Staff Technical Product Owner, Generative AI

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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

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Product Definition & Feature Development

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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.

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Automate recurring non-technical workflows : ticket creation, sprint planning, backlog grooming, and playbook/runbook updates to reduce manual overhead.

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Maintain a multi-quarter roadmap for all AI-native products, balancing new feature development, debt reduction, and operational automation

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Identify repetitive, non-operational tasks across the engineering org and implement automated solutions (bots, scripts, integrations).

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Partner with DevOps and MLOps to embed automation in daily standups, reporting, and documentation updates.

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Content Strategy & Development

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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.

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Educational Programs & Workshops

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Develop curricula and deliver hands-on workshops, webinars, and office hours to teach GenAI fundamentals (LLMs, prompt engineering, agent frameworks) and advanced workflows.

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Create self-guided labs and sample projects that enable developers and ops teams to practice and validate new skills.

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Collaboration & Feedback

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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.

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Solicit and incorporate feedback from learners and stakeholders to continuously improve documentation quality and training effectiveness.

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Platform & Community Enablement

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Manage and curate content on documentation platforms (Confluence, Docusaurus, internal wikis), ensuring easy navigation and searchability.

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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 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: 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

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.
$225,600—$338,400 USD

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.