---
title: 'Senior Survey Programmer at Knit'
canonical: 'https://feeny.ai/job/senior-survey-programmer-knit-india-ze7n311wxjem'
type: 'job'
last_seen: '2026-09-16'
---

# Senior Survey Programmer at Knit

- **Company:** Knit
- **Location:** India
- **Work type:** remote
- **Posted:** 2026-04-30
- **Last confirmed live:** 2026-09-16
- **Apply:** https://job-boards.greenhouse.io/knit/jobs/4219376009

## 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

Senior Survey Programmer's purpose is to ensure efficient and accurate study programming of all Knit surveys to meet and exceed customer expectations. This role is critical to our business because it provides a smooth, high-quality customer experience.

- Review customers’ study designs and formulate recommendations to optimize questionnaires for successful programming and data outputs.
- Accurately program all of the Knit studies into Qualtrics and the Knit dashboard.
- Conduct quality control checks to ensure error-free surveys
- Ensure completion of survey programming by established deadlines and/or notifying teams with alternate plans when necessary
- Identify and implement innovative programming techniques and non-standard solutions to programming challenges when needed
- Integrate complex logic (display logic, branching, skip logic, termination logic, etc.), graphic, multimedia and specialty survey components when needed
- Provide technical support and guidance on survey programming best practices
- Coordinate with Research and Customer Success team members to ensure successful survey fielding and project completion
- Accurately and efficiently clean raw data in CSV exports for seamless uploading into Knit

Responsibilities | What you will own...

The Survey Programming team is measured on the following metrics…

- 100% of programming errors caught before soft launch
- 100% of projects are optimized for display and for analysis in Knit once we hit go in soft launch (e.g. question type, filters/cuts, HVs, etc.)
- <10% of all projects have a Tech team change request AFTER fieldwork has started

Required Skills & Experiences

Required:

- Fluent in written and verbal English
- Exceptional communication skills with the ability to communicate directly with Knit’s US-based customers via email (occasionally, via Zoom calls)
- Experience in a client-facing role
- Expert proficiency (6+ years) in survey programming software platforms, specifically Qualtrics. The candidate must be comfortable creating surveys with complex question types, survey flow logic, display and skip logic, embedded variables, and basic JavaScript.
- Knowledge and experience using JavaScript, HTML, and CSS
- At least 3+ years of experience in Market Research (ideally having previous experience with large market research companies such as IPSOS, Kantar, Nielsen, Gartner, etc.)
- Highly detail-oriented with a perfectionist attitude.
- Ability to program surveys quickly and efficiently, with the ability to meet quick deadlines
- Bonus: Experience fielding online surveys using Cint (Lucid), InnovateMR, Prodege, etc.

## Benefits

Upon joining the Knit team, you will receive a competitive salary + Equity Options if applicable to role, Healthcare Coverage, a company-issued laptop, contributions to the Employee Provident Fund (EPF), holiday time-off, and more!

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
- [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 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