Little more about the team:

As we continue to strengthen alignment across our go-to-market teams, we're focused on building a more connected approach to how we measure, analyze, and forecast performance across the full customer journey, from the first website visit through sales engagement to closed-won revenue. This new role, within our Revenue Operations team, will help bring that vision to life by creating a clear, shared view of the funnel that marketing, sales, customer success, and leadership can use to make more informed decisions. As a new role, you'll have the opportunity to shape how we work, partnering closely with marketing, RevOps, and the broader revenue organization to improve visibility, forecasting, and accountability across the business.

What you’ll do in the role:

• Build full-funnel reporting that connects marketing activity in tools like HubSpot to opportunities and closed-won business in Salesforce, and make it visible to executives and teams across the organization
• Work with marketing and sales to define and document how attribution works, including what “influenced” versus “marketing-sourced” means and how leads are tagged as marketing-led, sales-led, or SDR-led
• Partner with marketing on lead scoring and how leads flow into Salesforce
• Improve how we measure campaign ROI so teams can see what worked, double down, and shift spend away from what didn’t
• Work with marketing and go-to-market teams to agree on shared metric definitions, and publish them as a single source of truth
• Build reports and dashboards with AI tools, refine them with stakeholder feedback, and publish final versions to our BI tool on a regular refresh schedule
• Dig into the data, including with AI, to surface patterns and insights nobody has asked about yet

What you’ll bring to the role:

• About 3 to 5 years of experience, ideally in marketing, revenue operations, or a multi-hat go-to-market role
• Strong analytical skills, with hands-on experience in Excel and BI tools
• Working knowledge of marketing concepts and terms, such as MQLs
• The interpersonal skills to negotiate shared definitions across teams with different perspectives
• Curiosity about AI and how to use it in your analysis
• Experience in a SaaS environment
• Bonus: the ability to read SQL (writing it is not required)