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Head of product engineering

Brighton
Burns Sheehan
Head of product
Posted: 1 June
Offer description

Head of Product & Engineering (AI-Native Scale-Up)


Location: Brighton (Hybrid – Minimum 2 days per week in-office)


Our client is an innovative, high-growth tech business currently transitioning to a fully AI-native operating model. Having established themselves as a disruptive force in their sector, they are entering a critical next stage of commercial growth. They are looking for a visionary, hands-on leader to unify and scale their combined Product and Engineering functions.


As the Head of Product & Engineering, you will be responsible for shaping both product and technical strategies, translating them into high-quality, commercially impactful outcomes at pace.

This is a hands-on leadership role where you will operate close to the product, architecture, and delivery execution while serving as a credible leader to the SLT and enterprise customers. A core focus of this role will be designing a lean, AI-native organization, embedding AI-assisted engineering, reducing handoffs, and fostering a culture of technical excellence and sharp commercial accountability.


Key Responsibilities for Head of Product & Engineering:

* End-to-End Delivery: Own the product development lifecycle from ideation and specification through to high-velocity release and iteration.
* Partner with the CEO and SLT to align product and engineering strategies with commercial goals, maintaining a sharply prioritized, evidence-based roadmap.
* Design and lead a modern organizational model featuring small cross-functional teams, AI-assisted coding, automated QA, and rapid experimentation.
* Regularly engage with enterprise customers to build confidence in the roadmap, while translating complex technical trade-offs into clear insights for non-technical stakeholders.


Experience Required for Head of Product & Engineering

* Proven experience scaling both Product and Engineering functions in a fast-paced scale-up.
* Hands-on experience building AI products and embedding AI-native tools into delivery workflows.
* Strong background in cloud-native architecture with the ability to make tough, pragmatic systems design decisions.
* Sharp product judgment that connects technical choices directly to revenue and customer ROI.


Head of Product & Engineering (AI-Native Scale-Up)

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