Technical Product Owner (AI)

Location: Hybrid, London office attendance required 3 days per week; other location: Swindon, United Kingdom.

Salary: €50,000–€60,000 gross per year, with the final offer based on skills, experience, and qualifications.

Company

hirify.global is a global technology organization providing commercial payment solutions for fuel, payables, toll, and lodging expenses across more than 80 countries.

What you will do

• Own and maintain the backlog and roadmap for AI- and data-enabled products, prioritizing business value, user needs, feasibility, data readiness, risk, and dependencies.
• Partner with business stakeholders to identify high-value problems, map processes, gather requirements, and define measurable product outcomes.
• Translate business questions into analytical requirements, including hypotheses, metrics, data definitions, assumptions, success thresholds, and evaluation criteria.
• Coordinate delivery across Data Science, Data Engineering, Software Engineering, Architecture, Security, Risk, Compliance, and third-party suppliers.
• Lead discovery, proof-of-concept, pilot, UAT, launch, change management, training, and operational handover activities.
• Define production evaluation for AI products, including feedback, operational performance, quality, accuracy, adoption, benefits, responsible AI, data protection, security, and model-risk controls.

Requirements

• At least 2 years of relevant professional experience as a Technical Product Owner, Product Manager, Business Analyst, Delivery Analyst, or in a similar technology, data, or digital product delivery role.
• Proven experience owning backlogs and translating strategic goals into prioritized epics, features, user stories, acceptance criteria, and non-functional requirements.
• Experience delivering products end-to-end from problem definition and discovery through launch, adoption, and benefits realization.
• Strong delivery management, dependency management, risk and issue management, roadmap planning, stakeholder reporting, workshop facilitation, and requirements-gathering skills.
• Experience working in agile, iterative product-development environments directly with engineering teams.
• Strong understanding of AI, machine learning, and generative AI concepts, including practical limitations and risks.
• Experience working with Data Science, Data Engineering, or Analytics teams on data-driven products or decision-making.
• Ability to interpret analytical outputs, challenge assumptions, communicate findings to non-technical stakeholders, and translate business objectives into analytical requirements.
• Understanding of AI development lifecycles and enterprise AI governance, including data privacy, security, responsible AI, model risk, bias, hallucination, auditability, and human oversight.
• Ability to influence stakeholders, manage competing priorities, create alignment across teams, and bring structure to ambiguous work.

Nice to have

• Understanding of LLMs, retrieval-augmented generation, prompt design, AI evaluation, and human-in-the-loop workflows.
• Hands-on coding or data-querying experience.

Culture & Benefits

• Hybrid work with an assigned workspace in the London office.
• Company-issued equipment and formal hands-on training.
• Full-time employment in an inclusive workplace committed to diversity, equity, and inclusion.
• Offers may be subject to lawful pre-employment screening, including references, identity, criminal record, financial, or sanctions checks.