> Markdown version of [/jobs/ext/3692125-technical-program-manager-ai-focused](https://www.wearedevelopers.com/jobs/ext/3692125-technical-program-manager-ai-focused). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager (AI Focused) - **Company:** Insight Global - **Location:** San Diego, CA, United States - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Software Applications, JIRA, Scrum Methodology, Software Product Management, Web Applications, Chatbots, Retrieval-Augmented Generation, Generative AI, Cisco - **Published:** October 11, 2026 - **Apply:** https://dejobs.org/x/x/F1B943B83CCE4310AF0DEF5BF2EB3153/job/ ## About the Role 3+ years of product or program management experience in Agile software development environments. 1+ year of hands-on experience testing and evaluating AI tools, chatbots, or generative AI applications. Experience writing and prioritizing features, requirements, and user stories. Strong technical writing and documentation skills. Familiarity with RAG (Retrieval-Augmented Generation) systems and LLM-based applications. Experience with Jira, Agile workflows, sprint planning, and backlog management. Ability to collaborate effectively with technical and non-technical teams. Comfortable working Pacific Time hours to support collaboration with a New Zealand-based development team. Prior Cisco experience ## Description We are seeking a technically savvy and self-driven AI Product Manager to help guide the development, testing, and adoption of AI-powered applications. This role will serve as the bridge between business stakeholders, developers, and data scientists, translating requirements into prioritized product features while ensuring AI solutions deliver accurate, consistent, and valuable outcomes for end users., Manage product backlogs, sprints, and user stories within an Agile development environment. Partner with developers and data scientists to define requirements, assess technical tradeoffs, and resolve issues. Test and evaluate AI tools, chatbots, and LLM-based applications for quality, accuracy, consistency, and user experience. Lead business and user acceptance testing (UAT) for internal web applications. Create clear user-facing documentation, support materials, and process guides. Gather stakeholder feedback and translate business needs into actionable product enhancements. Independently manage priorities and deliverables with minimal oversight.