We're looking for a Revenue Systems Manager to own the technical infrastructure that powers our revenue engine. This is a builder role—you'll architect our CRM data model, integrate new data sources, and lead the technical implementation of AI tools across our sales processes.You'll work alongside our Revenue Operations Manager (who owns day-to-day CRM administration, sales process workflows, and rep enablement) and report directly to the Head of RevOps. Together, you'll form the core team that makes our GTM motion efficient, scalable, and increasingly intelligent.This role is ideal for someone who's equal parts systems thinker and hands-on builder—comfortable writing SQL queries in the morning and presenting a data architecture roadmap to leadership in the afternoon.
We're looking for a Revenue Systems Manager to own the technical infrastructure that powers our revenue engine. This is a builder role—you'll architect our CRM data model, integrate new data sources, and lead the technical implementation of AI tools across our sales processes.You'll work alongside our Revenue Operations Manager (who owns day-to-day CRM administration, sales process workflows, and rep enablement) and report directly to the Head of RevOps. Together, you'll form the core team that makes our GTM motion efficient, scalable, and increasingly intelligent.This role is ideal for someone who's equal parts systems thinker and hands-on builder—comfortable writing SQL queries in the morning and presenting a data architecture roadmap to leadership in the afternoon.
What You'll Own
Data Architecture & CRM Infrastructure
- Maintain our CRM data model in HubSpot, ensuring clean object relationships, consistent field architecture, and scalable structure as we grow
- Build and maintain data pipelines that connect external sources (intent data, enrichment providers, product usage, etc.) into our CRM
- Establish data governance standards and ensure data quality across all revenue systems
- Continuously test, refine, and improve account scoring models based on conversion data and sales feedback
- Create a "single source of truth" for revenue data that sales, marketing, and CS can trust
AI Tooling & Automation
- Evaluate, implement, and optimize AI tools that enhance sales productivity (research automation, personalization, forecasting, etc.)
- Build automated workflows that reduce manual work for reps—think enrichment on inbound, automated account research, intelligent routing
- Partner with the Revenue Operations Manager on change management and adoption of new tools
- Stay current on emerging AI/automation capabilities and bring a POV on what we should test next
Reporting & Analytics Infrastructure
- Build and maintain dashboards and reports that provide visibility into pipeline health, conversion rates, and GTM performance
- Document metric definition, scoring logic and other methodologies to ensure transparency for GTM teams
Integration & Tech Stack Management
- Partner with Data Engineering teams and own outside integrations between our revenue tools (CRM, sales engagement, enrichment, intent, marketing automation)
- Evaluate new tools and make build-vs-buy recommendations
- Ensure our tech stack is lean, well-integrated, and delivering ROI
What You'll Collaborate On
With the Revenue Operations Manager: AI tool rollouts (you own implementation, they own adoption and training), process improvements, workflow design
With Sales Leadership: Scoring model design, account prioritization strategy, rep productivity initiatives
With Marketing: Lead routing, attribution data, campaign-to-pipeline reporting
With the Head of RevOps: Roadmap prioritization, strategic initiatives, vendor evaluation
What We're Looking For
Must-Haves
- 3-5+ years in Revenue Operations, Sales Operations, Marketing Operations, or a GTM Systems role at a B2B SaaS company
- Strong technical skills: You can write SQL, build complex workflows, and aren't intimidated by APIs. You've done hands-on work in CRM administration (HubSpot strongly preferred, Salesforce acceptable)
- Data architecture/Integration experience: You've designed or significantly improved a CRM data model. You've connected multiple systems (CRM, enrichment tools, marketing automation, data warehouse) and understand how data flows across a tech stack
- Analytical mindset: You make decisions based on data, can interpret conversion metrics, and know how to measure whether something is working
Nice-to-Haves
- Experience implementing AI/automation tools in a GTM context (n8n, Zapier, Clay, etc.)
- Familiarity with data enrichment vendors (Clearbit, ZoomInfo, Apollo, etc.) and intent data providers (Bombora, G2, 6sense, etc.)
- Python or other scripting experience for data manipulation
- Experience with BI tools (Looker, Tableau, Mode) or data warehouses (Snowflake, BigQuery)
Who You Are
- Builder mentality: You'd rather create a scalable system than do the same manual task twice
- Curious about AI: You're excited (not anxious) about how AI is changing GTM—and you want to be the person figuring out how to use it
- Strong communicator: You can explain technical concepts to non-technical stakeholders and translate business requirements into system design
- Ownership-oriented: You don't wait to be told what to do. You see a gap, propose a solution, and drive it forward
- Collaborative: You know that the best systems are built in partnership with the people who use them
