
Technical Program Manager, Generative AI & Communications
- Aliso Viejo, CA
- Permanent
- Full-time
- Own end-to-end coordination of GenAI/agentic AI projects : setting milestones, breaking goals into deliverables, designing progress-tracking systems, identifying and mitigating risks, and coordinating cross-functional teams.
- Automate recurring non-technical workflows : ticket creation, sprint planning, backlog grooming, and playbook/runbook updates to reduce manual overhead.
- Maintain a multi-quarter roadmap for all AI-native products, balancing new feature development, debt reduction, and operational automation
- Identify repetitive, non-operational tasks across the engineering org and implement automated solutions (bots, scripts, integrations).
- Partner with DevOps and MLOps to embed automation in daily standups, reporting, and documentation updates.
- Design and maintain a comprehensive set of technical assets: API references, SDK guides, “how-to” tutorials, architecture overviews, and best-practice playbooks.
- Develop curricula and deliver hands-on workshops, webinars, and office hours to teach GenAI fundamentals (LLMs, prompt engineering, agent frameworks) and advanced workflows.
- Create self-guided labs and sample projects that enable developers and ops teams to practice and validate new skills.
- Partner closely with AI Solutions Architects, Agentic Systems Engineers, ML Engineers, and Product Managers to gather use cases, review technical accuracy, and prioritize content topics.
- Solicit and incorporate feedback from learners and stakeholders to continuously improve documentation quality and training effectiveness.
- Manage and curate content on documentation platforms (Confluence, Docusaurus, internal wikis), ensuring easy navigation and searchability.
- Cultivate internal community forums or “knowledge hubs” where teams can share tips, code snippets, and success stories.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 5+ years of product management experience in AI/ML or software engineering contexts.
- Proven track record automating workflows and integrating tooling in Agile teams.
- Exceptional written and verbal communication skills, with a portfolio of technical content.
- Hands-on understanding of Generative AI, LLMs, and agentic-AI paradigms.
- Direct experience with Generative AI and agentic systems (LLMs, retrieval-augmented generation, prompt engineering).
- Familiarity with documentation tooling (Markdown, Docusaurus, Sphinx, MkDocs, or Confluence).
- Experience creating interactive labs using Jupyter notebooks, GitHub Codespaces, or similar environments.
- Background in developer advocacy or teaching technical workshops, hackathons, or bootcamps.
- Prompt & Content Design: Expertise in prompt patterns, UX writing, and version control for prompt assets
- Cloud & DevOps: knowledge of Kubernetes, Terraform/CloudFormation, and CI/CD pipelines (GitHub Actions, Jenkins)
- Evaluation & Feedback: Test automation for tutorial validation; familiarity with user feedback tools (Surveys, analytics dashboards)
- Community Building: Experience moderating forums or managing developer communities