Principal Product Manager

Defining where AI products need to go — translating AI capability into clear product vision, multi-year strategy and roadmaps that create genuine business value. Identifying where AI fundamentally changes a product, where it enhances it, and where human judgement must remain in the loop. Setting a direction that engineering, design and senior stakeholders can align behind and execute against with confidence.

Designing AI products from the ground up — shaping the user experience, evaluation criteria, confidence thresholds and model performance requirements as product decisions, not engineering ones. Defining what good looks like for AI features before a line of code is written, and maintaining that standard through delivery, launch and iteration.

Building AI governance into the product from the start — not as a compliance layer added at the end, but as a design discipline that makes AI systems more trustworthy, more defensible and more durable. Working knowledge of NIST AI Risk Management Framework, ISO 42001 and EU AI Act obligations. Practical application of risk-tiered AI classification, human-in-the-loop design, explainability requirements, fairness considerations and auditability as first-class product requirements. AIGP certification in progress.

Applying AI-native workflows across the full product lifecycle — discovery, UX, requirements, prototyping and delivery. Using modern AI tooling and virtual AI pods to compress the cycle from ambiguous problem to testable product. Hands-on builder of AI systems, keeping the strategy grounded in what is actually possible and current.

Leading product strategy and global delivery across complex, multi-team organisations. Setting roadmaps, defining OKRs, making investment decisions and aligning senior stakeholders across multiple functions and geographies. Operating at portfolio scale with competing priorities, long time horizons and high organisational complexity — and maintaining clarity of direction throughout.

Managing large-scale product portfolios spanning multiple teams and geographies. Operating model design, lean budgeting, dependency management, PI planning and delivery governance across globally distributed engineering organisations. Balancing product evolution, technical debt, customer delivery and platform sustainability across a complex, multi-year delivery programme.

Deep domain knowledge across airline distribution, operations, ancillary services and enterprise aviation platforms. Product definition, systems integration and delivery across major airline and travel technology organisations. Strong understanding of the commercial, operational and regulatory constraints that shape product decisions in the aviation industry.

Product strategy, vision and delivery for national-scale government platforms — identity systems, citizen services and revenue platforms. Navigating complex multi-stakeholder environments spanning government agencies, technology partners and service providers. Designing products where trust, security and accessibility are non-negotiable requirements from day one.