Skills this job asks for
Risk managementLeadershipMachine learningCommunication
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Sponsorship verdict
Posting rules out sponsorship
The posting rules out sponsorship or requires citizenship or security clearance.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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✕
The posting says it won’t sponsorIts own wording says sponsorship is unavailable.
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Can’t check pay against the visa rulesPay is stated in USD; the UK Skilled Worker visa threshold is set in GBP.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- Pay is stated in USD; the UK Skilled Worker visa threshold is set in GBP. Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Likely skip
The posting states sponsorship is unavailable. Applying is unlikely to lead anywhere if you need sponsorship.
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About the role
About the Role
A Series A AI risk management company is hiring a Director of Engineering to lead and scale its engineering organization. You will shape the leadership structure, operating practices, and technical culture across AI engineering and deployment engineering.
What You'll Do
• Scale 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 For
• At 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 skills and a degree from a highly regarded institution or equivalent professional experience.
Compensation & Benefits
Base salary: $325,000 to $365,000 USD annually. Visa sponsorship is not available.
Location
Hybrid in London, United Kingdom, with in-person work four days per week and one remote day on Tuesday or Friday.
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