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.

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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:

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• 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:

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• 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:

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

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