Staff Technical Product Owner, Generative AI

PlayStation Global•San Mateo, CA

About The Position

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. 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.

Requirements

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.

Nice To Haves

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 communitie

Responsibilities

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. Establish and enforce documentation standards (style, structure, version control) to ensure consistency and discoverability.
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.