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

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