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Senior Data Product Manager
Not specifiedFull-timeProduct ManagementAutomotive Technology
Lead technical data products and infrastructure that support algorithm research, development, training, and validation. Partner with research and engineering teams to define data solutions and turn complex technical needs into actionable requirements.
Responsibilities
- Work with algorithm researchers and development teams to identify data needs and define technical requirements.
- Lead technical definition of data solutions, tools, and infrastructure for algorithm development, training, and validation.
- Coordinate with data collection and infrastructure teams to support data quality, availability, and alignment with algorithm requirements.
- Improve data structures, standards, and workflows for development and experimentation.
- Identify data lifecycle bottlenecks and drive solutions with engineering teams.
- Build prototypes, automate workflows, and develop internal tools using AI-assisted development tools.
- Partner with cross-functional teams, including FinOps, to improve data storage, usage, and cost efficiency.
Requirements
- Bachelor’s degree in computer science, software engineering, or a related technical field.
- At least 5 years of technical product management experience focused on complex, engineering-driven products or platforms.
- Strong understanding of data systems, software architecture, development workflows, and infrastructure.
- Experience translating technical or research needs into detailed product and engineering requirements in collaboration with R&D teams.
- Ability to build small tools, prototypes, or applications independently.
- Experience with AI coding tools such as Cursor and Claude Code.
- Strong analytical, problem-solving, and communication skills.
Nice to have
- Previous hands-on software development experience.