United States - [Research Manager](https://feeny.ai/job/research-manager-knit-new-york-tb2h9eq6spp3) — New York, NY / United States - [Research Director](https://feeny.ai/job/research-director-knit-united-states-gkexwf690jk9) — United States - [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-knit-remote-pmskmcgcebpv) - [Senior Survey Programmer](https://feeny.ai/job/senior-survey-programmer-knit-india-ze7n311wxjem) — India - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-knit-new-york-6crfkq3n8zpq) — New York, NY - [Staff Full Stack Engineer](https://feeny.ai/job/staff-full-stack-engineer-knit-new-york-a2fjdpyzy5zf) — New York, NY