We are looking for a Product Manager to join the EU DMS product organisation, reporting to the Head of EU DMSs. You will work across multiple Dealer Management Systems in the EU region — defining priorities, grooming the backlog rigorously alongside Product Owners, shaping roadmap direction, engaging directly with Keyloop colleagues across multiple functions, and influencing programme-level decisions. This is not a role where you wait for someone to hand you a backlog. You will identify the right problems, frame trade-offs clearly, and drive decisions that matter to Keyloop’s customers and business.

This role requires an AI-first mindset from day one. You will be expected to use AI as your default tool for how you work — from research, analysis, and stakeholder communication to backlog refinement, specification writing, and decision support. We are not looking for someone who is curious about AI; we are looking for someone who already works this way and can demonstrate it. If you still default to doing things manually when an AI-assisted approach would be faster, sharper, or more creative, this is probably not the right fit.

AI-First Product Thinking

• Use of AI in your own product management practice. Use LLM-based assistants, copilots, and automated analysis tools daily — for competitive research, requirements synthesis, data analysis, stakeholder communication drafting, and backlog refinement. If a task can be done faster or better with AI, you should already be doing it that way.

• Challenge the status quo on every DMS workflow you encounter. Ask “why is this still manual?” and “what would this look like if we built it AI-first?” — whether it is service scheduling, parts ordering, document processing, warranty claims, or customer communications.

• Stay deeply current with AI developments in enterprise SaaS and automotive retail. Bring informed, opinionated perspectives to the team on where AI creates genuine advantage and where it introduces risk — including accuracy thresholds, data quality, and user trust.

• Champion responsible AI adoption across the product organisation, ensuring AI-driven features meet GDPR, accuracy, and transparency standards — while pushing back on the instinct to over-govern innovation before it has been tested.

• Influence the broader product team to think differently about how AI changes the economics and experience of product delivery itself — from AI-assisted grooming and specification writing to automated testing, release analysis, and customer feedback synthesis.

Roadmap & Strategy

• Own and communicate the product roadmap for your DMS scope, aligning it with Keyloop’s broader platform strategy (Fusion, ADC, OEM interfaces).

• Translate market signals, customer feedback, and OEM requirements into a prioritised set of themes, initiatives, and epics.

• Participate in and influence PI (Program Increment) planning cycles, ensuring your product area’s priorities are well-represented and clearly justified.

• Make deliberate trade-off decisions between new feature development, technical debt reduction, platform migration work (e.g. cloud transitions, dependency removal), and regulatory compliance.

• Develop and maintain a clear view of the competitive landscape in the European DMS market, identifying opportunities for differentiation.

Backlog & Delivery

• Work closely with Product Owners to ensure the team backlog is well-groomed, clearly prioritised, and aligned with roadmap objectives.

• Define epics and acceptance criteria with enough clarity that engineering teams can estimate, plan, and deliver with confidence.

• Ensure delivery quality through active participation in iteration reviews, demos, and retrospectives.

• Establish and maintain a clear definition of ‘stable’ and ‘done’ for product increments, particularly for cross-product integrations (e.g. DMS-to-Service Hub, OEM interfaces).

• Monitor delivery metrics and use data to surface risks, unblock teams, and improve predictability.

Stakeholder Engagement

• Engage directly with enterprise customers and dealer groups to understand their operational pain points, validate product direction, and gather feedback on delivered features.

• Build strong working relationships with regional stakeholders across engineering, support, professional services, sales, and OEM teams.

• Represent the product function in cross-functional forums, clearly articulating priorities, dependencies, and trade-offs.

• Prepare and deliver stakeholder communications (programme updates, investment cases, go-to-market briefs) that are clear, data-informed, and actionable.

• Act as the primary product point of contact for your DMS scope when interacting with OEM partners and Keyloop’s commercial organisation.

Cross-Product & Platform Thinking

• Work across multiple DMS products, identifying patterns, shared requirements, and opportunities for convergence or reuse.

• Contribute to platform-level decisions around API design, data architecture (ADC/UDM), and integration standards that affect the broader DMS portfolio.

• Collaborate with other Product Managers across Keyloop to ensure coherent customer experiences across the platform ecosystem.

• Support cloud migration and infrastructure modernisation efforts from a product perspective — defining customer impact, rollout sequencing, and communication plans.

Required

• 4–7 years of product management experience in B2B SaaS, enterprise software, or platform-based technology environments.

• Proven ability to own a product area end-to-end — from discovery and prioritisation through delivery and post-launch iteration.

• Strong experience working with Agile/SAFe delivery frameworks, including backlog management, PI planning, and close collaboration with Product Owners and engineering teams.

• Demonstrated ability to engage enterprise customers and translate complex operational requirements into clear product specifications.

• Strong stakeholder management skills — comfortable presenting to and influencing senior leadership, commercial teams, and external partners.

• Practical experience using AI tools in product management workflows — such as LLM-based assistants for research, analysis, communication drafting, or backlog

refinement. We expect candidates to demonstrate how AI enhances their productivity and decision-making today, not just awareness of AI concepts.

• Understanding of API-driven architectures, platform ecosystems, and integration patterns — you don’t need to write code, but you need to understand how systems connect and where integration complexity lives.

• Excellent written and verbal communication in English. Other European languages are an advantage.

• Comfortable working remotely in a distributed, cross-cultural team environment spanning multiple European time zones.

Preferred

• Experience in automotive retail technology, dealer management systems, or adjacent verticals (e.g. fleet management, vehicle financing, aftermarket services).

• Familiarity with OEM integration requirements and manufacturer compliance frameworks within the automotive industry.

• Understanding of financial processes within dealerships — invoicing, warranty claims, parts procurement — and how they interact with DMS workflows.