Knit
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Title
Revenue Operations Lead Department
Go-To-Market Reports To
COO FLSA Classification
Exempt Location
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. Travel
Occasional travel for GTM team in-person offsites [less than 10%]. Knit US holds an annual All-Team Summit. 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
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. Key Performance Indicators
Data Quality & Infrastructure – You will be measured on KPI’s showing the accuracy and completeness and overall hygiene of the CRM Data (Knit currently uses Salesforce) Productivity & Automation Gains – You will be measured on the speed to market, adoption, and ROI of automation and AI tooling in the rev ops systems Strategic Guidance Effectiveness – You will be measured on effectiveness of strategic guidance provided to cross-functional team members to build our GTM systems Primary Responsibilities
GTM Reporting, Planning, & Operations – Partner cross‑functionally with the COO, Sales, Marketing, Customer Success, and Product to design and scale a best‑in‑class revenue operations system Support Finance – Ensure CRM data integrity that enables accurate, dynamic revenue forecasting and compensation plan design Enhance Reporting – Build dashboards and surface actionable insights across the funnel to empower Sales, Customer Success, and Executive decision‑making Streamline Processes – Lead lead routing, opportunity management, and customer handoff processes across Marketing, Sales, and CS Operational Leadership – Support GTM leaders on territory, quota, and renewal planning and act as a go‑to resource for operational challenges Ad Hoc Analysis – Support leadership with ad‑hoc analysis, scenario modeling, and board‑level reporting Salesforce & Tech Stack Ownership
Architect GTM infrastructure, including CRM design and management, to ensure peak team performance and consistent access to accurate pipeline data Drive continuous improvement of GTM systems through measurement, optimization, and automation—delivering efficiency gains across the organization Leverage automation and AI tools (e.g., GPT‑based assistants, workflow bots, reporting agents) to streamline lead routing, pipeline reporting, and campaign execution 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 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
Competitive salary, equity options, healthcare (medical, dental, and vision), additional coverage, a company laptop and one‑time onboarding technology stipend, 401(k) with company match, flexible time‑off, hybrid working, and more. Company Values
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 Keep the main thing the main thing – Identify what has the biggest impact and prioritize to focus on it.
#J-18808-Ljbffr
Revenue Operations Lead Department
Go-To-Market Reports To
COO FLSA Classification
Exempt Location
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. Travel
Occasional travel for GTM team in-person offsites [less than 10%]. Knit US holds an annual All-Team Summit. 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
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. Key Performance Indicators
Data Quality & Infrastructure – You will be measured on KPI’s showing the accuracy and completeness and overall hygiene of the CRM Data (Knit currently uses Salesforce) Productivity & Automation Gains – You will be measured on the speed to market, adoption, and ROI of automation and AI tooling in the rev ops systems Strategic Guidance Effectiveness – You will be measured on effectiveness of strategic guidance provided to cross-functional team members to build our GTM systems Primary Responsibilities
GTM Reporting, Planning, & Operations – Partner cross‑functionally with the COO, Sales, Marketing, Customer Success, and Product to design and scale a best‑in‑class revenue operations system Support Finance – Ensure CRM data integrity that enables accurate, dynamic revenue forecasting and compensation plan design Enhance Reporting – Build dashboards and surface actionable insights across the funnel to empower Sales, Customer Success, and Executive decision‑making Streamline Processes – Lead lead routing, opportunity management, and customer handoff processes across Marketing, Sales, and CS Operational Leadership – Support GTM leaders on territory, quota, and renewal planning and act as a go‑to resource for operational challenges Ad Hoc Analysis – Support leadership with ad‑hoc analysis, scenario modeling, and board‑level reporting Salesforce & Tech Stack Ownership
Architect GTM infrastructure, including CRM design and management, to ensure peak team performance and consistent access to accurate pipeline data Drive continuous improvement of GTM systems through measurement, optimization, and automation—delivering efficiency gains across the organization Leverage automation and AI tools (e.g., GPT‑based assistants, workflow bots, reporting agents) to streamline lead routing, pipeline reporting, and campaign execution 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 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
Competitive salary, equity options, healthcare (medical, dental, and vision), additional coverage, a company laptop and one‑time onboarding technology stipend, 401(k) with company match, flexible time‑off, hybrid working, and more. Company Values
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 Keep the main thing the main thing – Identify what has the biggest impact and prioritize to focus on it.
#J-18808-Ljbffr