Revenue Operations Leader, Strategy & Planning (Remote - US only)
Candidates must be based in the US. A growth-stage enterprise software company selling to large B2B customers is building a new strategy and systems team under the CEO's office to bring revenue operations, analytics, go-to-market applications and go-to-market engineering under one leader. This role owns the planning and performance-management foundation for the go-to-market organization. The company has set an ambitious revenue target and wants to grow its go-to-market function efficiently rather than simply adding cost as revenue rises.
What you'll do
- Own annual go-to-market planning across capacity, sales territories, quotas and incentive-plan design, and build scenario models that show tradeoffs and assumptions to sales and finance leaders.
- Set up a disciplined forecasting approach and measure performance against plan across pipeline, productivity, bookings, retention and expansion.
- Turn performance trends into clear recommendations on risks and opportunities for senior leadership.
- Define and maintain cross-functional KPIs so finance, sales, marketing and customer success use consistent metrics and definitions.
- Find gaps in reporting, measurement and assumptions, and work with stakeholders to fix them and document agreed standards.
- Build AI-enabled and automated workflows that streamline recurring analysis and make business insights easier to access.
What you need
- 8 to 15+ years in revenue operations, sales strategy, go-to-market finance or a similar analytical role in B2B SaaS.
- Direct experience owning annual go-to-market planning, including quotas, territories and compensation design, and defending assumptions with CRO- and CFO-level leaders.
- Strong command of forecasting, funnel economics and SaaS growth metrics, with hands-on analysis of pipeline, bookings and customer data.
- Experience with marketing-to-sales handoff metrics, funnel-stage definitions, conversion rates and lead routing.
- Experience building or shaping segmentation, scoring or attribution models, and assessing the quality of inputs and outputs.
- Experience building or deploying AI or agentic workflows that expand analytical capacity or improve decisions.
Applicants must be based in: United States.
How to apply
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