Sr Product Owner, AI Productivity

About the role

Enterprise AI adoption is fundamentally a product and change management challenge, not just a technology one. As Samsung Ads scales AI beyond early adopters, we need a dedicated Product Owner who can: Drive organization-wide AI adoption - We've proven the model works with developers (43%+ AI generated code, 767% adoption growth). Now we need to extend this to every function in the organization.

Responsibilities

• Define and execute the phased AI adoption roadmap across all organizational functions - engineering, product management, operations, sales, and leadership.
• Establish the governance framework: tool selection criteria, security policies, cost controls, acceptable-use policies, and compliance requirements.
• Develop the citizen developer program - enabling non-engineers to build AI-powered automations and workflows without central team bottlenecks.
• Create and maintain the measurement framework: adoption metrics, productivity KPIs, ROI tracking, and time-to-value analysis per use case.
• Own the product backlog for the internal AI platform (AI gateway, model routing, prompt libraries, tool integrations, self-service infrastructure).
• Partner with ML/infrastructure engineers on build-vs-buy decisions for AI tools (LLMs, coding assistants, document AI, workflow automation).
• Run pilot → measure → scale cycles for new AI capabilities across different teams and geographies.
• Manage the multi-tool strategy (Claude, Copilot, Codex, Gemini) including vendor relationships, licensing, and integration architecture.
• Design training and enablement programs tailored to each user persona (developer, PM, operations, leadership).
• Build an internal community of practice - AI champions, office hours, showcases, shared prompt libraries, and best-practice documentation.
• Remove adoption friction through onboarding flows, self-service tooling, documentation, and tiered support channels.
• Track and close the gap between tool access and actual productive usage - drive active engagement, not just provisioning.
• Implement cost controls and usage monitoring across AI services (model routing, token budgets, department chargeback models).
• Partner with Legal, Security, and Compliance on data handling policies, IP protection, and regulatory requirements.
• Define and enforce the organization's AI usage policies - what can and cannot be processed through AI tools.
• Monitor for and mitigate risks: hallucination in critical workflows, over-reliance, shadow AI, data leakage.

Requirements

• 8+ years in product management or product ownership, with at least 3 years focused on internal tools, developer platforms, or enterprise productivity.
• Demonstrated experience driving adoption across large, distributed organizations (1,000+ people across multiple geographies and time zones).
• Track record of building self-service platforms that scale without linear team growth.
• Experience managing product backlogs and cross-functional delivery in Agile environments.
• Required Skills
• Hands-on experience with AI/ML products - you've shipped AI-powered tools or managed AI adoption programs at enterprise scale.
• Strong understanding of LLM capabilities and limitations, prompt engineering, and AI tool evaluation.
• Familiarity with the AI coding assistant landscape (Claude, Copilot, Cursor, Codex) and enterprise deployment patterns.
• Ability to hold technical conversations with ML engineers and evaluate build-vs-buy tradeoffs for AI infrastructure.
• Preferred Skills
• Experience building AI governance frameworks - cost management, security controls, compliance in regulated environments.
• Hands-on experience with LLM orchestration tooling (LiteLLM, API gateways, model routing, token management).
• Background in developer experience (DX) or internal developer platform teams.
• Experience building communities of practice or champion networks at scale.
• Background in advertising technology, media, or high-scale data platforms.
• Advanced degree in Computer Science, Engineering, or Business - or equivalent practical experience.
• You've personally used AI tools extensively in your own workflow and can teach from lived experience.
• Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between Base range: $165,000 ~ $215,000. Actual pay will be determined considering factors such as relevant skills and exper

Benefits

Additional Information

Position Summary Samsung Ads is seeking a Senior Product Owner to lead the "AI for All" initiative - scaling AI tools, workflows, and governance across our global organization. You will own the strategy, roadmap, and delivery of internal AI productivity capabilities, transforming how every team - engineering, product, operations, and business - works. You'll serve as the bridge among AI/ML engineering, enterprise IT, and business stakeholders, translating cutting-edge AI capabilities into measurable gains in organizational productivity. Role and Responsibilities

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