Marketing Ops Manager

Summary

Instrumentl is a profitable SaaS platform serving grant-funded organizations. The Marketing Ops Manager will own the technical infrastructure for the marketing engine, including CRM data architecture, integrations, AI tooling, automation, reporting, analytics, and collaboration across Marketing, Sales, and Customer Success.

Responsibilities

• Own and maintain our marketing data model in HubSpot, 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 HubSpot
• Build and refine lead scoring and segmentation models based on conversion data and PMM feedback
• 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 Marketing team on adoption of new tools
• Stay current on emerging AI/automation capabilities and bring a POV on what to test next
• Build and maintain dashboards providing visibility into funnel health, channel performance, campaign ROI, event ROI, and signup-to-activation conversion. Bring a point of view on what the data is telling us
• Own the lead tracking and management funnel across channels (SEO, SEM, Social, AOE, events, etc.)
• Enable downstream optimization and experimentation, including A/B testing, performance modeling, and forecasting
• Document metric definitions, scoring logic, and attribution methodologies to ensure transparency across Marketing and GTM teams
• Partner with Growth Product and Marketing to define launch KPIs and stand up dashboards that give Marketing, Sales, and CS shared visibility
• Own integrations across the martech stack beyond HubSpot (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

Skills

• 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 in Hubspot
• 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
• 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 marketing 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 whether that's a PMM, an Events Manager, or a Growth Product engineer
• 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 or data warehouses

Qualifications

Must Haves

• 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 in Hubspot
• 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
• 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 marketing 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 whether that's a PMM, an Events Manager, or a Growth Product engineer

Nice to Haves

• 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 or data warehouses

Benefits

• Quarterly performance bonus (10–15% of base)
• Equity
• 100% covered health, dental, and vision insurance for employees (50% for dependents)
• Generous PTO, including parental leave
• 401(k)
• Company laptop and home-office stipend
• Bi-annual company retreats