Engineering Manager

The Engineering Manager is a people, delivery, and technical leadership role responsible for engineering effectiveness, capability, and the way software gets built across multiple teams within Flooid. You will line-manage Engineering Leads and, through them, own the health and performance of their teams. This is a manager-of-managers role, not a single-team manager role.

Reporting to the VP of Engineering, you will support the rules and standards we must operate by, while working with the VP to implement and evolve them as the organisation and technology change. We need someone who remains excited by engineering and agentic AI.

Flooid builds the point-of-sale and unified commerce software that some of the world's largest retailers run their stores on. When our software is late, slow, or wrong, real tills stop working. Agentic AI is already part of our engineering day, not a pilot but the direction we are committing to, and this role is critical in making it work at scale with the delivery discipline our customers depend on: high quality, getting faster over time, and hitting the dates we have committed.

Responsibilities:

• Line manage, coach, and develop Engineering Leads across multiple teams, creating clear expectations, strong leadership capability, and succession plans. 
• Own performance management and career development across your group: support and guide the teams, help people grow, intervene where they struggle and put clear performance improvement plans in place where needed.
• Own delivery confidence across your teams, so work ships at high quality, with increasing speed, and to the times we have committed, driving cross-team planning, dependencies, and risk to improve forecasting and reduce escalation.
• Partner closely with the Product, Architecture, and Professional Services on scope, sequencing, and trade-offs. The Delivery Lead owns the programme and customer plan; you own whether engineering can actually deliver it.
• Work with the VP and other lead stakeholders on the agentic delivery lifecycle end to end, from specification through implementation, review, testing, and release, deciding where agents lead, where humans lead, and where a human signature is non-negotiable.
• Be part of implementing that strategy: work hands-on in Cursor and Flow Next, and in the operating model alongside individual contributors and your Engineering Leads.
• Make prompts, skills, and context first-class engineering artefacts that are versioned and reusable, and build evaluation into our quality system the way automated testing already is. Work with Platform Engineering, Architecture, Cloud, and Security on the platform underneath: model access, observability, audit trails, and cost.
• Responsibility for delivering agreed metrics and KPIs that make our improvements visible to the business, and use them actively to manage how we work: quality, flow, predictability, team health, and whether AI is genuinely helping.