Head of Product Engineering

BidMachine's UA business unit is looking for an experienced Head of Product Engineering to own the technical and product vision of our demand-side platform (DSP) — the engine that runs managed-service campaigns for advertisers today, with a self-service version on our roadmap.

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. This is a hands-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.

Location: Barcelona, Spain

Responsibilities:

• 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-making.
• Lead, grow, and mentor a team of roughly 20 across engineering, data science, and analytics; accelerate the growth of the existing Data Science function.
• Partner closely with the Go-to-Market/Revenue lead and Head of Sales to translate market opportunities into technical feasibility assessments and vice versa.
• Drive the long-term transition from managed-service to self-service tooling for advertisers.
• 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.
• Move quickly from close collaboration on direction-setting to independently owning and defending product strategy.

Requirements:

• 10+ years of experience in software engineering, with demonstrated hands-on experience having built and scaled a DSP or comparable real-time bidding platform.
• 5+ years in a senior engineering or product engineering leadership role, managing teams of 15–20+ 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.
• Excellent stakeholder management skills and the ability to operate with significant ambiguity in a fast-moving, high-ownership environment.
• Advanced Business English, particularly in writing and speaking.
• Willingness to relocate to Barcelona.

Nice to Haves:

• Prior experience at a full-stack ad tech company (exchange + mediation + DSP).
• Experience building or scaling machine learning-driven bidding/prediction systems specifically in mobile UA or programmatic advertising.