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Vega is an AI-native operating system for private markets, transforming how alternative asset managers (GPs) handle investor relations and fund operations. The company was founded by former Elliott and KKR investors and has raised $30M from Apollo, Motive Partners, and 60+ industry executives. With over $300B AUM and 30,000 users, Vega is scaling rapidly.
In this Product Operations role based in London (Paddington), you will be the operational backbone of fund launches and subscription workflows. Your responsibilities include:
- Setting up new funds by reading subscription agreements, fund terms, and side letters; closing open points with GPs and counsel; configuring funds on the platform with questionnaires and review workflows; and translating document requirements into clear product and engineering specifications.
- Owning quality across digitised subscription documents, questionnaires, and side letters to ensure they are client-ready. You will test subscription flows end-to-end before launch, reproduce issues, and ensure investor-facing deliverables work flawlessly.
- Keeping subscription delivery running smoothly across funds and clients. You will work with Product and Engineering to document and continuously refine the fund-to-live process, making it faster and more scalable with each iteration.
- Building AI-enabled workflows by helping design and refine AI-driven systems that accelerate document digitisation and review on the platform.
Vega operates with a high-performance, fast-moving culture. The company prioritises initiative over consensus, minimises bureaucracy, rewards impact over tenure, iterates quickly with imperfect information, and maintains high intensity and ambition. This is not a 9-to-5 role; you will be expected to contribute significantly to the company's success.
You will work 4 days per week in-office in London.
REQUIREMENTS:
- 2–5 years of experience in product operations, legal operations, quality operations, or a similar hands-on, client-facing operational role in high-performance environments with high standards
- High attention to detail and excellent reasoning skills; hold yourself to a very high bar for execution and quality
- Passion for the work and willingness to get hands-on
- Curiosity about AI-powered products and operational systems
- Comfort moving quickly and solving ambiguous problems
