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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on automation and AI-assisted workflows, driving end-to-end delivery and aligning product vision with customer needs. Proficient in utilizing data-driven decision-making and structured problem-solving to enhance user experience and product effectiveness.
Highest-signal resume keywords
Product ManagementAutomation WorkflowsMachine LearningStakeholder ManagementData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Lifecycle ManagementRoadmap DefinitionStructured Problem-SolvingSQL ProficiencyData-Driven Decision Making
Soft Skills
User-Centric ApproachCollaborationCommunication
Tools & Technologies
FigmaJiraNotionAnalytics PlatformsAI Tools
Industry Keywords
Automotive DataAI CapabilitiesThird-Party IntegrationsScalable SolutionsCustomer Workflows
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Stay close to customer workflows, industry trends, and partner feedback in the automotive space
- Translate operational pain points into scalable product opportunities focused on automation and AI-assisted workflows
- Lead end-to-end delivery of platform features from discovery through rollout and iteration
- Collaborate closely with Engineering and Data to ensure practical, scalable solutions aligned with platform architecture
- Identify opportunities to introduce AI capabilities that improve efficiency, insight generation, and customer experience
- Validate ideas through lightweight experimentation and structured problem exploration
- Participate in solution discussions, clarify trade-offs, and help define implementation approaches
- Contribute to roadmap planning and balance short-term delivery with long-term platform evolution
- Coordinate multiple initiatives and align delivery timelines with customer expectations and platform priorities
- Define success metrics, monitor adoption, and use data to inform iteration and prioritization decisions
Requirements
What you’ll need- 3–4 years of proven experience as a Product Manager
- Track record of owning features or products from ideation through launch and iteration
- Experience working on products incorporating automation, machine learning workflows, LLM capabilities, or data-driven decision systems
- Comfort experimenting with modern AI tooling
- Ability to set product vision, define roadmaps, and manage the full product lifecycle
- Strong stakeholder management skills
- User-centric and data-informed approach
- Structured problem-solving skills
- Hands-on experience with Figma, Jira, Notion, and analytics platforms
- Automotive data and related technology knowledge is a great-to-have
- Experience with modern AI tools, APIs, or automation platforms is a strong advantage
- Experience with large-scale product solutions and complex third-party integrations is highly regarded
- SQL and other data analysis tools proficiency is highly regarded
- Interest in software and technology
Benefits
Comp & perks- 25 days of paid annual leave plus public holidays
- Flexible remote work options
- Open door policy to CEO and all Leadership team
- One-on-one wellness coaching sessions
- An annual wellness budget
- An annual learning budget for courses, certifications, or skills
- Regular team events and social calls
- Company SWAG
- Vibrant hybrid culture
