AI Product Manager (Enterprise)
Мэтч & Сопровод
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Описание вакансии
TL;DR
AI Product Manager (Enterprise): Building and scaling enterprise AI products and capabilities to drive business impact with an accent on cross-functional collaboration and responsible AI governance. Focus on translating emerging AI trends into scalable enterprise solutions, managing the full product lifecycle, and fostering organizational AI adoption.
Location: Must be based in El Segundo, California
Salary: $140,000–$170,000 Yearly
Company
is a leading global toy and family entertainment company with an iconic portfolio of brands including Barbie, Hot Wheels, and Fisher-Price.
What you will do
- Define and execute AI product strategy aligned with business priorities and Office of AI objectives.
- Lead end-to-end AI product lifecycle management from discovery through launch and scale.
- Collaborate with commercial, finance, and legal teams to integrate AI solutions into business workflows.
- Develop product roadmaps balancing innovation, feasibility, and enterprise governance standards.
- Champion responsible AI principles including privacy, security, and intellectual property protection.
- Drive user-centric AI experiences and support organizational change management and AI literacy.
Requirements
- 10+ years of product management experience, including work with AI/ML, Generative AI, or Agentic AI.
- Proven track record of launching and scaling AI products in complex enterprise environments.
- Ability to write detailed product requirements for AI-powered workflows, APIs, and platform capabilities.
- Strong communication skills to influence executive and operational stakeholders.
- Familiarity with AI governance, privacy, security, and compliance frameworks.
- Experience leading cross-functional initiatives in matrixed organizations.
Nice to have
- Deep understanding of AI stacks such as OpenAI APIs, AWS Bedrock, Google Vertex AI, and LangChain.
- Experience with LLM performance optimization, token efficiency, and inference cost management.
- Knowledge of AI observability, monitoring, and evaluation frameworks.
- MBA or advanced degree in Business, Computer Science, Engineering, or Data Science.
Culture & Benefits
- Competitive total pay programs and comprehensive benefits.
- Inclusive workplace culture focused on belonging and empowerment.
- Opportunity to work on innovative products within a globally recognized brand portfolio.
- Commitment to professional growth and organizational transformation.
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