RevOps

Posted Yesterday
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New York, NY, USA
Hybrid
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Natural Language Processing • Big Data Analytics
Your agents and analytics deserve better web data. 1M+ installs on Claude.
The Role
Lead and scale the revenue operations function: own CRM and RevOps stack, ensure data integrity, drive forecasting and pipeline health, build dashboards and insights, align Sales/Marketing/CS/Finance, enable territory/quota planning, and lead change to prepare the revenue engine for growth.
Summary Generated by Built In
Description

We’re seeking a Senior Revenue Operations leader to architect and scale the operating system behind our go-to-market engine. This role combines strategic partnership with hands-on execution, serving as a trusted advisor to the CRO and a unifying force across Sales, Marketing, Customer Success, and Finance.

You will turn GTM strategy into operational reality—driving alignment, clarity, and scalable processes that enable predictable, efficient growth.

Why This Role Matters

This role is central to Nimble’s ability to scale. You’ll shape how revenue really works here—how we plan, how we execute, and how we win. If you want to build something meaningful, visible, and lasting, this role has real leverage.

How We Work at Nimble

  • We value clarity, ownership, and trust.
  • We move fast, but we care about sustainability.
  • We expect leaders to think, not just execute.
  • We believe great systems enable great people
Responsibilities

What You’ll Own

Revenue Operations & Systems

  • Own and optimize the end-to-end revenue operations stack (e.g., CRM, forecasting, pipeline management, tooling).
  • Ensure data integrity, reporting accuracy, and scalable processes across the revenue lifecycle.
  • Analyze rev data to identify trends, opportunities, and areas for improvement.
  • Identify gaps and inefficiencies in the GTM funnel. Work with all GTM & Finance managers to reflect the gaps and proactively design better workflows. 
  • Provide insights and recommendations to support data-driven decision-making within the GTM teams, based on real business understanding. 

Planning, Forecasting & Insights

  • Lead revenue forecasting, pipeline health, and performance reporting. 
  • Prepare regular reports on GTM performance, key metrics, and other relevant insights.
  • Build clear dashboards and insights that enable leadership to make fast, confident decisions.
  • Partner with Finance on planning, targets, and performance tracking.

GTM Alignment & Enablement

  • Align Sales, Marketing, and Customer Success around shared metrics, definitions, and processes.
  • Support territory design, capacity planning, quota setting, and incentive structures.
  • Enable revenue teams with clear processes, documentation, and operational clarity.

Scale & Change Leadership

  • Prepare Nimble’s revenue engine for growth—new segments, products, pricing, or motions.
  • Drive change with empathy and credibility, not bureaucracy.
  • Be a trusted thought partner to revenue leadership and especially to the CRO.
Requirements

Experience & Skills

  • 6+ years in Revenue Operations, Sales Operations, or GTM Operations (B2B SaaS / data / AI strongly preferred).
  • Proven experience scaling revenue operations in a growth-stage company.
  • Strong analytical mindset—comfortable working with data, models, and metrics.
  • Hands-on experience with CRM systems (e.g., Salesforce) and RevOps tooling.
  • Ability to balance strategic thinking with execution.

Nice to Have

  • Experience supporting enterprise sales motions.
  • Familiarity with usage-based or data-driven pricing models.
  • Experience working closely with Product and Finance.

How You Work

  • You bring structure without over-process.
  • You’re proactive, opinionated, and comfortable challenging assumptions.
  • You communicate clearly with both executives and frontline teams.
  • You take ownership and follow through.
About us

Nimble is the real-time web search platform built for enterprise accuracy, completeness, and trust. We run Web Search Agents that actively navigate live websites using real browsers and reasoning, turning the public web into governed, decision-grade data for AI systems and high-stakes business use.

Unlike index-based “AI search” tools or brittle legacy scraping, Nimble makes the live web queryable on demand, delivering structured outputs that teams can verify and rely on. Our platform powers use cases where correctness matters: financial due diligence, real-time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data.

Trusted by leading enterprises like Home Depot, Uber, and Coca-Cola and backed by top-tier investors, Nimble sits at the intersection of AI, automation, and real-time web intelligence.

As demand accelerates across AI, LLMs, and data-driven decisioning, we’re scaling quickly and looking for high-energy, driven teammates who thrive in fast-moving environments and want to help define a new category.

Why join Nimble?

  • Work on a deeply technical platform powering real-time AI and enterprise decisions
  • Help define the future of Web Search Agents and live web intelligence
  • Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership

Skills Required

  • 6+ years in Revenue Operations, Sales Operations, or GTM Operations (B2B SaaS / data / AI preferred).
  • Proven experience scaling revenue operations in a growth-stage company.
  • Strong analytical mindset; comfortable with data, models, and metrics.
  • Hands-on experience with CRM systems (e.g., Salesforce) and RevOps tooling.
  • Ability to balance strategic thinking with hands-on execution.
  • Experience supporting enterprise sales motions.
  • Familiarity with usage-based or data-driven pricing models.
  • Experience working closely with Product and Finance.
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The Company
HQ: New York, New York
140 Employees
Year Founded: 2021

What We Do

Nimble enables your AI agents and teams to stream the precise intelligence they need from the live web, powered by infrastructure built to reliably access even the most complex, difficult-to-reach data.

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