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 dataEvery 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 adoptionGrow individuals through coaching, feedback and clear development paths, and hire to close capability gapsSet measurable goals for the team and create the conditions for the squad to hit themBuild 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 levelDrive the development of payback-based allocation models, including CLV estimation and constrained optimizationConsolidate a fragmented tool stack into a single budgeting platform with coherent interfaces, ownership and roadmapBalance 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 levelMake architecture and prioritization trade-offs explicit — effort, value, feasibility and paceSet the bar for reliability and data quality: uptime, correctness of allocation, and validated inputs and outputs across every sourceEnsure 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 cyclesAct as an ally of Product: negotiate constructively, know when and how to say no, and compromise without losing the long-term technical directionReduce ambiguity by asking the right questions before committing the team to buildNavigate 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 levelsNavigate conflicting signals (e.
G., attribution vs incrementality vs MMM) and help the team decide what to trustTranslate complex modeling and system behaviour into clear narratives for non-technical audiencesBuild trust in the squad's outputs over time, including when they contradict established assumptions

📌 Manager, Software Engineer (Villanueva y Geltrú)
🏢 Glovo Group
📍 Villanueva y Geltrú