$ cat jobs/product-growth-vega-investment-technologies-l-2a85ddb8f135.json
Product & Growth
Product & Growth London, 4x days per week in-office Vega is looking for exceptional performers from MBB or investing firms, likely future founders themselves, who have the ambition to push their growth further and develop an operator’s toolkit across Product & Growth. About Vega Vega is transforming the way private markets operate. Alternative asset management is one of the most influential forces in the global economy, with over $20TN in assets today. Over the next five years, the industry is set to grow 3x, but GPs are facing challenges around their ability to handle the investment flows that are coming in. GPs have been completely underserved by innovation, particularly on the investor relations side. Vega built the industry’s first AI-native operating system, where all client work gets done - from the start of an investor’s journey to its end. We are rethinking how work gets done in private markets from first principles: the opportunity is big, but it’s also niche, high-stakes, and difficult to get right. Who we are We are still at the beginning of our journey. Vega was founded by former investors at Elliott and KKR, and built by talent from the world’s leading technology and financial services firms - including Trade Republic, Revolut, Goldman Sachs, BCG, and more. We have raised $30M so far, with the backing of Apollo, Motive Partners, and 60+ senior executives from the industry. Today, we have over $300B AUM and 30,000 users on the platform, and we have much more left to do. How we do it Vega is a fast-growing startup. We want to make this a career-accelerating place for people with the ambition to build something big. If the below sounds appealing, it could be for you: We do not seek consensus. You will be expected to voice opinions and take initiative. Vega's best people do not wait to be told what to do before finding solutions to problems they have spotted. We believe bureaucracy is the killer of progress. We are focused on creating the minimum viable pro
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