Technical Program Manager, Generative AI & Communications

Role Overview

As a TPM on our GenAI Enablement team, you will craft clear, engaging documentation and learning experiences that accelerate GenAI adoption across software engineering teams, developer support, and engineering operations. You’ll translate complex agentic-AI and generative-AI concepts into tutorials, reference guides, and interactive workshops, empowering teams to integrate AI-driven solutions into their day-to-day workflows.

Key Responsibilities

• Program Leadership: 
  • 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.
• Content Strategy & Development
  
  • Design and maintain a comprehensive set of technical assets: API references, SDK guides, “how-to” tutorials, architecture overviews, and best-practice playbooks.
  • Establish and enforce documentation standards (style, structure, version control) to ensure consistency and discoverability.
• Educational Programs & Workshops
  
  • 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.
• Collaboration & Feedback
  
  • 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.
• Platform & Community Enablement
  
  • 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.
     

Required Qualifications

• Bachelor’s degree in Computer Science, Technical Communication, English, Education, or related field.
• 3+ years of professional technical writing experience, ideally in software engineering or AI/ML domains.
• Exceptional written and verbal communication skills, with a portfolio of published technical content (docs, tutorials, blog posts).
• Comfortable leading live training sessions, online or in person, and adapting to diverse learner skill levels.
   

Preferred Skills & Experience

• 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.
   

Nice to Haves

• Prompt & Content Design: Expertise in prompt patterns, UX writing, and version control for prompt assets
• Cloud & DevOps: Basic 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

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