Sr Product Owner, AI Productivity

Samsung Electronics

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$165,000–$165,000 / yr
Posted
1 day ago
Closes
Jun 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $165k
$155k most similar roles pay here $255k

This role pays less than 74% of similar roles. Most pay $164,748–$245,130 — the shaded band above. At the midpoint, this role pays about $165k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Samsung Electronics

Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.

Samsung Electronics currently has 41 open roles on FindRole.

Listed pay typically runs $170,000–$225,000 across 41 roles with salary data.

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View all roles at Samsung Electronics

At a glance

TL;DR · Sr Product Owner, AI Productivity

Samsung Ads is hiring a Senior Product Owner for its "AI for All" initiative, aiming to scale AI tools and governance across all organizational functions. This role involves defining and executing an adoption roadmap, establishing governance frameworks, developing citizen developer programs, and creating measurement frameworks to track productivity gains. The successful candidate will own the product backlog for internal AI platforms, manage multi-tool strategies, design training programs, and build an internal community of practice while ensuring compliance with legal and security requirements. Ideal candidates have over 8 years of experience in product management or ownership, particularly in enterprise productivity tools, and hands-on experience with AI/ML products and LLM capabilities. Familiarity with AI coding assistants like Claude, Copilot, and Codex is essential, along with the ability to manage cross-functional delivery in Agile environments.

What you'll do

  • Define and execute a phased AI adoption roadmap across all organizational functions.
  • Establish governance frameworks for tool selection criteria, security policies, and compliance requirements.
  • Develop programs enabling non-engineers to build AI-powered automations without central team bottlenecks.
  • Create and maintain measurement frameworks for adoption metrics, productivity KPIs, and ROI tracking.
  • Own the product backlog for internal AI platform tools and integrations.

What we're looking for

  • 8+ years of product management experience with at least 3 years focused on internal tools.
  • Proven track record driving adoption across large, distributed organizations (1,000+ people).
  • Experience managing product backlogs and cross-functional delivery in Agile environments.
  • Hands-on experience shipping AI-powered tools or managing AI adoption programs at enterprise scale.
  • Strong understanding of LLM capabilities, prompt engineering, and AI tool evaluation.
  • Familiarity with the AI coding assistant landscape and enterprise deployment patterns.

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