Head of GTM Field Strategy & Ops, EMEA (AI)

Location: Hybrid, London, United Kingdom; based in London or able to relocate

Compensation: £125K–£175K plus equity

Company

AI infrastructure platform enabling companies to build, train, and serve specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Act as a strategic thought partner to the Head of Sales, EMEA, and regional leadership on priorities, investments, and resource allocation.
• Translate EMEA growth objectives into quarterly priorities, market focus, account coverage, quotas, territories, and capacity plans.
• Lead weekly, monthly, and quarterly business reviews, including the weekly forecast call and pipeline council; inspect deals, pressure-test commits, surface risks, and explain forecast misses.
• Drive annual and in-year planning with Sales, Field Engineering, Finance, GTM Analytics, and Revenue Operations.
• Design territories, account assignments, coverage models, field organization structures, role mixes, pod models, and compensation plans across EMEA.
• Adapt global sales processes to local markets, resolve assignment and conflict issues, partner cross-functionally, and use AI and agentic tooling in daily work.

Requirements

• 10+ years in sales strategy and operations, field operations, consulting, or sales leadership, including experience partnering with 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.
• Credibility with senior sales leaders and the ability to influence without formal authority.
• Experience mentoring or developing others, with interest in building and leading a team over time.
• Strong analytical and financial modeling skills, with comfort using SQL or BI tools.
• Understanding of EMEA markets and experience operating across multiple countries, currencies, and regulations.
• BA/BS degree in a quantitative field preferred.

Nice to have

• 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, including solutions architects and field engineers, as well as partner, channel, and manager-override motions.
• Hands-on experience building workflows with AI or agentic tools.

Culture & Benefits

• Work in a fast-growing environment with direct ownership and impact.
• Collaborate with engineers and AI researchers on advanced AI infrastructure.
• Work on low-latency inference, scalable model serving, and technology used by businesses and developers.
• Equity included in the compensation package.
• Inclusive, equal-opportunity workplace committed to diversity.