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Location: London
Office attendance: 4 days per week in-office (Paddington)
Vega is an early-stage startup. There's no playbook, limited structure, and the expectations are high. You'll own what you build, move fast with limited hand-holding, and be expected to go beyond the job description when it matters.
The problems are genuinely hard and the bar is high. But the people who thrive here leave a real mark on the product, the company, and an industry that's long overdue for change.
About Vega:
Vega is unlocking scale for alternative asset managers. Private markets are shaping into one of the most influential forces in the global economy over the coming decades, with more than $20 trillion in AuM today and expected to already triple by 2032. Today, the industry is at an inflection point as it enters an era of hyper-growth, increased complexity, and brand-new demands. To competitively service and scale their client base across the entire investment lifecycle, managers need a technological transformation. Vega is delivering the industry’s purpose-built infrastructure with AltOS – the AI-powered client & distribution operating system for alternatives.
Vega’s is leading the private markets industry into the age of agentic AI, setting the market standard and bringing creative, first-principles solutions to a legacy industry long dominated by archaic point solutions.
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Vega’s founding team consists of alternatives specialists from KKR, Blackstone, Elliott, and Goldman Sachs, along with top product and engineering talent from successful fintech scale-ups like Revolut and Trade Republic. Vega has raised over $28M in funding from Apollo, Motive Ventures, Picus Capital, and 60 senior executives from the alternative investment industry.
To learn more, please visit - www.vega-alts.com
Key responsibilities:
- Support the product engine - Work closely with the Product and Engineering teams to help keep Vega’s product development and delivery processes running smoothly.
- Build and refine operational processes - Design, improve, and document internal processes that support Vega’s product operating system.
- Enable client automation and digitisation - Support initiatives that help clients automate, digitise, and standardise their operational workflows through Vega’s platform.
- Work on AI-enabled workflows - Assist with building and refining AI-driven workflows and operational processes that support Vega’s AI-powered platform.
- Drive execution across teams - Collaborate across product, engineering, and operations to ensure projects move forward efficiently.
- Solve real operational problems - Identify inefficiencies in how things work today and help design better ways of operating as the company scales.
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This role might be for you if you:
- Are studying at or have recently graduated from a top university
- Have interned or worked in high-performance environments with high standards
- Hold yourself to a very high bar for execution and quality
- Are curious about AI-powered products and operational systems
- Are comfortable moving quickly and solving ambiguous problems
- Are addicted to tools like Claude Code or similar AI productivity tools
What you'll gain:
- Exposure to how AI-native products are built and operated
- The opportunity to work closely with product, engineering, and leadership teams
- First-hand experience in building operational systems inside a high-growth startup
- A chance to leave a real mark on how Vega scales its product and operations
Why join us?
- Work alongside experienced engineers and PMs from leading fintech and technology companies and build infrastructure powering the next generation of private markets
- Solve genuinely hard data and system design problems
- An opportunity to shape the trajectory of a high-growth company with world-class investors
- High autonomy and trust, with a direct impact on how Vega delivers value for clients
- Competitive salary
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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