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Fireworks AI

AI inference platform for model deployment

Head of GTM Strategy and Planning

Sales OperationsConfirmed live in the last 24 hours
Full-time$250k - $300k /yrHybrid

About the Job

Requirements

  • At least 9 years of experience in GTM planning, quota setting, and/or productivity-related revenue operations at a high-growth company, including ownership of a plan presented to a board or CFO.
  • Significant experience in relevant fields and a comprehensive understanding of go-to-market design and sales planning, including territory design and incentive compensation.
  • Significant experience interacting with C-suite executives and closely partnering with leaders at the VP level and below.
  • Advanced analytical and financial modeling skills, with the ability to drive high-value insights.
  • Hands-on experience planning a consumption-based or hybrid commit-plus-usage business.
  • SQL and business intelligence fluency, and experience with a planning or forecasting platform such as Anaplan, Clari, or Xactly.

Responsibilities

  • Design and drive the annual Go-To-Market planning process for the COO organization.
  • Lead GTM capacity planning and target-setting, translating growth targets into coverage, headcount, and productivity plans across Sales, Field Engineering, and Customer Success.
  • Develop and evolve target-setting methodologies, grounding targets in market opportunity, historical performance, and productivity expectations.
  • Partner with Finance and GTM leadership to model capacity needs, ramp assumptions, productivity, and hiring requirements for annual and long-range planning, including scenario models that show tradeoffs between headcount, pipeline, compute supply, productivity, and revenue before decisions are made.
  • Establish planning frameworks and analytics to monitor capacity, quota attainment, and productivity and inform in-year adjustments.
  • Design and manage the process to forecast GPU demand and ensure alignment with the GPU management team.
  • Own market sizing, segmentation, and account tiering, and design territories and account assignment annually and in-year.
  • Partner with Sales, Finance, and Partnerships leadership on route-to-market and channel/partner coverage strategy.
  • Co-design the compensation plan with Sales leadership, Finance, and the compensation design team.
  • Run the planning cadence, including pipeline-coverage inspection, QBR inputs, and in-year re-forecasting and plan changes.
  • Diagnose attainment and productivity gaps across ramp, coverage, pipeline, and consumption, and recommend actions.
  • Build and own a native end-to-end process and tooling for automation of business plan modeling.
  • Partner with Data Engineering and GTM Engineering on source-of-truth data for CRM, billing/usage, and roster/quotas so calculations are reproducible and auditable.
  • Publish the annual plan in conjunction with GTM leadership and Finance, deliver territories and quotas on schedule, and run attainment diagnostics on a regular cadence.

Desired Qualifications

  • Experience at an AI/ML infrastructure, developer tools, or API-first company.
  • Familiarity with manager overrides, overlay roles such as sales architects/field engineers, marketplace/channel nuances, and self-serve to sales-assisted conversions.
  • Experience scaling a GTM organization through hypergrowth.
  • Background in investment banking, finance, or management consulting.

About the Company

Fireworks AI

AI inference platform for model deployment

Fireworks AI provides an AI inference platform that helps organizations run, customize, and deploy machine learning models. It supports deployment, fine-tuning, and inference workflows, with access to open-source models and on-demand deployment options through a subscription model. The platform enables users to configure and optimize models for production environments, manage variants, and scale AI workloads while controlling costs. Unlike some competitors, the emphasis is on end-to-end production-grade inference and fine-tuning across a range of clients, from tech firms to research institutions and enterprises, with tools tailored for rapid deployment and cost efficiency. The long-term goal is to expand the use of AI in production by building compound AI systems, growing the team, and delivering broader platform capabilities that accelerate AI adoption in real-world settings.

Company size
201-500
Company stage
Series D
Total funding
$1.8B
Headquarters
Redwood City, CA
Founded
2022

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