3 часа назад
Delivery Manager (AI Safety)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Delivery Manager (AI Safety): Owning the end-to-end delivery of high-impact AI safety projects, including frontier model evaluations, red teaming, and safeguard testing, with an accent on client delivery, technical collaboration, and responsible AI implementation. Focus on translating AI safety research into actionable solutions, advising government and public-sector clients, and managing complex projects with frontier labs.
Location: London, United Kingdom; hybrid work
Company
develops and deploys responsible AI solutions for government, finance, retail, energy, life sciences, and defence clients.
What you will do
- Own end-to-end delivery of customer projects, from initial scoping through final implementation and end-user adoption.
- Collaborate with customers, data scientists, and technical teams to design AI safety solutions.
- Manage frontier model evaluations, AI red teaming, and safeguard testing with partners including OpenAI and Anthropic.
- Build trusted relationships with government, public-sector, and technology customers.
- Develop proposals and grow AI safety and governance work across multiple sectors.
- Advise clients on AI safety strategy and technical implementation while mentoring peers and improving delivery practices.
Requirements
- Passion for applied AI safety, potentially gained through work in AI labs, academia, evaluation, or red teaming.
- Professional services experience, ideally in consulting, technology, or data.
- Experience delivering technical projects, ideally involving AI.
- Strong written and verbal communication skills, including senior stakeholder management.
- Practical problem-solving skills and ownership of successful project delivery.
Culture & Benefits
- Work on high-impact AI safety and national security projects supporting global stability.
- Collaborate with government organisations, major technology companies, frontier labs, and specialist data scientists.
- Inclusive workplace that values diversity of thought and measurable positive impact.
- Part-time hours may be discussed.
- AI tools may be used for research and interview preparation but not to generate answers during live interviews; interview AI note-taking can be disabled on request.
Hiring process
- Talent Team screen: 30 minutes.
- Introduction interview: 60 minutes.
- Case study interview: 60 minutes.
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