Technical Product Owner, AI-Native Solutions Engineering
Skills
Computer ScienceData AnalyticsDatabasesEnhanced Data Rates For GSM EvolutionModelingProduct RequirementsSAP Controlling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Software Engineering Information Systems or related technical field or equivalent hands-on software development experience
- 3+ years in technical product ownership solutions analysis or software engineering in an Agile software environment
- Working knowledge of software development sufficient to read and reason about application code and assess technical feasibility independently
- Strong knowledge of REST APIs relational database design data modeling and web application architecture
- T-SQL or equivalent proficiency for data investigation integration validation and requirements verification at the database level
- Demonstrated experience as a primary author of user stories acceptance criteria and technical requirements documentation
- Working proficiency with AI-assisted requirements tools including prompt design output evaluation and domain knowledge base management
- Proficiency in Jira and Confluence experience with Draw.io Lucidchart or similar diagramming tools
- Strong stakeholder engagement written and verbal communication skills across technical and non-technical audiences
- Must be authorized to work in the U.S.
Nice to have
- Detail-oriented
- Collaborative
- Self-directed
- Creative problem-solver
- Troubleshooting skills
Day to day
- Lead discovery with business stakeholders and subject matter experts to define problem scope and requirements boundaries
- Investigate existing system behavior through code review database queries and API interaction to establish implementation baselines
- Translate business and operational needs into precise epics features user stories acceptance criteria data flows process flows and integration specifications
- Direct AI-assisted tools to generate requirements artifacts and validate output for accuracy completeness and edge cases
- Own the pod backlog partner with Product Management and engineering and lead Agile ceremonies through delivery
