a fast-growing global programmatic exchange built for the future of in?app advertising. BidMachine operates with a strong US foundation and an international presence, with teams across Warsaw, Barcelona, Parkland (FL), and remote experts around the world. We combine deep AdTech expertise, proprietary technology, and a data?driven mindset to deliver transparency, performance, and efficiency in the mobile advertising ecosystem. At BidMachine, we are building more than an exchange — we are shaping the infrastructure that powers fair, efficient, and scalable in?app programmatic advertising. performance marketplace where publishers maximize value and advertisers access premium inventory with full transparency and control. We are proud of our technology, our ambitious vision, and our globally distributed team of talented professionals who continuously raise the bar in AdTech. Data?We leverage data to make smarter decisions, optimize performance, and build scalable solutions that deliver measurable results. General Collaboration Head of Product Engineering You will unify Data Science, Data Engineering, Data Analytics, BI, and our bidding/prediction stack into a single, coherent product, replacing today's fragmented workflow with one clear roadmap and one set of aligned decisions. on leadership role: you'll sit above our Data Science function, work daily with our go?to?market and sales leadership,



and carry direct influence over how we compete with the handful of full?stack players (exchange + mediation + DSP) in this industry. Own the end?to?end technical and product roadmap for the UA DSP, from bidding and prediction through to reporting and BI. Unify Data Science, Data Engineering, Data Analytics, BI, and backend engineering (predictor/bidder) into one product function with consistent, aligned decision?Lead, grow, and mentor a team of roughly 20 across engineering, data science, and analytics; accelerate the growth of the existing Data Science function. Bring engineering rigor and a genuine product mindset — at BidMachine, "product" means engineers who understand the business and can set direction, not a separate function. 10+ years of experience in software engineering, with demonstrated hands?5+ years in a senior engineering or product engineering leadership role, managing teams of *+ across multiple disciplines. Strong working knowledge of machine learning and data science concepts — sufficient to credibly manage, grow, and set direction for a Data Science organization. Solid grounding in data engineering, analytics, and BI, with the ability to operate fluently across all of them. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Advanced Business English, particularly in writing and speaking. Prior experience at a full?stack ad tech company (exchange + mediation + DSP). Experience building or scaling machine learning?

📌 Product & Engineering Director (España)
🏢 Appodeal
📍 España