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Sr. Technical Program Manager (TPM) - AI Programs, Vinted Engineering

Vinteden BerlinEst. Est. EUR 75,000–110,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Llm
  • Project Management
  • Compliance
Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position Vinted Engineering is building an AI platform, and we need a Sr. TPM to own it. AI tools are already in the hands of our engineers. Early signals are strong. What doesn't yet exist is a platform: a coherent, managed foundation that connects tooling, workflows, and measurement that every team can rely on. This role exists to build that. You'll set the strategy, influence the roadmap, drive delivery, and make AI impact visible through metrics that matter to the business - not vanity numbers. You'll work closely with engineering leadership, influence direction at the executive level, and be accountable for results. If you want to build from scratch, own outcomes, and see your work become the foundation others build on - this is the role. In this position, you’ll Own the cross-Engineering AI adoption strategy - setting outcome targets, building alignment across domains, and driving accountability for results Define and build the measurement framework that makes AI impact visible - determining what to measure, making it visible and broadly understood across the organization, and using it to drive decisions Lead the delivery of an AI toolset, including standardized, pre-configured, and integrated into daily workflows, and run structured, data-driven trials to evaluate new tools with clear go/no-go criteria Work with engineering leaders across domains to move AI from optional to expected - PRs without AI assistance should be the exception, not the norm Ensure the platform is reliable and safe to scale by removing adoption blockers, setting code quality guardrails with Staff Engineers, and owning compliance and security Manage a portfolio of AI initiatives simultaneously, balancing pace and quality, and escalating risks and trade-offs clearly to leadership About you Significant senior-level experience in technical program or project management, with a track record of owning complex, cross-functional programs end-to-end. Software engineering or engineering management experience that gives you genuine technical credibility with the teams you'll work with A degree in computer science, software development, engineering, a related discipline, or equivalent practical experience Hands-on familiarity with AI-powered developer tools (e.g. Copilot, Cursor) and LLM-based workflows — you understand what they can and can't do in a real engineering environment A genuine bias for outcomes over outputs: you set success metrics before you start and measure relentlessly

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