Apply on Employer Site

Fellow - AI Meeting Assistant · 3 months ago

Sr Growth Marketing Operations Manager

United States

Full-time

Remote

Senior Level

Fellow is an AI Meeting Assistant company on a mission to enhance productivity through AI-powered solutions. They are seeking a Growth Marketing Operations Manager to optimize marketing activities, improve revenue processes, and provide actionable insights to the Go-to-Market team.

AppsArtificial Intelligence (AI)CollaborationMeeting SoftwareProductivity ToolsSoftware

Growth Opportunities

Responsibilities

Spot opportunities across acquisition, conversion, and lifecycle flows — then instrument and scale what works

Partner with marketing, sales, and product to drive faster funnel velocity, higher conversion, and stronger ROI

Build growth playbooks from tests and rollouts (landing pages, campaigns, paid audiences, lifecycle workflows)

Own the GTM truth set across HubSpot, Intercom, Heap, Pocus, RevenueHero, and paid platforms

Keep attribution, tracking, and routing rock-solid so we can scale spend with confidence

Ensure the marketing database is clean, segmented, and ready for precise targeting and personalization

Deliver clear weekly/monthly insights with specific recommendations (shift budget, scale a channel, kill what’s not working)

Make it easy for the GTM team to act on data by building dashboards people actually use

Run the testing roadmap: design, measure, and quantify lift on CAC, payback, conversion, and pipeline

Audit and improve conversion tracking across paid and lifecycle channels

Support campaign setup (pixels, tags, events, field mapping) while proactively flagging blockers before launch

Optimize data flow between tools and revenue systems

Qualification

HeapSQLGoogle AdsAI proficiencyCustomer data platformsIndependent problem-solverBias to measureClear communication

Required

Minimum experience: Mid-level

Experience with Heap or similar analytics platforms (events, funnels, cohorts) to connect product behavior to acquisition/lifecycle outcomes

Proficient in SQL and comfortable querying/joining data across sources to validate tracking, build reusable datasets, and power self-serve reporting

Paid platforms (Google Ads, LinkedIn, Meta) and conversion tracking fundamentals

UTM governance, pixels/tags, and analytics setup; familiarity with data integration and APIs

Demonstrated AI proficiency. Hands-on experience building with AI dev tools like Cursor

Hands-on experience with customer data platforms (e.g., Rudderstack, Segment) to manage event tracking, data pipelines, and attribution flows across the GTM stack

Independent problem-solver; precise and organized

Communicates clearly with marketers, sellers, and technical partners

Bias to measure, simplify, and ship