Marketing Operations Lead
About the role
This is a chance to rebuild marketing ops from first principles, designed around what AI makes possible.
We need a clearer perspective on where to invest marketing dollars and why. This role exists to build that clarity. You'll own the marketing tech stack, full-funnel reporting, and market intelligence insights that guide where dollars go. You'll be the natural partner to marketers running experiments: the source of truth who provides data backing and builds the instrumentation (dashboards, signals, measurement systems) that tells us what's working and what we're missing.
This role requires wide altitude coverage: executive-level strategy partnership and hands-on technical execution. You'll sit at the intersection of marketing, sales, and executive leadership. You’ll frame what the numbers mean and what we should do about them. Hands-on execution is required because the person making strategic recommendations is the same person who understands exactly how the data is built, where it breaks, and what it can't tell you. The right candidate is comfortable moving between these modes daily.
Responsibilities
- Own the marketing tech stack and roadmap, evaluating new tools and replacing what isn't working as the function evolves.
- Serve as the source of truth on marketing performance, building dashboards and measurement systems that surface what's working and what's not.
- Translate performance data into executive-ready narratives that enable confident investment decisions.
- Reimagine marketing ops for where the function is going, using AI-native workflows and novel instrumentation rather than standard playbooks.
- Develop market intelligence that informs strategy and tactics, using internal data, public filings (Form D / ADV), and competitive analysis to identify growth opportunities and advise on market positioning.
Requirements
- You've owned the build or rebuild of marketing ops systems and tooling and personally ship dashboards, integrations, and workflows. Vendor evaluation & implementation experience is required, but we care more about your instinct for what to measure and why.
- You're both analytical and creative. You can look at a funnel and see what's missing, work with messy data, and turn it into defensible insights that guide executive decisions.
- You operate across wide altitude without friction; e.g. investment strategy at 9am, attribution debugging at 12pm, vendor negotiations at 3pm. You’re motivated by solving problems rather than managing teams.
- You have deep enthusiasm for what AI unlocks for this function, strong judgment, and bias to action for implementing ideas about what to build first.