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Research Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Knit
Full Time position
Listed on 2026-07-14
Job specializations:
  • Research/Development
    Market Research, Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 115000 - 130000 USD Yearly USD 115000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: New York

A little about us…

Knit 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

The purpose of the Research Manager role is to ensure Knit customers successfully achieve their desired research outcomes through their partnerships with Knit. By owning and supporting customer relationships, getting deeply ingrained in customer research needs, and driving high‑quality project deliverables, the Research Manager’s impact is ultimately measured by positive customer retention.

Responsibilities | What you will own

The research function is a primary contributor to Knit’s shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting successful Pilot to Subscription Conversions for acquiring new business.

The levers the Research Director role owns to influence these key business objectives are:
  • Research Success → Ensuring Knit Customers successfully achieve their desired research outcomes through their projects with Knit, measured by successfully achieving Research Objectives and delivering on Knit’s Quality & Speed service‐level agreements (SLAs)
Primary responsibilities of this role:
  • Serving as the dedicated research lead for all customers’ projects (on assigned accounts) and serving as the ultimate accountable part for research project success
  • Driving and documenting in‑depth project scoping to uncover a deep understanding of research objectives and project context to set up project success
  • Demonstrating a growth mindset as a solutions architect for customers, educating them on Knit’s research capabilities, consulting with them to adjust for fringe requirements, and proposing solutions to maximize project success — escalating to Research Directors when needs exceed capabilities
  • Escalating needs to Research Directors to support troubleshooting when increased risk for project viability or customer impact occurs
  • Driving, maintaining, and enriching all customer context to improve Knit’s ability to meet the customers’ custom research needs
  • Being the final, customer‑ready check and approver on all Knit final topline delivery and presenting the key insights and recommendations directly to the customers
  • Participating in continuous innovation on Knit’s AI product to minimize the delta between Knit’s AI output and a human researcher output
  • Driving feedback collection on the “last mile” — uncovering and documenting what happens after Knit delivers a project to when it’s “stakeholder ready,” supporting Knit’s product vision in getting to stakeholder‑ready reports
Required Skills & Experiences
  • Must have 5+ years of market research experience, with the majority of the time spent on the supplier side in a market research agency environment.
  • Must have experience leading discovery and scoping calls, writing and editing quant and qual questionnaires from scratch, drafting analysis plans, and creating and presenting stakeholder‑ready insights topline & reports.
  • Ability to drive initiatives and outcomes in ambiguous environments, both for navigating complex customer needs and Knit internal business changes. Proven track record successfully operating in an early‑stage startup (
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