You will shape the leadership structure, operating practices, and technical culture across AI engineering and deployment engineering.
What You'll DoScale the engineering organization from an early-stage team to 100 or more people while maintaining strong execution.
Hire and develop engineering leaders, and establish structures for effective collaboration across a globally distributed team.
Set planning rhythms, prioritization frameworks, hiring standards, onboarding practices, and performance expectations.
Represent engineering capabilities in discussions with customers, partners, and the broader technical community.
Partner with company leadership on organizational strategy, headcount planning, and product and go-to-market decisions.
What We're Looking ForAt least 5 years of engineering leadership experience, including direct accountability for hiring, team structure, and leadership development while scaling an organization from approximately 25 to 100 or more people.
Experience leading globally distributed teams and coordinating across regions in a startup or high-growth environment.
Technical judgment across AI engineering and deployment or production infrastructure, including experience spanning AI research, applied machine learning, and production deployment.
Experience at a fast-growing company beyond Series B and familiarity with the organizational challenges of scaling.
Strong public-facing technical communication.
Visa sponsorship is not available.
LocationHybrid in London, United Kingdom, with in-person work four days per week and one remote day on Tuesday or Friday.
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