---
title: 'Product Marketing Manager at Knit'
canonical: 'https://feeny.ai/job/product-marketing-manager-knit-remote-pmskmcgcebpv'
type: 'job'
last_seen: '2026-09-09'
---

# Product Marketing Manager at Knit

- **Company:** Knit
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-06-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/knit/jobs/4272781009

## 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 looking for a Product Marketing Manager to work directly with our Director of Product Marketing. We're in a period of rapid growth: our product is evolving, our sales team is scaling, and our GTM motion is maturing. That means the Product Marketing function here has a deep impact on the trajectory of the company, and what we build now becomes the foundation for how our go-to-market machine operates.

This is a hands-on execution role with real ownership. You'll be the person who takes product positioning and messaging strategy and turns it into the infrastructure, programs, and enablement that move deals forward and keep our sales team sharp. This role covers both product launches and sales enablement, giving you hands-on experience across the full GTM motion and the opportunity to develop a depth of Product Marketing experience in a single role.

We're an AI-native company and we expect this role to operate that way. You'll use AI fluently in your day-to-day work, and you'll build lightweight workflows, integrations, and automations that scale your output and keep our systems current.

Responsibilities | What you will own...

Product Launches

You'll own end-to-end launch execution and help build the infrastructure that makes each launch more repeatable than the last.

- Own end-to-end execution of product launches: coordinating timelines, drafting launch messaging, and ensuring every stakeholder knows what's shipping and how to talk about it
- Build scalable launch infrastructure — templates, processes, and systems — so each release requires less rebuilding from scratch and more refinement
- Translate sprint releases and product updates into crisp internal communications that help a sales rep confidently explain a new capability the morning it ships
- Own and maintain launch assets — FAQs, one-pagers, product narratives, positioning guides and use AI tooling to keep them current as the product evolves
- Partner with our Product team on crafting compelling messaging, and with our content marketer on campaign content

Sales Enablement

You'll design and run the programs that keep our sales team effective; not trained once, but continuously equipped as the product and market evolve.

- Design evergreen enablement programs including onboarding / ever-boarding, and ongoing skill development; and facilitate them with the authority and presence to make them land
- Build and maintain the competitive intelligence system that keeps reps current: competitive positioning guides, objection handling frameworks, and battlecards that reflect how we actually win
- Own rep onboarding curriculum end-to-end so new hires ramp quickly and confidently
- Own our Aligned platform (in partnership with our content marketer): a regular internal communication cadence that keeps the full GTM team current on what's new and how to sell
- Build lightweight AI workflows and automations that scale your output, surfacing the right content at the right moment rather than relying on manually updated documents

Required Skills & Experiences

What Success Looks Like

- Sales reps can speak to new product capabilities within days of a launch, not weeks
- New reps ramp faster because the onboarding program is structured, current, and doesn't depend on your constant presence to work
- Launch timing and cadence are proactive, the team knows what's coming and is prepared before it ships
- Enablement materials are living systems, not documents that require a manual refresh cycle
- You can operate autonomously, driving cross-functional initiatives forward without waiting to be directed, while staying closely aligned with the Director of PMM on strategy and priorities

## About You

- 3–5 years of product marketing experience, ideally at a B2B SaaS or tech-enabled services company. Bonus if you have experience in Market Research.
- You've owned launch execution before. You know what it takes to coordinate cross-functional stakeholders, hit a date, and get the right message to the right people
- You've built or contributed to sales enablement programs, and you're comfortable presenting and facilitating in front of a sales team
- AI fluent: you use AI tools daily to increase the quality and speed of your work, and you're comfortable building lightweight workflows, integrations, and automations
- Strong writer and storyteller, you can make complex product concepts clear and compelling for a non-technical sales audience
- You think in systems, not documents, you build things that scale and stay current rather than assets that need constant manual upkeep
- Highly organized and proactive about process; you notice when something is missing and build it without being asked
- You work well with a manager who sets direction and trusts you to execute; you don't need every decision made for you
- You're effective at influencing cross-functional stakeholders (product, sales, CS) without direct authority.

## Nice to Have

- Experience in market research, insights, or adjacent data/analytics industries
- Familiarity with AI-powered products or platforms
- Experience in a high-growth startup where the GTM function was still being built

## 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 $110,000 - $150,000. 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.

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
- [Lead Product Manager](https://feeny.ai/job/lead-product-manager-knit-new-york-xq65px3cq7np) — New York, NY
- [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