Delivery Manager (Safety) in London

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all.

As a Delivery Manager within our AI Safety team, you’ll own the end-to-end success of high-impact AI projects for our clients focusing on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space. You will be the crucial link between our customers and our dedicated data scientists to translate cutting edge AI safety research into actionable changes as well as model red teaming and safeguard testing with labs like OpenAI and Anthropic into strategic, impactful solutions.

What you'll be doing:

• Owning the end-to-end delivery of customer projects, from initial scoping to final implementation
• Collaborating with technical teams, and customers, to design innovative AI solutions that solve their challenges and leverage opportunities
• Managing project development and ensuring a delivery approach that provides maximum value to the customer
• Forming strong, trusting relationships with customers, internal safety data scientists, and technical partners, including frontier labs.
• Developing and executing compelling proposals to grow our AI safety and governance work across a wide range of sectors.
• Advising clients on AI safety strategy and technical implementation, acting as a trusted partner and consultant.
• Developing and mentoring your peers’ taking a proactive role in building good processes and practices

Who we're looking for:

• You bring a passion for Applied AI safety, possibly from your experience within labs, academia, or evaluation/red teaming roles.
• You have previous experience in professional services, ideally from a consulting, technology, or data background
• You take full responsibility for the successful delivery of your projects, from initial scoping to end-user adoption
• You are an exceptional communicator, with outstanding written and verbal skills, and experience managing senior stakeholders
• You are comfortable working with technical teams and have experience delivering technical projects, ideally in AI
• You are a practical problem-solver, identifying potential issues and proactively implementing solutions

The Interview Process:

• Talent Team Screen (30 minutes)
• Introduction Interview (60 minutes)
• Case Study Interview (60 minutes)

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.