GTM Planning Lead (AI Infrastructure)

GTM Planning Lead

Company

Fireworks AI

Conditions

5 days agoSalary: 250K - 300K

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will translate go-to-market strategy into capacity plans, territories, quotas, and incentive designs across direct and partner motions. You will lead annual planning, target setting, GPU-demand forecasting, and business-plan modeling automation. You will also develop auditable data processes and planning analytics to guide capacity, productivity, and in-year adjustments.

Requirements

• 6+ years of experience in GTM planning, quota setting, or productivity-related revenue operations
• Experience with go-to-market design and sales planning
• Experience interacting with C-suite executives and partnering with VP-level leaders
• Advanced analytical and financial modeling skills
• Experience with usage-based or hybrid commercial business models
• Bachelor's degree in engineering, accounting, finance, economics, or another quantitative field preferred
• Experience at an AI/ML infrastructure, developer tools, or API-first company preferred
• Familiarity with manager overrides, overlay roles, marketplace and channel nuances, and self-serve-to-sales-assisted conversions preferred

Responsibilities

• Design and drive the annual go-to-market planning process for the COO organization
• Lead GTM capacity planning and target setting across Sales, Field Engineering, and Customer Success
• Develop target-setting methodologies based on market opportunity, historical performance, and productivity expectations
• Partner with Finance and GTM leadership to model capacity, ramp assumptions, productivity, hiring requirements, and planning scenarios
• Establish planning frameworks and analytics for capacity, quota attainment, productivity, and in-year adjustments
• Design and manage the GPU-demand forecasting process and align with the GPU management team
• Build and own end-to-end processes and tooling to automate business-plan modeling
• Partner with Data Engineering and GTM Engineering to maintain reproducible, auditable source-of-truth data

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