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Workstream is a Series B, high-growth HR, payroll, and hiring platform purpose-built for the hourly workforce. The company serves 2.7 billion hourly workers globally and counts major brands like Burger King, KFC, IHOP, and Culvers among its customers. Backed by Founders Fund, BOND, and Coatue, Workstream is rapidly expanding its product portfolio.
The Revenue Operations Manager role reports to the Head of Finance and is central to compounding ARR by shaping and operationalizing Go-To-Market strategy. You will partner with another RevOps Manager and cross-functional leadership to own the entire lifecycle of revenue processes—from lead handoff through customer retention—ensuring leaders have the data to make decisions, no information is lost, and GTM teams have the tools and resources to succeed.
Key responsibilities include:
Process Optimization & Change Management: Act as project manager for cross-functional revenue initiatives across Marketing, Sales, and Customer Success. Identify bottlenecks in the lead-to-cash process to increase ARR and reduce revenue leakage. Standardize workflows across GTM teams to reduce overhead and build consistent expectations.
Data Analytics & Internal Engineering: Build dashboards and ad-hoc analyses quickly, leveraging AI assistance. Partner with the Data team on data governance and establish a metric dictionary enabling GTM teams to build accurate dashboards independently. Architect and build internal automation and tooling solutions using Claude Code to reduce administrative tasks, working with GTM Engineering to deploy custom-built tools.
Strategic Alignment & AI Acceleration: Serve as a proactive thought partner to GTM leadership, providing timely, data-driven insights. Champion an AI-first operating model across the GTM organization. Assist in GTM enablement, teaching managers and team members how to leverage AI tools to unlock productivity and eliminate low-value admin work.
This is a full-time, office-based role requiring presence up to 5 days per week to foster close collaboration with cross-functional teams. The ideal candidate is AI-first, process-oriented, and comfortable generating insights that drive decisions while designing scalable processes.
