The Budget Steering squad builds a holistic approach to budget allocation and optimization for performance marketing — from quarterly planning to monthly optimization down to daily decisions at campaign and ad-group level. We operate in a highly complex and ambiguous environment where:
* Ground truth is often unobservable (incrementality vs attribution)
* Budget decisions must be made continuously, under uncertainty and with imperfect data
* Every allocation change moves real spend across markets, channels and platforms Our goal is simple to state and hard to solve: invest each euro where it generates the biggest leverage, across scenarios ranging from volume maximization to payback-based allocation. We are looking for an Engineering Manager to lead a cross-functional squad of engineers and data scientists, own a large-scale production service the business depends on daily, and turn ambiguous commercial questions into reliable, model-driven decision products. This role requires a strong technical foundation — in backend engineering or in data science / ML — combined with the leadership to grow people and the pragmatism to partner closely with Product and business stakeholders. In this role you will, Lead and grow a cross-functional squad
* Lead engineers and data scientists across the full product lifecycle — from problem framing to production and adoption
* Grow individuals through coaching, feedback and clear development paths, and hire to close capability gaps
* Set measurable goals for the team and create the conditions for the squad to hit them
* Build a culture of ownership, proactiveness and high engineering standards Own the budgeting lifecycle end to end
* Take accountability for budget allocation across every dimension and timeline — from strategic quarterly allocation to daily bid and budget changes at campaign level




* Drive the development of payback-based allocation models, including CLV estimation and constrained optimization
* Consolidate a fragmented tool stack into a single budgeting platform with coherent interfaces, ownership and roadmap
* Balance methodological rigor with business constraints — budget caps, pacing and channel dependencies Guide technical strategy and execution
* Shape the squad's technical strategy and stay close enough to the work to be a credible partner in most technical conversations at squad and domain level
* Make architecture and prioritization trade-offs explicit — effort, value, feasibility and pace
* Set the bar for reliability and data quality : uptime, correctness of allocation, and validated inputs and outputs across every source
* Ensure solutions are built as decision products, not one-off analyses — tested, monitored, documented and reproducible Partner with Product and business stakeholders
* Work with Product Managers to define scope, trade-offs and timelines, and to set common, measurable goals across planning cycles
* Act as an ally of Product: negotiate constructively, know when and how to say no, and compromise without losing the long-term technical direction
* Reduce ambiguity by asking the right questions before committing the team to build
* Navigate a complex stakeholder network spanning marketing, finance, analytics and central platform teams Drive decision-making under uncertainty
* Provide clear recommendations despite imperfect measurement, articulating trade-offs and confidence levels
* Navigate conflicting signals (e.g., attribution vs incrementality vs MMM) and help the team decide what to trust
* Translate complex modeling and system behaviour into clear narratives for non-technical audiences
* Build trust in the squad's outputs over time, including when they contradict established assumptions

📌 Manager, Software Engineer (España)
🏢 Glovo
📍 España