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- Tasks: Lead impactful AI projects, collaborating with clients and data scientists to deliver innovative solutions.
- Company: Join Faculty, a leader in responsible AI, transforming performance for over 350 global customers.
- Benefits: Enjoy unlimited annual leave, private healthcare, flexible working, and coaching support.
- Why this job: Make a real difference in AI safety while working on projects that benefit society.
- Qualifications: Passion for AI safety, strong communication skills, and experience in project delivery.
- Other info: Diverse team culture with opportunities for growth and mentorship.
The predicted salary is between 36000 - 60000 £ per year.
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 business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time.
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 to the team (60 minutes)
- Case Study Interview (60 minutes)
Our Recruitment Ethos: 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.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai. Please know we are open to conversations about part‑time roles or condensed hours.
Delivery Manager (AI Safety) employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Delivery Manager (AI Safety)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at Faculty or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for your interviews by diving deep into AI safety topics. Brush up on recent developments and be ready to discuss how they relate to the role. Show us your passion and knowledge, and you'll stand out!
✨Tip Number 3
Practice your communication skills! As a Delivery Manager, you'll need to convey complex ideas clearly. Try mock interviews with friends or use online platforms to refine your pitch and storytelling abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in joining our team and making an impact in AI safety.
We think you need these skills to ace Delivery Manager (AI Safety)
Some tips for your application 🫡
Show Your Passion for AI Safety: When writing your application, let your enthusiasm for AI safety shine through. Share any relevant experiences or projects that highlight your commitment to responsible AI and how you envision making a positive impact in this field.
Tailor Your Application: Make sure to customise your application to reflect the specific requirements of the Delivery Manager role. Highlight your experience in managing technical projects and your ability to communicate effectively with both clients and technical teams.
Be Clear and Concise: Keep your written application clear and to the point. Use straightforward language to convey your ideas and avoid jargon unless it's necessary. This will help us understand your qualifications and fit for the role more easily.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application is seen by the right people and helps us streamline the process. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Faculty
✨Know Your AI Safety Stuff
Make sure you brush up on the latest trends and challenges in AI safety. Familiarise yourself with concepts like model red teaming and safeguard testing, as these will likely come up during your interview. Being able to discuss real-world applications and implications of AI safety will show your passion and expertise.
✨Showcase Your Project Management Skills
As a Delivery Manager, you'll need to demonstrate your ability to manage projects from start to finish. Prepare examples of past projects where you successfully scoped, delivered, and ensured user adoption. Highlight how you collaborated with technical teams and clients to achieve maximum value.
✨Communicate Like a Pro
Exceptional communication is key for this role. Practice articulating complex ideas clearly and concisely, especially when discussing technical topics. Be ready to showcase your experience managing senior stakeholders and how you built trusting relationships with clients and teams.
✨Prepare for the Case Study
The case study interview is your chance to shine! Familiarise yourself with common case study formats and practice solving problems related to AI safety. Think about how you would approach a project, identify potential issues, and propose actionable solutions. This will help you demonstrate your practical problem-solving skills.
