Data Science & AI Product Owner | Private Equity |
Salary: circa 140k-170k + Bonus + Excellent Package
Opportunity:
Looking to break away from corporate red tape and actually ship real AI-powered tools that investment professionals use every day? We're hiring a Data & AI Product Owner to drive meaningful change at one of Europes most successful private markets investors. This role will be joining a leading charge in global brands. Were looking for a couple of hires to focus on either Credit or Infrastructure investing.
This is not your standard product role. You'll be embedded directly into a high-performing investment team (e.g. Private Equity, Credit, Secondaries, Infrastructure), identifying real-world problems and shaping practical, data- and AI-driven solutions, fast.
Youll have the autonomy to experiment with tools like Notion, Retool, Streamlit, n8n , and build lightweight MVPs yourself using Python, JavaScript, or low/no-code stacks . For complex builds, youll partner with engineers and data scientists, but the ideas, testing, prioritisation, and rollout? Thats you.
Who will this suit?
A senior-level IC. Not a hands-off product manager. Organisation are rewarding for technical ability coupled with business value, not leadership skills. Someone that has clearly demonstrated embedding actual, value driven AI solutions. Someone that understands FS, Fintech or Investment, Private Equity etc.
What youll be doing
- Work hand-in-hand with investment officers to uncover friction points and AI opportunities
- Prototype, source, or help build tools that improve deal execution, research, and decision-making
- Manage your own product backlog, driven by business value, not vanity metrics
- Drive adoption with sharp onboarding, training, and support
- Influence cross-strategy builds and enterprise tools by representing your domains needs
What were looking for
- Experience in product, innovation, or strategy roles - ideally at MBB, venture, or early-stage AI/product teams
- Technical degree (CompSci, Engineering, Math, etc.) and confidence using AI tooling and APIs
- Experience building or implementing tools using Notion, Vercel, Retool, Airtable, Streamlit , etc.
- Strong grasp of the investment process (e.g., PE, Credit, Infra, or Secondaries)
- Bias for action, a love of hacking together working prototypes, and a nose for commercial impact
Why this is different
- Direct line of sight to business impact , youll see the results of your work in real time
- Freedom to build , prototype and test ideas before involving engineering
- Incredible access , youll work directly with some of the sharpest minds in private markets
- Real AI, applied today , not future dreams; agents, copilots, and Q&A tools are already in play
