Manager, Revenue Operations Systems

About CoLab

At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.

We build AI for engineers designing cars, medical devices, and jet engines. Products this complex aren't sketched and sent to production. Teams spend months on iterations, reviews, and tests, predicting how every part performs before anything is built. CoLab is where those reviews happen, and we capture the rationale behind every change. Other tools show what changed between versions. Only CoLab knows why. That's how our AI helps manufacturers like Bobcat, Triumph Motorcycles, and GE Appliances make better decisions, eliminate rework cycles, and get to market faster.

Proudly based in St. John’s, Newfoundland, CoLab started with one customer in 2018. Since then we’ve raised a $72M Series C, been named the 57th fastest growing company in North America by Deloitte (Fast 500™), signed multi-year AI partnerships with companies like Bombardier, and grown to a team of 250+.
About the Role

The Manager, Revenue Operations Systems will be the technical backbone of CoLab’s revenue operations team. You’ll own the architecture, build, and integration of the tools and data model that Sales, Marketing, and Customer Success run on — and the reporting infrastructure that leadership uses to inspect the business.

This is a hands-on ownership role, not an oversight role. You’ll design the data governance architecture alongside the SVP of Operations and then build it yourself. You’ll partner closely with a Revenue Operations counterpart who owns process, hygiene operations, and rep-facing enablement, and you’ll be the technical depth behind that partnership.
What you’ll do:

- Revenue tech stack ownership:

- Own the implementation, integrations, workflow design, and ongoing management of the tools serving the revenue organization, including CRM (Salesforce), business intelligence (Tableau), sales engagement (Salesloft/Outreach), CPQ and quoting, conversation intelligence (Gong), data enrichment (ZoomInfo), product analytics (Mixpanel), internal app building (Retool), AI assistants, and the Slack and Google Workspace integrations that connect them.

- Ensure all systems are optimized for performance and scale with the business, and stay aligned to how revenue teams actually work.

- Technical Integrations:

- Oversee integrations across the tech stack to ensure seamless data flow and functionality.

- Own implementation and rollout once a tooling decision is made, including migration planning and cutover, partnering with IT on provisioning and security.

- Process Automation and Optimization :

- Develop and implement automation workflows to streamline revenue operations and measurably reduce manual work across Sales, Marketing, and CS.

- Continuously evaluate systems for process improvement opportunities.

- Data model and governance architecture:

- Own the Salesforce data model and the governance architecture that protects it: object and field design, validation rules, required-field and stage-gating logic, permissions, and record-type structure.

- Design governance standards in partnership with the SVP of Operations, then build and maintain the enforcement layer that makes those standards hold — so data quality is structural rather than dependent on cleanup after the fact.

- Partner with Sales Operations, who maintains governance standards day to day and drives the rep behaviour that keeps data clean inside the architecture you build.

- Build and maintain the reporting layer that powers the revenue operating cadence: pipeline health views (stage and aging flags, at-risk identification, segment benchmarks), forecast and quota attainment reporting, and GRR/NRR views.

- Ensure reporting is accurate, accessible, and trusted without rework, including at the SLT and board level, and document data definitions so the business shares one version of the truth.

- Request intake and systems debt:

- Own the RevOps request queue: i