Technical Product owner

Job Summary

We are hiring for our client Technical Product Owner (TPO) to drive initiatives from problem definition to production outcome with an evidence-based approach. You'll partner with the Business Product Owner to translate user problems into measurable product outcomes by shaping scope, providing clarity to engineering teams, making trade-offs, and driving decisions rather than escalating them. You won't write production code,but you'll be technical enough to challenge engineering decisions, prototype with AI agents, and earn the trust of an experienced engineering team.

Job Responsibilities

Product Analysis and Shaping

• Develop a deep understanding of the product, including its features, user experience, technical architecture, data flows, and how it fits within the wider ecosystem.

• Define, with the Business Product Owner, the north-star metric and supporting KPIs that guide product iteration, and partner with engineering and data teams to ensure these metrics are observable.

• Produce the artefacts that engineering needs to act on, whether that's requirements, user stories, or AI-assisted product specs.

Roadmap and Prioritisation

• Co-own the product roadmap with the Business Product Owner, keeping it aligned with company goals, member needs, and regulatory context.

• Prioritise features and enhancements based on evidence of user impact, business value, and technical feasibility.

Stakeholder Management

• Communicate product direction, evidence, and progress to stakeholders at all levels of the organisation, including business owners, members, and regulators.

• Build consensus and manage expectations around priorities, trade-offs, and the inherent uncertainty in product work.

Ways of Working

• Use AI agentically to accelerate discovery, prototyping, and specification (e.g., generate working mockups, draft technical specs, validate assumptions) before engineering invests time.

• Drive continuous discovery through member interviews, prototypes as tests, and usage data analysis.

• Make trade-offs explicit (scope vs. timeline, build vs. buy, quick win vs. durable fix) and drive decisions around them.

• Contribute to shaping product practice and SDLC improvements as they evolve across the engineering and product organisation.

 Job Requirements

• Experience. 5+ years in product management, product ownership, or engineering roles with significant product responsibility.

• Technical fluency. Able to read code, reason about APIs and data flows, evaluate technical trade-offs, and hold your own in architecture discussions with experienced engineers.

• AI-native ways of working. Real, hands-on experience using AI agents to prototype, specify, and validate, not just to summarise documents.

• Strong product instinct. Sharp at problem framing, ruthless about scope, keen on data-driven decisions, comfortable driving decisions under ambiguity.

• Strong communicator. Able to influence and collaborate with diverse teams across business and technology, and across levels of seniority.

• Builder mindset. Comfortable working where some product and SDLC practices are still maturing, and happy to adopt and contribute to new ways of working as they emerge.

• Comfort with complexity. Experience shipping in regulated, multi-stakeholder environments (capital markets, financial services, or similar) is a plus.

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