Apple
Senior Agentic AI Product Manager
Found: Today
This role is based in Austin, Texas.
Responsibilities:
- Build and maintain production agentic AI products serving CSO program teams and GEO sales teams.
- Work directly with program owners and business stakeholders to identify highest-value use cases for agents.
- Design, implement, and iterate on agentic workflows including multi-agent orchestration, tool use, and structured reasoning.
- Deploy and customize agents for GEO teams across multiple languages and regional contexts.
- Collaborate with the Agent Platform Architects on marketplace deployment, tool adoption, and infrastructure architecture.
- Translate ambiguous business problems into well-scoped agent products with clear success metrics.
- Iterate rapidly based on field feedback — measure adoption, output quality, and time-to-insight.
- Own agent quality — build evaluation frameworks, monitor production accuracy, and drive prompt iteration cycles based on eval results.
- Build agents end-to-end and co-develop with business teams — enable them to customize, maintain, and operate agents after initial deployment.
Minimum Qualifications:
- 12+ years of technical or product experience shipping production products or features.
- Hands-on experience building LLM-powered applications.
- Experience working directly with non-technical stakeholders to define requirements and iterate on solutions.
- Strong communication skills — ability to translate between business needs and technical implementation.
- Track record of shipping products that people actually use, with measurable impact.
Preferred Qualifications:
- Experience building multi-agent systems or complex LLM orchestration pipelines.
- Familiarity with evaluation frameworks for LLM outputs.
- Full-stack technical skills — ability to build end-to-end from data pipelines through user-facing interfaces.
- Experience with multilingual or global-scale deployments.
- Background in retail, commerce, training/enablement, or enterprise operations domains.