Upvest is on a mission to make investing as easy as spending money. The company empowers businesses to offer a wide range of investment products and the best experience in the field of investmenting and retirement planning. Upvest's Investment API is easy to integrate so that fintechs and enterprises alike can save resources and fully focus on their core business. We are proud to partner with Europe's leading fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest brings together over 270 talented professionals from more than 70 nationalities, backed by €280M in total funding from world-class investors including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners. As Upvest enters the next stage of growth, we are looking for an exceptional Director/Head of of Data & AI. You will work closely with Mislav Ilich (Product Director), Roberto Fajardo (SVP Engineering) and Martin Kassing**(CEO)**, owning topics critical to Upvest's product and business success:

Role requirements

• 7+ years in product and data management, with significant experience owning data, analytics, data science or AI products in B2B environments. - Proven track record in a regulated fintech, finance, or banking environment, with a deep understanding of API-first SaaS products. - Be a sponge! We don't need you to be a trading industry expert. But you will need to quickly absorb complex domains (e.g. ) and combine that with your product management expertise. - Experience translating AI/ML capabilities including LLMs and ML systems into productised value with measurable ROI. - Fluency in modern data stacks: you don't need to build them, but you need to understand what they enable and how to prioritise investment (e.g. Kafka, Spark, Flink, Airflow, Dagster, Lakehouse/Warehouse patterns, MLOps). - Demonstrated ability to define and own a data and AI product roadmap with clear business outcomes. - Strong command of modern product toolkits: continuous discovery, outcome-focused roadmaps, OKRs, and fast validation cycles. - Proven experience creating cross-functional alignment across Engineering, Compliance, Risk, Finance, and senior leadership. - Experience building and scaling inclusive, high-performing product or data teams.