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Revenue Operations & GTM Systems Lead - Remote
Revenue Operations & GTM Systems Lead - RemoteRudderStack • San Francisco, California, United States, 94104
Revenue Operations & GTM Systems Lead - Remote

Revenue Operations & GTM Systems Lead - Remote

RudderStack • San Francisco, California, United States, 94104
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About RudderStack

At RudderStack, we are redefining enterprise-scale data collection and routing. We are building a customer data platform (CDP) on the customer's own data warehouse. Our open-source, developer-first approach is the first of its kind. We understand the outsized impact customer data has on businesses, and we understand the challenges and pain points. We are looking to solve the customer data management problem in enterprises, once and for all, in a secure, compliant and cost-effective way.

RudderStack collects data from 30+ sources, can transform events on the fly, and routes to 150 different marketing, sales, product, analytics applications all with one snippet of code.

We’re backed by Insight Partners, Kleiner Perkins and S28 and have raised a total of $82 million in funding. Our customers include Crate + Barrel, Acorns, PrizePicks, and Cars.com. We process critical customer data for some top companies around the world, and are looking for ambitious individuals to join our team and help shape the future of our product.

About the role

  • We’re looking for our next RevOps teammate : someone who enjoys building, solving hard problems, and turning chaos into crisp systems. You’ll own RevOps end-to-end (forecasting, compensation, deal desk, systems, data) and architect the automation that scales Sales, Marketing, and Customer Success.
  • This is a true player-coach role : hands-on today, with an opportunity to build the RevOps team as we scale.
  • If you have a growth mindset, enjoy experimenting with AI-driven workflows, and thrive in fast-moving, high-context environments, you’ll feel right at home here.

What you'll do

  • Systems & Process

    • Own and optimize our GTM stack : Salesforce, Gong, Clay, Customer.io, Qualified, RudderStack.

  • Define GTM processes and data governance; maintain routing, hierarchies, and access.
  • Integrate CRM, product, billing, and marketing data into a clear and usable single source of truth.
  • Commercial Operations

    • Run forecasting across new business, expansion, and renewals; manage weekly / quarterly roll-ups.

  • Design and administer Sales and CS compensation (quotas, accelerators, crediting, attainment).
  • Operate the deal desk : pricing frameworks, discount guardrails, approvals with Finance / Legal, quote-to-cash accuracy; analyze margin / terms impact.
  • Analytics & Modeling

    • Define the GTM data model and metrics (ARR, NRR, CAC, pipeline, retention).

  • Standardize funnel stages and conversion criteria; publish dashboards for executives, board discussions, and planning cycles.
  • Partner with Finance on planning, capacity, coverage, and productivity models.
  • Automation & AI enablement

    • Use Clay, Zapier / Make, and RudderStack to automate enrichment, routing, alerts, and reporting.

  • Pilot LLM-enabled workflows (summarization, scoring, forecasting commentary) to remove manual work and increase speed.
  • Leadership

    • Manage, coach, and develop a RevOps analyst while staying close to the details.

  • Translate executive priorities into operational roadmaps, KPIs, documentation, and repeatable processes.

    • Qualifications

  • 6–10 years in RevOps, Sales Ops, GTM Systems with end-to-end ownership.
  • Deep experience with forecasting, compensation design, deal desk operations, and CRM administration.Strong Salesforce administration skills; fluent with Clay and automation tools (Zapier / Make).

    • Who You Are

  • Data-literate; comfortable defining models and building executive-grade reporting.
  • A builder with a bias towards improving systems, eliminating manual work, and raising the operational bar.
  • A clear communicator and strong cross-functional partner who can work at speed without sacrificing accuracy.
  • Has a growth mindset; is curious, adaptable, excited to learn and leverage AI.

    • The compensation range for this role is $160,000–$200,000 per year. Total compensation will include stock options and a comprehensive benefits package. Actual compensation will depend on your location, skills, experience, and qualifications.

    PI7b76a9152553-30511-39066549

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    Revenue • San Francisco, California, United States, 94104

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