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About the Role

The Senior Director of Product & Engineering, EMEA will lead all EMEA field technical functions, setting the regional technical strategy and ensuring teams are motivated and equipped to succeed. This role involves turning customer and business priorities into a disciplined technical operating model to accelerate adoption of CoreWeave’s AI Cloud platform and ensuring product strategy is assimilated across field teams.

Responsibilities

Set and execute the EMEA Field Product & Engineering strategy, operating model, and priorities.
Act as the senior field technology voice for EMEA, shaping go-to-market priorities and customer engagement models.
Lead the account-aligned technical organization, managing organization design, performance, coaching, and hiring.
Provide matrix leadership to specialist technical teams, aligning priorities and engagement standards.
Build a measurable technical mastery system for AI infrastructure, compute, Kubernetes, networking, storage, security, observability, and AI/ML workloads.
Create repeatable engagement mechanisms to guide customers through the adoption lifecycle on CoreWeave’s AI Cloud platform.
Serve as executive technical sponsor and escalation leader for strategic customers.
Partner with EMEA sales leadership on account strategy and resource allocation.
Establish a rigorous regional operating cadence for performance and investment decisions.
Create a structured feedback loop from EMEA customers and field teams into Product and Engineering.
Represent CoreWeave’s technology vision through executive briefings and customer forums.
Represent EMEA in global Field Engineering leadership and scale regional best practices.

Requirements

15+ years of experience in technical design, implementation, consulting, pre-sales, solutions architecture, or a similar customer-facing technical discipline within cloud infrastructure, AI/ML platforms, enterprise software, or adjacent markets.
10+ years of technical leadership experience, including 7+ years leading managers, senior individual contributors, or multi-country Field Engineering, Solutions Architecture, Sales Engineering, or comparable customer-facing technical organizations.
Proven record of leading distributed technical organizations through rapid growth, transformation, and changing market conditions.
Strong technical credibility in cloud-native and distributed-systems architecture, with depth across accelerated compute, Kubernetes, networking, storage, security, observability, data platforms, or AI/ML workload architecture.
Demonstrated success guiding complex enterprise customers from strategy and solution design through production deployment and expansion.
Experience advising C-suite and senior technical stakeholders, translating complex architecture into business value.
Experience supporting complex enterprise sales cycles and connecting technical strategy to pipeline, wins, and customer adoption.
Proven record of hiring, developing, and retaining technical leaders and building enablement programs.
Experience operating a metrics-based field organization, including goals, forecasting, and performance inspection.
Demonstrated ability to align Sales, Customer Success, Product, Engineering, Support, Operations, and global leaders.
Experience operating across EMEA markets, with the ability to travel regionally and internationally.
Leadership experience in a high-growth AI cloud, hyperscale cloud, data-center infrastructure, enterprise platform, or developer-platform business.
Deep familiarity with GPU-accelerated computing, large-scale AI training or inference, and high-performance computing.
Experience navigating EMEA-specific customer requirements, including data sovereignty and security.
Experience establishing specialist communities of practice or centers of excellence.
A bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.

Skills

AI infrastructure
Compute
Kubernetes
Networking
Storage
Security
Observability
AI/ML workloads
Cloud-native architecture
Distributed-systems architecture
Accelerated compute
Data platforms
GPU-accelerated computing
Large-scale AI training
AI inference
High-performance computing

Location

EMEA

Work Type

Full-time

Experience Level

15+ years of experience in technical design, implementation, consulting, pre-sales, solutions architecture, or a similar customer-facing technical discipline
10+ years of technical leadership experience
7+ years leading managers, senior individual contributors, or multi-country Field Engineering, Solutions Architecture, Sales Engineering, or comparable customer-facing technical organizations

Education Level

Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience

Benefits

Family-level Medical Insurance
Family-level Dental Insurance
Generous Pension Contribution
Life Assurance at 4x Salary
Critical Illness Cover
Employee Assistance Programme
Tuition Reimbursement
Work culture focused on innovative disruption

About the Company

The Essential Cloud for AI™, built for pioneers by pioneers, delivering a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.
Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs.
Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.
Proud to be a Living Wage accredited Employer.
Work culture focused on innovative disruption.
Support and encourage an entrepreneurial outlook and independent thinking.
Foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.
Growth opportunities are constantly expanding.
Surrounded by some of the best talent in the industry.

Equal Opportunity

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.