Understand the Market & Customer Problems: Stay close to customer workflows, industry trends, and partner feedback in the automotive space. Translate real operational pain points into scalable product opportunities, with particular focus on automation and AI-assisted workflows

Drive Technical Product Delivery: Lead end-to-end delivery of platform features from discovery through rollout and iteration. Work closely with Engineering and Data to ensure solutions are practical, scalable, and aligned with platform architecture

Contribute to AI-Enabled Product Direction: Identify opportunities to introduce AI capabilities that improve efficiency, insight generation, and customer experience across the platform. Support early validation of ideas through lightweight experimentation and structured problem exploration before committing to full delivery cycles

Partner Closely with Engineering: Act as a technical partner to Engineering rather than a coordination layer between teams. Participate in solution discussions, clarify trade-offs, and help define implementation approaches that balance speed, quality, and long-term platform maintainability

Shape the Roadmap: Contribute to roadmap planning by identifying high-impact improvements that balance short-term delivery needs with long-term platform evolution

Manage Parallel Initiatives: Coordinate multiple initiatives at once, aligning internal delivery timelines with customer expectations and platform priorities

Own Product Performance: Define success metrics, monitor adoption, and use data to inform iteration and prioritisation decisions

Experience & Product Ownership: 3-4 years of proven experience as a Product Manager, ideally in startups or fast-paced environments, with a track record of owning features or products from ideation through launch and iteration

Exposure to AI-Enabled Product Development: Experience working on products that incorporate automation, machine learning workflows, LLM capabilities, or data-driven decision systems. Comfort experimenting with modern AI tooling to validate ideas and improve workflows is strongly preferred. Practical product application matters most

Strategic & Lifecycle Management: Skilled in setting a clear product vision, defining roadmaps, and managing the full product lifecycle — from discovery and prioritisation to delivery and optimisation

Excellent Stakeholder Management: Builds strong relationships with internal teams and external clients. Proactively aligns expectations, manages feedback loops, and keeps stakeholders informed and engaged throughout the product lifecycle

User-Centric & Data-Informed: Passionate about understanding user needs and turning insights into actionable solutions. Comfortable using data to inform decisions, validate assumptions, and measure success

Structured Problem Solving: Excels at breaking down complex business or product problems into clear, prioritised tasks with practical, scalable solutions

Tool Proficiency: Hands-on experience with product and collaboration tools like Figma, Jira, Notion, and analytics platforms