Technical Product Manager / Delivery Lead (Governed Digital & AI Platform)

Role and platform

Platform architecture and governance

• Own shared solution architecture for authentication, APIs, design system, and data schema, with isolation boundaries to protect the platform from module failures.
• Define and enforce interface contracts for separately built modules before they enter shared environments.
• Keep repository, naming, and URL conventions consistent across the platform.
• Ensure capabilities supporting live client work are auditable, access-controlled, and defensible.

Release, integration, and delivery

• Run Development, UAT, and Production promotion with defined gates so production releases are reviewed.
• Manage batched core releases and land externally built modules behind feature flags.
• Migrate the platform from local development to the managed environment and maintain an automated, repeatable deployment pipeline.
• Onboard modules through contract compliance, integration testing, and graduation gates while protecting the core release cycle.
• Own the technical roadmap, sequence and deliver capabilities, and decide what becomes a core release, integrated module, or retired experiment.

Team leadership

• Line-manage the engineering team, set sprint cadence, review architecture and code, uphold quality and security standards, and develop the team as it grows.
• Remain technical enough to work in the codebase, make architecture decisions, and unblock the team directly.
• Serve as the technical counterpart to module product managers, maintain the interface contract, and determine where new work belongs.

Essential experience

• At least 8 years in software delivery, including at least 4 years leading engineering or technical product teams that shipped and operated production systems.
• Proven ownership of a multi-environment Development, UAT, and Production lifecycle, CI/CD, feature flagging, and release governance on a live product.
• Hands-on engineering background: able to read and review code, reason about API and data-schema design, and make architecture decisions.
• Direct line management of developers, including setting standards and running delivery cadence.
• Experience integrating independently built modules into a shared platform using interface contracts, versioning, and isolation.

Technical competencies

• Modern web application architecture, API design, and data modelling.
• Cloud deployment and environment management; infrastructure-as-code and pipeline automation are an advantage.
• Working fluency with AI-assisted development tooling, including Claude Code, and comfort with LLM-backed application stacks, model routing, prompting, and guardrails.
• Version control, branching strategy, and code review at team scale.

Desirable experience

• Exposure to the architecture, engineering, and construction sector or a computational design background.
• Experience deploying enterprise AI under governance, audit, or regulatory constraints.
• Experience establishing canonical project and configuration conventions across multiple repositories.

First-year outcomes

Location and scope

• The description states Dubai, UAE; it does not specify an attendance or remote-work policy.
• Product prioritisation and stakeholder alignment are included, but core accountability is technical: architecture, deployment, governance, and delivery-team leadership.