---
title: 'Director of Research Operations at Knit'
canonical: 'https://feeny.ai/job/director-of-research-operations-knit-new-york-gkcmtgvtz5xq'
type: 'job'
last_seen: '2026-09-09'
---

# Director of Research Operations at Knit

- **Company:** Knit
- **Location:** New York, NY
- **Compensation:** $160k–$200k
- **Work type:** remote
- **Posted:** 2026-08-27
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/knit/jobs/4385129009

## Job description

Who we’re looking for

Role: Director of Research Operations

Team: Research

Reports To: CTO and Co-Founder

Supervisory Responsibility: This role will have 2 direct reports, the Lead Survey Programmer and the Fielding and Partnerships Team lead. Both are India based.

This leadership role will be responsible for overseeing the Knit research operations, programming, quality assurance (QA), and fieldwork teams. Total of 10 people, all offshore

Location: USA, NYC preferred.

Travel: If not located in NYC, this role will be expected to travel to NYC approximately once a month.

A little about us

[Knit](https://goknit.com/) is the The Researcher-Driven AI Platform helping researchers run agency-quality quant + qual research at DIY costs & speed. Through Knit, brands like NASCAR, JBL, and Mars automate their consumer research process to get a quicker and more holistic understanding of their audiences.

## Role Purpose

The Director of Research Operations is core to Knit’s success by overseeing and optimizing the research operations workflow to deliver consistent, high-quality data.

By leading the programming, fieldwork, vendor management and QA functions, this role is expected to:

- Help entirely automate survey programming without errors
- Minimize fieldwork time while maximizing audience reach and data quality
- Minimize QA time while upholding our high data quality standards
- Automate feasibility request workflows and increase accuracy of predictions

This leadership role is expected to contribute to product innovation, automation through AI tooling, and adoption of new tools and processes in the project lifecycle, to improve how Knit executes research.

Business Impact

The Research Operations function is a primary contributor to Knit’s shared business objectives of:

- Customer retention and upsells (Net Revenue Retention) through increasing speed and quality of research operations.
- Increased win rate on new business through increased audience reach
- Improve gross margins by optimizing sample and headcount spend as revenue scales.

## Key Responsibilities

- Leading Programming, Fieldwork, and QA teams to collaborate in setting, meeting, and improving Knit’s data collection SLA’s to meet customer demands and turn it into a competitive advantage.
- Reducing the average time to final N (become the fastest possible in the industry)
- Improve data quality (highest quality responses in the industry)
- Improve feasibility (expand audience network to support niche use cases, different sampling techniques, etc.)
- Providing an expert point of view to enable Product to build automation systems to improve efficiency. Collaborating with product teams to create tooling that automates human processes for programming, fieldwork, feasibility, and data QA.

Increasing net new capabilities to drive New Business Opportunities:

- Collaborating across the organization to successfully operationalize new research Knit can support - new capabilities, use cases, and audiences

For example:Expanding international capabilities by driving the initiative from scoping (what is required by the customer in this market) to implementation (compliance, new languages, market-specific needs).Providing operational/executional support for advanced analytic techniques as it impacts Programming, Fielding, and QA

- Serving as the Research Operations Function Leader
- Own company-level objectives, key results, and KPI’s - specifically for improving the strategy for execution, delivery and reporting
- Driving people operations decisions for the Research Operations Function (process mapping, organizational design, capacity management, staff forecasting, recruiting, hiring, onboarding, performance management, conflict resolution, and morale building)

Required Skills & Experiences

- 7+ years in the insights and market research industry - our ideal candidate has worked in a market research tech agency, leading research operations
- Proven track record of having built and scaled complex sampling operations for multiple research methodologies (quick-turn, quant & qual).
- Proclivity for automation and productization, a leader who has innovated and built efficiencies into processes that otherwise would not exist
- Our ideal candidate has cross-functional experience leading and enabling both internal and external teams on research ops processes from idea to full implementation. For example, pricing & feasibility with Sales, positioning with Marketing, compliance with Operations, innovation with Product, etc. We are not looking for a participant in the process - we are looking for a leader who has been in the driver role standing up net new organizational-wide capabilities from scratch.
- Highly effective people operations leader both cross-functionally and at the function level - specifically in:
- Adapting processes as the operating tooling evolves
- Process mapping, organizational design, capacity management, staff forecasting, recruiting, hiring, onboarding, performance management, conflict resolution, and morale building
- Deep experience with survey programming across tools like Qualtrics, Decipher, etc.

## Benefits

Upon joining the Knit team, you will receive a competitive salary, plus stock 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, catered lunch, and more!

Salary

In accordance with New York pay transparency requirements, the salary range for this role is $160,000 - $200,000. 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.

Knit Privacy Policy [here.](https://goknit.com/privacy-policy)

CCPA disclosure [here](https://goknit.com/notice-at-collection).

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 $160,000—$200,000 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

- [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)
- [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