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RevOps Manager; Marketing

Job in Oregon, Dane County, Wisconsin, 53575, USA
Listing for: Medium
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Digital Marketing, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: RevOps Manager (Marketing)

Hello, we’re Instrumentl

Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that. Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant‑funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska.

Collectively they’ve moved over $1 billion through our platform. We’re doubling year over year; customers love us. We’re hiring people who want to build something that matters.

About the role

We’re hiring a Rev Ops Manager, reporting to the Revenue Operations Lead, to own the technical infrastructure that powers our marketing engine. This is a builder role. You’ll architect our marketing data model within our CRM, integrate new data sources, and implement AI tools across our marketing programs. You’ll partner closely with our Product Marketing Managers, Events & Community team, and Growth Product team.

You’ll act as connective tissue for Marketing, Sales, and CS initiatives.

You’ll work alongside two other Rev Ops Managers and together, you’ll form the core team that makes our GTM motion efficient, scalable, and increasingly intelligent. This role is ideal for someone who is an equal parts systems thinker and hands‑on builder, comfortable writing SQL queries in the morning and presenting a quarterly business review in the afternoon.

What you’ll do Data Architecture & CRM Ownership
  • Own and maintain our marketing data model in Hub Spot, ensuring clean object relationships, consistent field architecture, and scalable structure as we grow
  • Build and maintain data pipelines connecting external sources (product usage, event platforms, enrichment providers, ad platforms) into our marketing systems
  • Establish data governance standards and ensure data quality across all marketing systems, from campaign attribution to lifecycle stage definitions
  • Partner with Growth Product to instrument signup and onboarding events, ensuring product data flows cleanly into Hub Spot
  • Build and refine lead scoring and segmentation models based on conversion data and PMM feedback
AI Tooling & Automation
  • Evaluate, implement, and optimize AI tools that enhance marketing productivity
  • Build automated workflows that reduce manual work: enrichment on inbound signups, event follow‑up sequences, intelligent nurture branching, and onboarding triggers
  • Partner with PMMs and the Events team on adoption of new tools
  • Stay current on emerging AI/automation capabilities and bring a POV on what to test next
Reporting & Analytics
  • Build and maintain dashboards providing visibility into funnel health, channel performance, campaign ROI, event ROI, and signup‑to‑activation conversion
  • Document metric definitions, scoring logic, and attribution methodologies to ensure transparency across Marketing and GTM teams
  • Partner with Growth Product and MM to define launch KPIs and stand up dashboards that give Marketing, Sales, and CS shared visibility
Integration & Tech Stack
  • Own integrations between marketing tools (Hub Spot, event platforms, community tools, ad platforms, enrichment, product analytics, data warehouse)
  • Evaluate new tools and make build‑vs‑buy recommendations
  • Ensure our marketing tech stack is lean, well‑integrated, and delivering ROI
What we’re looking for Required
  • 3–5+ years in Marketing Operations, Revenue Operations, or a GTM Systems role at a B2B SaaS company
  • Hands‑on experience with marketing automation and CRM administration (Hub Spot preferred)
  • Data architecture experience: you’ve designed or significantly improved a marketing data model and connected multiple systems
  • Analytical mindset: you make decisions based on data and know how to measure whether a campaign or experiment is working
  • Comfortable partnering with product and engineering teams
Nice to Have
  • Familiarity with product analytics tools and how product event data feeds lifecycle marketing
  • Experience with data enrichment vendors and intent data providers
  • Experience supporting field marketing, events, or community programs
  • Experience with BI tools…
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