Manager, Sales Strategy & Planning

What you'll do

• Own reporting infrastructure that sales leaders depend on to run the business. Build, maintain, and improve dashboards, data models, and recurring deliverables that serve as sources of truth across the sales org.
• Generate insights from pipeline, forecast, productivity, and revenue data. Synthesize findings into clear, actionable narratives for sales leadership — not just the numbers, but what they mean and what to do about them.
• Support the sales planning cycle end to end, including capacity modeling, territory design, quota allocation, and GTM strategy development.
• Drive the forecasting operating rhythm. Triangulate forecast calls with data and analytics, identify risks and upside, and help leadership sharpen accuracy over time.
• Apply AI tools and workflows to accelerate analysis, automate reporting, and surface insights that would be impractical to produce manually. Evaluate where AI adds real leverage and where it does not.
• Take ambiguous, high-priority requests from across the sales org and turn them into structured plans with clear deliverables. Flex across workstreams rather than operating in a single lane.
• Partner with cross-functional teams — Finance, Marketing, Product, and Revenue Operations — to align on shared metrics, planning inputs, and strategic priorities.

Who you are

• You have 5–7 years of experience in sales strategy, revenue operations, sales operations, or a related analytical function within a high-growth SaaS or technology company. Equivalent experience in strategy consulting or investment banking with a tech/SaaS focus also qualifies.
• You understand how a sales org works at a foundational level — pipeline mechanics, forecasting methodologies, territory design, and core GTM metrics are concepts you can operate on immediately, not ones you need to learn on the job.
• You are deeply analytical. You can build models, interrogate data, and draw conclusions that hold up under scrutiny. You bring rigor and precision to everything from ad hoc analysis to recurring business reporting.
• You are fluent in AI as a working tool. You use AI assistants, prompting techniques, and agent-based workflows in your day-to-day work — not experimentally, but as a core part of how you operate.