Moneybox engineering delivers change through multiple cross-functional squads and a dedicated Architecture team, supported by strong Tech Leads and Engineering Managers, and operating on a structured 8-week delivery cycle. We serve more than 1.5M customers and run a live service handling over 20M API requests a day.
We intentionally run our engineering management lean and hands-on. This creates a need for departmental-level, cross-team programme management: someone who owns the bird's-eye view of delivery, maps dependencies across squads, and works with teams to course-correct so that we deliver predictably every cycle.
You are not coming in to fix a broken engineering culture or manage engineers - our Managers and Tech Leads have that covered. You are coming in to solve the problem of orchestration at scale: how many teams collaborate effectively to deliver against the company roadmap.
Responsibilities
End-to-end cycle orchestration. Own the 8-week operational cadence in partnership with the Change team. Manage the flow of work from shaping through to squad execution, focusing on measurable outcomes and total delivery visibility. Provide coaching and challenge to Squad Delivery Leads.
Centralised reporting. Build and own the source-of-truth view of roadmap health. Translate team-level progress into clear, concise status reporting for executives and non-technical stakeholders.
Risk and dependency mapping. Proactively identify cross-squad and architectural dependencies before they block progress, and track them explicitly through the cycle. This is not a passive tracking exercise: we expect you to patrol the borders - listening to status stories, noticing when one doesn't quite ring true, and asking the two or three questions that surface a problem while it is still cheap to fix.
Data-driven course correction. Use data to flag delivery risks early, facilitate tough scope and resourcing conversations with Product and Tech Leads, and act as the primary escalation point to resolve cross-team friction.
Lean process leadership. Partner with Engineering leadership to continuously refine our agile delivery processes without adding bureaucracy. Build deep, cross-functional relationships to align disparate teams through influence rather than authority.
Financial and operational governance. Own the data pipeline for engineering workloads: repeatable project tracking and a practical approach to categorising engineering spend that supports financial planning, capacity decisions, and future team sizing - without getting lost in the weeds.
Complex incident coordination. Provide leadership, operational coordination, and stakeholder communications for high-severity, cross-functional incidents.
What we are looking for
A well-developed Twinge. You have shipped enough software, with enough teams, that your experience speaks to you when an update is hiding a problem. When a story doesn't stand up to the first three questions, you know there's an issue - and you ask the questions, even when it's uncomfortable.
Structured, strategic problem solving. You can take vague direction and turn it into concrete outcomes. You break intractably large problems into smaller, orthogonal issues that can be solved in turn, and you can explain your thinking and process clearly enough that others can follow it, challenge it, and build on it.
Technical literacy. You don't need to write code, but you must hold your own in a room with Tech Leads and Architects. You understand software architecture concepts, APIs, cloud infrastructure, and technical debt.
Pragmatic delivery kit bag. Deep experience running structured, time-boxed delivery models (e.g. 6- to 12-week cycles, ShapeUp, scaled agile, etc.). We are not looking for a methodology enthusiast: we want someone with a broad kit bag of agile, waterfall, and delivery techniques who draws on whichever fits the problem at hand.
Data and tooling proficiency. Advanced proficiency with project management tooling (Jira, Linear, Asana, etc.) and a proven ability to build clean, scannable reporting. Financially literate: comfortable owning the data behind delivery tracking, capacity planning, and engineering spend.
Clear communication. Able to synthesise highly technical detail into concise, impact-focused updates for executive leadership.
What success looks like in 6 months
Predictable cycles. Our 8-week cycles achieve a high predictability rate, with scope adjustments happening proactively mid-cycle rather than as a surprise in the final week.
Trouble is found early. Risks surface because you sniffed them out, not because they materialised. Squads recognise your questions as help, not micromanagement.
Seamless dependencies. Cross-team dependencies (e.g. Squad A relying on a platform change from Squad B, or an approval from Architecture) are mapped cleanly during planning and tracked explicitly week over week.
Trusted delivery data. Engineering workload data is captured consistently enough to support team sizing decisions and financial planning.
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