GTM Strategy & Capacity Planning Lead

Showcify, Inc.; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Fireworks AI seeks a GTM Planning Lead reporting to the Head of Sales Strategy & Analytics. The role translates GTM strategy into capacity plans, territories, quotas, and incentive design to drive direct and partner motions.

You will model capacity needs, forecast GPU demand, and design target settings across Sales, Field Engineering and CS to enable global expansion and revenue predictability. Experience with usage-based/hybrid models and strong financial modeling are a plus.

Qualifications

• 6+ years in GTM planning, quota setting, and/or productivity-related revenue operations work streams.
• Significant experience in go-to-market design & sales planning.
• Significant experience interacting with C-suite Executives and Leaders at VP level and below.
• Advanced analytical and financial modeling skills with the ability to drive high value insights.
• BA/BS degree in engineering, accounting, finance, economics or other quantitative fields 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 CS.
• Develop target-setting methodologies grounded in market opportunity and performance.
• Model capacity needs, ramp assumptions, productivity, and hiring for annual and long-range planning.
• Establish planning frameworks to monitor capacity, quota attainment, and productivity.
• Forecast GPU demand in alignment with GPU management.

Skills

GTM planning

Quota setting

Revenue operations

Financial modeling

Executive communication

Education

BA/BS degree

Tools

CRM systems

Billing tools

Job description

Fireworks AI seeks a GTM Planning Lead reporting to the Head of Sales Strategy & Analytics. The role translates GTM strategy into capacity plans, territories, quotas, and incentive design to drive direct and partner motions.

You will model capacity needs, forecast GPU demand, and design target settings across Sales, Field Engineering and CS to enable global expansion and revenue predictability. Experience with usage-based/hybrid models and strong financial modeling are a plus.