Product Owner (Experience)

Responsibilities

Own and prioritise the development team backlog to ensure high-value delivery

Write, refine, and prioritise epics and user stories with clear acceptance criteria

Act as the voice of the customer, representing dealer and end-user needs in every backlog decision

Collaborate with the development team during Iteration Planning, stand-ups, and reviews

Accept completed user stories against the Definition of Done

Work with the Product Manager to keep the team backlog aligned to the wider product roadmap

Monitor product usage and performance metrics, and use them to inform prioritisation

Translate product strategy into concrete, sequenced pieces of work

Working with AI: where this role is going

Use AI tools (e.g. Claude) to support day-to-day product work now: drafting specs, exploring data, speeding up research and analysis

Grow into hands-on use of AI coding tools (e.g. Claude Code) to prototype and validate ideas yourself, with structured training and time provided to get there

Apply judgement on where AI-assisted output needs human review

Understand that this capability will become a core, evaluated part of the role over time, not an optional extra

Skills, know-how and experience

Must have

Solid understanding of Agile principles and the Product Owner role within Scaled Agile

Proven ability to write clear, concise epics and user stories

Strong communication skills, comfortable representing the customer view to engineering and to the Product Manager

Ability to read data and use it to make prioritisation calls

Familiarity with customer-centric product development

Comfortable using AI tools day-to-day to support product work (e.g. research, writing, analysis), plus a clear, genuine willingness to grow into hands-on AI-building (e.g. Claude Code) as this becomes a core part of the role. This is where the Product Owner role at Keyloop is deliberately heading. Candidates should be ready to commit to that development path, even if not yet hands-on today.

Preferred

Experience in a Scaled Agile environment (e.g. Scrum@Scale, SAFe)

Familiarity with Jira, Confluence, or similar tools

Relevant certifications (e.g. CSPO, SAFe POPM)

Experience in automotive, dealer software, or similar B2B SaaS domains

Understanding of automotive aftersales processes (e.g. service booking, workshop operations, repair order lifecycle)

Existing hands-on experience using AI coding tools (e.g. Claude Code) to build or prototype software

Development pathway

Growing into hands-on AI-building is an expected part of every Product Owner's development here. This isn't an exception process, it's the plan for everyone. We'll invest in structured training and dedicated time to help you get there. What matters on day one is genuine readiness and willingness to make that journey, not that you've already arrived.