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Revenue Operations Lead

Revenue Operations Lead

KnitNew York, NY, US
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Revenue Operations Lead

We are prioritizing candidates in NYC given the close collaboration of the COO role (also NY-based) but are open to remote. Knit has a hybrid working policy, with team members in the US and India. In the US, we have pods in NYC, Austin, Chicago, and D.C. In India, we have a pod in Delhi. Our standard business operating hours are Monday - Friday 9am - 5pm EST.

Occasional travel for GTM team in-person offsites [less than 10%]. Knit US holds an annual All-Team Summit.

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.

We're hiring a GTM Revenue Operations Engineer to help us build an AI-driven, go-to-market engine from scratch. This is a team "first hire" role, where you will single handedly build our rev ops systems, providing hands-on work and strategic guidance to our sales, marketing, customer success, and finance functions. You will be responsible for architecting, maintaining, and optimizing the systems, processes, and reporting infrastructure to power Knit's growth. The expectation is the systems will be built from first principles thinking, with a heavy emphasis on automation, intelligence, and scale. Your work will be critical in helping our teams move faster and operate smarter to achieve our revenue goals.

Responsibilities | What you will own

Key performance indicators for this role include :

  • Data Quality & Infrastructure
  • Productivity & Automation Gains

Primary responsibilities of this role :

  • GTM Reporting, Planning, & Operations
  • Salesforce & Tech Stack Ownership
  • Required Skills & Experiences

  • Expertise in Salesforce and working knowledge of 2-3 other GTM softwares (HubSpot, Apollo, etc.)
  • Familiarity with AI-based tools / agents (e.g., ChatGPT, Claude, or custom agents)
  • 5-8+ years of experience in RevOps, Sales Ops, or GTM Ops at a high-growth B2B SaaS company preferable at a Series A or B stage company
  • 2-3+ years of experience with GTM planning (e.g., compensation design, territory management, quota modeling, and hiring / capacity planning)
  • Proven track record of shaping solutions with a consultative mindset across multiple functions, clarifying tradeoffs, anticipating needs and risks, and driving stakeholder consensus to maximize impact
  • Proven track record of presenting data-driven strategies and context to executive-level audiences and making informed domain-level decisions aligned with business priorities
  • Experience with prompt engineering to customize AI outputs for internal tools, reporting, and automation workflows
  • Strong data fluency : able to work with data teams, write SQL, and manipulate Business Intelligence dashboards (e.g., Looker, Tableau)
  • Systems thinker with a bias for automation and simplification
  • Benefits

    Upon joining the Knit team, you will receive a competitive salary, 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!

    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.
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