Responsibilities
- Own and maintain the 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 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 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
- Build and maintain dashboards providing visibility into funnel health, channel performance, campaign ROI, event ROI, and signup-to-activation conversion
- 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
Requirements
- 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 (HubSpot 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 or data warehouses
Compensation & Benefits
For US-based candidates, the target salary range for this role is $130,000–$155,000 base + quarterly performance bonus (10–15% of base) plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. Benefits include 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, and bi-annual company retreats.
Equal Opportunity Employer
Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply.
AI in Hiring
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Additional Information
- 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
- Company is committed to paying competitively and equitably
- Final hiring decisions are ultimately made by humans, though AI tools may assist in reviewing applications, analyzing resumes, or assessing responses
- If you need a reasonable accommodation during the application or interview process, please let us know