Director, Revenue Strategy & Analytics
Own GTM operating model, territory design, forecasting, and sales process for a high-growth AI infrastructure company. Lead strategy and analytics with direct reports and executive visibility.
What You'll Own
1. GTM Operating Model and Territory/ROE Design
Own how the GTM organization is structured to win: segment coverage, territory design, rules of engagement across GTM and Product, and quota-setting philosophy. Translate annual targets into territory plans that give every rep a fair book and every segment the right level of coverage. Revisit and adjust as the business evolves.
2. Revenue and GPU Forecasting
Build and own the forecasting process across bookings, renewals, and consumption in partnership with Finance, Sales, and Data. Establish a methodology that works for a business where committed ARR and consumption expansion behave differently. Deliver forecasts leadership can trust, with clear variance explanation and recommended actions.
3. Business Partnership and Operating Cadence
Run the QBR, WBR, and planning forums that keep the GTM organization aligned, accountable, and moving. Design the cadence, own the agenda, and make sure the output is decisions and actions, not status updates. Act as a strategic advisor to GTM leaders, surfacing pipeline risk and growth opportunity before it shows up in results.
4. Sales Process into Repeatable Motions
Define and execute a consistent sales process across account planning, territory planning, and pipeline generation. Turn what works into a playbook. Instrument it so performance is visible, coaching is targeted, and the team gets better over time.
Minimum Qualifications
- 10+ years in Revenue Strategy, Sales Strategy, Sales Operations, or Revenue Operations at B2B companies
- Has owned an end-to-end forecasting process, not just contributed to one
- Has designed territory and quota models at scale
- Has built and led a team with direct reports across strategy or analytics functions
- Strong analytical foundation: can build a model from scratch, not just interpret one
Preferred Qualifications
- Experience at a usage-based, consumption, or API-first company
- Has run strategy and operations across both enterprise and PLG/product-led motions simultaneously
- Comfortable presenting to CFO, board, and executive team with well-reasoned variance analysis
- Has worked at an AI/ML infrastructure, developer tools, or high-growth technical B2B company
Compensation
Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
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