Senior Manager - PE

Why Faculty?

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. You can read about our real-world impact here.

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.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About the role

Join us as a Senior Manager (Private Equity) to oversee a critical portfolio of PE projects, across buy and sell side AI due diligence, AI driven portfolio value creation, portfolio scans, and internal AI use cases.

You will be the primary senior point of contact for both clients and internal Faculty teams. You will drive successful delivery, manage project commercial viability, and nurture strong customer relationships. This is an entrepreneurial role where you will identify new business opportunities, develop proposals, and contribute to the growth of the business unit. You will lead and mentor cross-functional teams while acting as a strategic consultant, applying structured thinking to solve complex, real-world problems with Applied AI.

What you'll be doing:

• Leading high-velocity buy-side and sell-side AI due diligence engagements under tight transaction deadlines, translating complex technical risk into clear Investment Committee (IC) thesis points.

• Executing comprehensive market scans and AI maturity benchmarking to assess how target companies compare against industry peers and emerging tech entrants.

• Identifying and quantifying AI disintermediation and business model disruption risks that could threaten a target’s mid-to-long-term defensibility or terminal value.

• Directing cross-functional techn