Instrumentl - Revenue Systems Manager
Requirements
• 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 the Revenue Operations Manager: • With Sales Leadership: Scoring model design, account prioritization strategy, rep productivity initiatives • With Sales Leadership: • With Marketing: Lead routing, attribution data, campaign-to-pipeline reporting • With Marketing: • With the Head of RevOps: Roadmap prioritization, strategic initiatives, vendor evaluation • With the Head of RevOps: • Must-Haves • 3-5+ years in Revenue Operations, Sales Operations, Marketing Operations, or a GTM Systems role at a B2B SaaS company • 3-5+ years in Revenue Operations, Sales Operations, Marketing Operations, or a GTM Systems role • 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 • Data architecture/Integration experience: • Analytical mindset: You make decisions based on data, can interpret conversion metrics, and know how to measure whether something is working • Analytical mindset: • 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) • Builder mentality: You'd rather create a scalable system than do the same manual task twice • Builder mentality: • 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
Responsibilities
• Maintain our CRM data model in HubSpot. • Build and maintain data pipelines that connect external sources 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. • Evaluate, implement, and optimize AI tools to enhance sales productivity. • Build automated workflows that reduce manual work for reps (e.g., enrichment on inbound). • Partner with the Revenue Operations Manager on change management of new tools. • Stay current on emerging AI/automation capabilities and bring a POV on what to test next. • Build dashboards and reports that provide visibility into pipeline health, conversion rates, and GTM performance. • Document metric definition, scoring logic, and other methodologies for transparency in the organization.
Benefits
• For US-based candidates, our target salary band is $120,000 – $170,000 USD + equity. Salary decisions consider experience, location, and technical depth. • $120,000 – $170,000 USD + equity • 100% covered health, dental, and vision insurance for employees (50% for dependents) • Generous PTO, including parental leave • Company laptop and home-office stipend • Bi-Annual Company Retreats for in-person collaboration • Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here.
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