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

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

What We're Looking For

• 8–10 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.

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