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For Companies At a Glance
- Tasks: Join the AI Hive to build and ship real AI solutions with top industry experts.
- Company: TowerBrook, a leading investment firm with a focus on applied AI.
- Benefits: Private medical insurance, pension scheme, mentorship, and access to cutting-edge AI tools.
- Other info: Unique opportunity for career growth and impactful work in AI.
- Why this job: Shape the future of AI in a dynamic environment while working directly with CEOs.
- Qualifications: 1-3 years in a builder role; technical background preferred but not mandatory.
The predicted salary is between 50000 - 70000 ÂŁ per year.
To apply, please send the following to hive.recruitment@towerbrook.com:
- Your resume / CV
- A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location you're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!
- Links to anything cool you’ve built with AI for work, school, or even just on your own time.
Position Overview
The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers.
The fellowship runs in two phases:
- Phase 1 (six months): Fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes.
- Phase 2 (twelve months): Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners.
Responsibilities
- Phase 1. Inside TowerBrook (Months 1 to 6): Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance. Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks. Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations. Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts.
- Phase 2. Portfolio Company Assignment (Months 7 to 18): Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor. Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped). Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement. Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base. At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network.
Professional Qualifications & Experience
- One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort.
- A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing.
- Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty.
- Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for.
- Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it.
- Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates.
Personal Qualifications
- Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility.
- AI-native instinct. You reach for AI tools naturally during ideation and problem solving.
- Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training.
- Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read.
Compensation & Benefits of working at TowerBrook
- Private medical insurance
- Pension scheme with employer contribution
- Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering
- Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs
- Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers
- Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network
- Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks
- A collaborative, entrepreneurial culture within a globally respected investment firm
AI Builder Fellowship: PE Fund + Portfolio in City of London employer: TowerBrook
Contact Detail:
TowerBrook Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Builder Fellowship: PE Fund + Portfolio in City of London
✨Tip Number 1
Get your networking game on! Reach out to current or past fellows, and even TowerBrook employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your AI projects! When you apply, don’t just list your skills—link to your GitHub or any cool AI stuff you've built. This is your chance to shine and show how you think outside the box.
✨Tip Number 3
Prepare for the interview like it’s a hackathon! Brush up on your AI knowledge and be ready to discuss how you’d tackle real-world problems. They want to see your builder mindset in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace AI Builder Fellowship: PE Fund + Portfolio in City of London
Some tips for your application 🫡
Keep It Short and Sweet: When you're introducing yourself, remember to keep it concise. We want to know why you're a good fit for the Hive, so get straight to the point without any fluff. A few sentences that highlight your skills and enthusiasm will do the trick!
Show Off Your AI Projects: Don’t forget to include links to any cool AI projects you've worked on! Whether it's for work, school, or just for fun, showcasing your hands-on experience with AI tools will definitely catch our eye. Let us see what you've built!
Location Matters: Make sure to confirm which location you’re applying to—New York or London. It’s a small detail, but it helps us streamline the process and ensures we know where you want to be during the fellowship.
Apply Through Our Website: While you can send your application via email, we encourage you to check out our website for more details and tips. It’s a great way to get a feel for our culture and what we’re looking for in candidates like you!
How to prepare for a job interview at TowerBrook
✨Show Your AI Passion
Make sure to highlight your enthusiasm for AI during the interview. Talk about any cool projects you've worked on, whether for school or personal interest. This is your chance to show that you’re not just familiar with AI tools but that you genuinely love building with them.
✨Be Ready to Discuss Your Projects
Prepare to dive deep into the specifics of your past projects. Be ready to explain the challenges you faced, how you overcame them, and the impact your work had. This will demonstrate your builder mindset and problem-solving skills, which are crucial for this role.
✨Know the Company Inside Out
Research TowerBrook and its portfolio companies thoroughly. Understand their business model, recent projects, and how AI can play a role in their operations. This knowledge will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Practice Clear Communication
Since you'll be working closely with senior stakeholders, practice articulating your thoughts clearly and concisely. Prepare a one-pager summarising your key experiences and how they relate to the fellowship. This will help you convey your ideas effectively during the interview.