Head of Product Engineering

At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here’s what we value, and what we hope you do too:

• Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
• Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
• Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
• Enjoying the Journey: We believe in having fun while working toward our goals.

• →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.

• 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.

• 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.