Product Manager

Keyloop is the largest global automotive technology company, trusted by over 20,000 retailer sites and 80+ OEMs across more than 90 countries. The role covers the data and intelligence layer of Keyloop's platform: defining priorities, grooming the backlog alongside the team, shaping roadmap direction, engaging with colleagues across functions, and influencing programme-level decisions. The role requires an AI-first mindset from day one, using AI as the default tool for research, analysis, stakeholder communication, backlog refinement, specification writing, and decision support.

Responsibilities

Use AI tools daily in product management practice for competitive research, requirements synthesis, data analysis, stakeholder communication, and backlog refinement; Challenge manual reporting and insight workflows and propose AI-first alternatives; Champion responsible AI adoption, ensuring AI-driven features meet GDPR, accuracy, and transparency standards; Own and communicate the product roadmap, aligned with Keyloop's platform strategy (Fusion, ADC, and VEGA.ai); Translate market signals, customer feedback, and platform constraints into prioritised themes, initiatives, and epics; Participate in and influence PI planning cycles; Make trade-off decisions between new features, technical debt, platform modernisation, and data governance; Own and groom the engineering team's backlog; Define epics and acceptance criteria; Monitor delivery metrics and surface risks; Engage with retailers, OEMs, financiers, and dealer group leadership to understand needs and gather feedback; Build relationships with regional stakeholders and data platform partners such as ThoughtSpot; Work across the hub reporting portfolio (Acquisition, Service, Sales, and beyond) to identify shared requirements and opportunities for reuse; Collaborate with other Product Managers to ensure coherent customer experiences; Support infrastructure modernisation from a product perspective

Requirements

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 with Agile/SAFe delivery frameworks, including backlog management, PI planning, and close collaboration with the engineering team; 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; Understanding of API-driven architectures, platform ecosystems, and integration patterns, without the need to write code; Excellent written and verbal communication in English; Comfortable working remotely in a distributed, cross-cultural team spanning multiple time zones across EMEA, GCC, and Asia-Pacific

Nice to have

Experience with business intelligence or analytics platforms (e.g. ThoughtSpot, Tableau, Power BI, Looker) or adjacent data verticals (e.g. data pipelines, feature stores, embedded analytics); Familiarity with generative AI and natural-language querying products (e.g. RAG, LLM-powered chat interfaces); Background in or genuine curiosity about the automotive retail sector and the data that drives dealership, OEM, and financier decision-making

Benefits

Genuine ownership and impact over an intelligence layer used by thousands of dealerships, OEMs, and financiers; Exposure to a complex, multi-product, multi-market technology landscape; A collaborative, distributed team culture that values directness, curiosity, and getting things done