Senior AI Product Manager - Automotive Stock Management
M
MotorKAutomotive
EuropeFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5–8+ years
- Required Skills
- PythonArtificial IntelligenceData AnalysisMachine LearningSaaS
Requirements
- 5–8+ years of product management experience
- Significant time in a SaaS or platform product role
- Built a side project with AI (share in application)
- Experience in automotive or inventory/stock management/channel managers
- Startup Experience
- Demonstrated success owning a B2B product end-to-end: from discovery and strategy through to delivery and iteration
- Strong experience working with complex workflows, data-heavy products, or operational tooling
- Excellent skills in problem discovery, prioritization, and stakeholder management
- Comfort working with data (quantitative and qualitative) to make decisions and measure impact
- Clear, concise communication skills (written and verbal) to explain complex concepts to both technical and non-technical audiences
- Nice to have: Experience with campaign management, marketing tech, or multi-channel distribution products
- Nice to have: Background working with distributed teams across multiple locations/time zones
- AI-native mindset and use of AI tools every single day
Responsibilities
- Define and evolve the product vision and strategy for StockSparK aligned with company and portfolio goals.
- Develop and maintain a clear product roadmap that balances customer value, commercial impact, and technical investments.
- Identify opportunities to expand StockSparK’s value across stock ingestion, data quality, stock distribution, campaign creation, targeting, and reporting.
- Become an expert in car dealer stock management workflows, pain points, and success metrics.
- Conduct customer interviews, usability tests, and data analysis to validate problems and solutions.
- Partner with Sales, Customer Success, and Support to continuously gather feedback and translate it into product improvements.
- Write clear, outcome-focused problem statements, PRDs, and user stories.
- Prioritize the backlog using data, impact, and effort to maximize value delivery.
- Partner with Engineering and Design to ship iteratively, ensuring high-quality releases that meet performance, reliability, and usability standards.
- Define success metrics for releases and use them to guide iteration (e.g., stock coverage, adoption of key features, campaign performance).
- Act as the single-threaded owner for StockSparK, aligning stakeholders across Product, Engineering, Sales, Marketing, Operations, and Support.
- Enable GTM teams with the right positioning, messaging, demos, and enablement materials to successfully sell and support StockSparK.
- Communicate progress, risks, and learnings clearly to leadership and the wider organization.
- Collaborate with other product teams to ensure seamless integration of StockSparK with adjacent products and data flows.
- Ensure StockSparK can support multi-channel promotional campaigns, including creating and managing campaigns, selecting and segmenting stock, and reporting on performance across channels.
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