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Faculty (faculty.ai)

Senior Manager - PE

Posted One Month Ago
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In-Office
London, England, GBR
Senior level
In-Office
London, England, GBR
Senior level
Leads private equity AI due diligence, market scans, AI maturity benchmarking, portfolio value creation, and internal AI use cases. Translates technical risks, data assets, IP, architecture, AI economics, and disruption potential into investment insights. Manages client relationships, project delivery, commercial viability, proposals, business development, and cross-functional teams while advising PE sponsors and portfolio executives on AI strategy and value creation.
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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 technical teams to evaluate target data assets, proprietary IP, and technical architecture, determining their defensibility against rapidly advancing frontier AI models.

  • Driving business development across private equity sponsors and deal leads, building long-term advisory relationships across investment teams and portfolio company executives.

  • Advising clients on AI strategy and solutions, while articulating the value of AI in diverse business contexts

  • Leading effective project meetings and ensuring clear, consistent communication of purpose and direction to both internal teams and clients

  • Identifying risks early, and leading teams to implement effective mitigating actions to ensure project success

  • Mentoring and developing project team members’ skills, aligning their responsibilities with their professional growth

 
 
Who we're looking for:
  • Demonstrated experience delivering rapid-turnaround AI due diligence, commercial/tech due diligence, or growth strategy projects within PE, M&A, or transaction advisory environments.

  • Highly skilled at communicating trade-offs directly to PE deal partners, operating partners, and target executive teams.

  • Deep understanding of AI unit economics, data moats, and how advancing AI capabilities alter cost structures across B2B software and tech-enabled services.

  • Demonstrated ability to quantify the return on investment for PE firms from investing in a particular company. Experience as an equity analyst, with a desire to leverage the rigour of investment analysis to support consulting and AI strategy for PE clients.

  • You have successful experience in technology delivery, ideally from a consulting, technology, or data-specific background

  • You can provide a structured, analytical, and technical breakdown of problems, defining solutions that enhance customer workflows

  • You can identify and implement new business opportunities, including finding growth within accounts and visible support on external business development.

  • You are comfortable working in an ambiguous setting and have a clear understanding of how to structure commercials and pricing.

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.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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.

HQ

Faculty (faculty.ai) London, England Office

160 Old Street, London, United Kingdom, EC1V 9BW

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