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About the Role
As a Delivery Manager within our AI Safety team, you’ll own the end-to-end success of high-impact AI projects for clients, focusing on frontier model evaluations and work with customers in the Government & Public Services space. You will translate AI safety research into actionable changes and model red teaming into strategic solutions.
Responsibilities
- 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
Requirements
- 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
Work Type
- part-time hours
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty possesses unparalleled depth of technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defense sectors.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement the most powerful applications of AI.
- The 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.
- This unit strengthens mission-critical capabilities across national security and intelligence.
- This unit works with frontier labs to provide robust AI safety red teaming and evaluation.
- This unit operates at the frontier of high-stakes, high-impact missions.
- Faculty partners with Government and major tech organizations to ensure AI is secure, trustworthy, and safe.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Faculty believes diverse teams deliver better work relevant to the world.
- Faculty is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Faculty strongly encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Candidates who do not meet all requirements but are excited by the role and bring key strengths are encouraged to apply.
- Faculty is open to conversations about part-time hours.
- Faculty permits the use of AI for research and interview preparation but not for generating answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt out.
- Every application is reviewed by a human, never decided by AI.