RevOps Manager

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Most Rev Ops roles are reactive, cleaning up dashboards, updating reports, chasing inputs. This isn’t that. At Vibe, we’re building AI hardware that gives teams a memory advantage, turning human recall into a company-wide operating system. To do that, we need someone who can make our revenue data move in real time, not once a week. You’ll be the operational heartbeat of our go-to-market engine, combining systems thinking, analytics, and execution in one high-impact role.

Vibe helps organizations remember everything that matters. Our AI hardware captures, organizes, and recalls the moments, insights, and knowledge that drive business velocity. We operate at the intersection of AI, robotics, and human performance, building the infrastructure that turns information into institutional memory. We’re a Series A company moving fast, combining data science, engineering, and go-to-market excellence to scale something category-defining.

You’ll design and own the systems that make our revenue motion measurable, predictable, and scalable. This is a hands‑on role for a builder who loves the intersection of GTM strategy, analytics, and data engineering. You’ll manage our Rev Stack (Hub Spot, Looker, Mixpanel, Aircall, and Revenue Hero) and work closely with our overseas data team to operationalize ETL processes and live data environments.

When something breaks, you don’t wait – you dive in, debug it, and make it better.

30 Days: Develop a complete understanding of our tools, database structure, and data pipelines. Build a strong working relationship with our overseas data team. Within one week, be able to execute basic analytics and campaign tasks for the revenue team.

60 Days: Fully document and analyze our Rev Stack, identify all data gaps, inefficiencies, and inconsistencies. Propose and align on a roadmap to fix them. Begin implementing automation, reporting, and live data integrations.

90 Days: Take full ownership of the revenue data environment, from ingestion to insight delivery. Operate cross‑functionally with Sales, Marketing, and Product to surface insights and drive execution. Build strategic narratives from data that influence decisions at the executive level.

• Own the full GTM system stack (Hub Spot, Looker, Mixpanel, Aircall, Revenue Hero) and ensure seamless data flow between them
• Partner with the data team to maintain ETL pipelines and live data environments feeding our analytics layer
• Create and maintain dashboards that track revenue performance, funnel health, and conversion velocity
• Design and operationalize OKR tracking across GTM functions
• Identify data quality issues, implement controls, and continuously improve reporting accuracy
• Support campaign execution by making data instantly available to revenue teams
• Translate data into actionable recommendations and executive insights

• 2 to 4 years in Rev Ops, Sales Ops, or a data-driven GTM role at a B2B company
• Deep hands‑on experience with Hub Spot CRM, including workflows, automation, and reporting
• Familiarity with data lakes, ETL processes, and live data streaming for GTM analytics
• Strong proficiency in Looker and Mixpanel for reporting and behavioral analytics
• Comfortable working with SQL and data visualization tools
• Clear communicator who can translate technical complexity into actionable insights
• Operates with ownership, urgency, and curiosity

• OTE: $110,000 to $140,000 (80% base, 20% bonus tied to OKRs)
• Hybrid setup:
  Minimum 3 days per week in our Draper, Utah office for collaboration and iteration
• High‑velocity, data‑driven, founder‑led culture where clarity and execution matter most

You’ll be building the operational brain of a company redefining how humans and machines remember. You’ll work directly with executives who value precision, speed, and systems thinking. You’ll grow faster here than anywhere else not just in skill, but in scope and impact.

If you want to own a critical function inside a company at the intersection of AI hardware, data infrastructure, and go-to-market execution, this is your opportunity. Apply /careers or reach out directly to learn more about how we’re engineering memory for performance.