Product Owner (Enterprise AI Strategy)

Product Owner (Enterprise AI Strategy)

We're partnering with a global consumer products company to find an experienced Product Owner (Enterprise AI Strategy). This is a highly visible opportunity to influence how Generative AI and Agentic AI are adopted across a global organization, working closely with executive leadership and cross-functional teams. Pay: $50-85/hr Duration: 7/6/26 to 12/27/2026 Location: On-site in El Segundo What You'll Do

1. Own and drive enterprise AI product strategy, roadmap, and adoption across multiple business functions.
2. Partner with senior stakeholders to identify high-impact AI opportunities through workshops, ideation sessions, and innovation initiatives.
3. Prioritize AI use cases and translate business needs into scalable AI solutions.
4. Lead the development and adoption of Generative AI and Agentic AI products that deliver measurable business value.
5. Champion new AI-powered business models and present recommendations to executive leadership.
6. Establish Responsible AI principles and governance by partnering with legal, security, and compliance teams.
7. Collaborate with engineering and technology teams to successfully deliver AI products.
8. Drive AI adoption through education, enablement programs, workshops, and internal training.
9. Build relationships with AI industry leaders, academic institutions, and strategic partners to stay ahead of emerging trends.

What We're Looking For

• 810+ years of experience in Product Management, AI Strategy, AI Product Ownership, or a related field.
• Experience building and scaling enterprise platforms leveraging Generative AI and Agentic AI.
• Strong understanding of machine learning fundamentals and practical AI applications in enterprise environments.
• Proven experience leading complex cross-functional product initiatives from strategy through execution.
• Ability to influence executive stakeholders and communicate technical concepts to business audiences.
• Experience developing AI governance, responsible AI frameworks, or AI operating models is highly preferred.
• Bachelor's degree required; Master's, MBA, or PhD in Computer Science, Data Science, Engineering, or a related discipline is a plus.
• Curious, innovative mindset with a passion for emerging AI technologies and continuous learning.

Please submit your resume for consideration! We will consider qualified candidates with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. California applicants, please view our Privacy Notice here.