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Technical Product Manager, Generative AI & Communications

Speciality Accent: Technical Writer & Educator

 

Role Overview

As the Technical Product Manager for Generative AI & Communications, you will define and drive our suite of AI-native engineering enablement products, from vision and roadmap through delivery, while automating repetitive, non-technical workflows to maximize team productivity. You’ll own feature definition, sprint planning, and playbook development, and you’ll craft the content strategy and educational programs that boost GenAI literacy and adoption across the organization.

 

Key Responsibilities

• Product Definition & Feature Development

• • 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.

• 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 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. 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 simila