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Fireworks AI

AI inference platform for model deployment

Head of GTM Field Strategy and Ops

Sales OperationsConfirmed live in the last 24 hours
Full-timeLondon, UK£125k - £175k /yr

About the Job

Requirements

  • At least 10 years in sales strategy and operations, field operations, consulting, or sales leadership, including experience as a business partner to a regional or segment sales leader.
  • Hands-on experience setting quotas, designing territories, and leading planning for a field organization.
  • Experience running forecast calls and pipeline reviews, with a record of improving forecast accuracy.
  • Experience designing or scaling sales and field organizations.
  • Experience mentoring or developing others, and interest in building and leading a team over time.
  • Strong analytical and financial modeling skills, with comfort in SQL or business intelligence tools.
  • Understanding of EMEA markets and experience operating across multiple countries, currencies, and regulations.
  • Based in London or able to relocate.

Responsibilities

  • Act as a strategic thought partner to the Head of Sales, EMEA, and the leadership team on where to focus, where to invest, and what to stop.
  • Translate EMEA growth objectives into quarterly priorities, market focus, account coverage, and resource allocation.
  • Lead weekly, monthly, and quarterly business reviews for EMEA, with clear decisions, owners, and deadlines.
  • Adapt global sales processes and rules of engagement to EMEA in line with global standards.
  • Run the EMEA weekly forecast call and pipeline council, inspecting deals, pressure-testing commits, and surfacing risk early.
  • Own forecast accuracy and pipeline coverage for the region, and explain misses.
  • Work with GTM Analytics and Revenue Operations to keep the data and tooling behind the cadence accurate and fast.
  • Drive EMEA annual and in-year planning with Sales leadership, Field Engineering leadership, and Finance.
  • Set and recommend quotas in alignment with Sales and Field Engineering leaders, using market opportunity, seller capacity, ramp, and historical performance.
  • Model capacity and hiring needs, including tradeoffs between headcount, pipeline, and productivity.
  • Design and carve territories and account assignments across EMEA, and run recarves as the region grows.
  • Own assignment, holdover, and conflict-resolution policies with frontline managers.
  • Balance coverage across segments, countries, and routes to market, including partners.
  • Design the EMEA field organization, including team structure, spans of control, role mix, and pod models across sellers, Field Engineering, and development.
  • Work with Incentive Strategy and Finance on EMEA compensation plans, including local considerations.
  • Partner with People, Legal, and Finance on the operational steps of building a regional organization.
  • As EMEA scales, hire and develop the first members of a regional team as the role grows into people management.
  • Partner with Product, Marketing, Partnerships, and Field Engineering so EMEA priorities are heard and consistently planned for.
  • Use AI and agentic tooling in everyday work, and help the field use it too.

Desired Qualifications

  • Experience at an AI/ML infrastructure, developer tools, or API-first company.
  • Experience with usage-based or hybrid commit-plus-usage revenue models.
  • Experience building a region or function through hypergrowth.
  • Familiarity with overlay roles such as solutions architects and field engineers, partner and channel motions, and manager overrides.
  • Hands-on experience building workflows with AI or agentic tools.
  • A BA/BS degree in a quantitative field.

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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