1 день назад
AI Product Manager
140 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Manager (Enterprise AI): Building and scaling AI-powered enterprise products and capabilities across commercial, finance, and legal functions with an accent on product strategy, responsible AI governance, and user adoption. Focus on defining AI roadmaps, leading end-to-end product delivery, operationalizing governance, and optimizing LLM performance, observability, and enterprise scalability.
Location: El Segundo, California, United States; onsite at HQ
Salary: USD 140,000–170,000 per year
Company
is a global toy and family entertainment company creating toys, content, consumer products, digital experiences, and live experiences through an iconic portfolio of brands.
What you will do
- Define and execute AI product strategy aligned with business priorities and Office of AI objectives.
- Identify, evaluate, and prioritize enterprise AI opportunities, technologies, platforms, and vendors.
- Lead the full AI product lifecycle from discovery and requirements through launch, scaling, and adoption.
- Develop product roadmaps, user journeys, KPIs, success metrics, and experimentation frameworks.
- Partner with commercial, finance, legal, privacy, security, technology, and executive stakeholders.
- Operationalize responsible AI governance and support AI literacy, enablement, and organizational change.
Requirements
- 10+ years of product management experience, including AI/ML, Generative AI, or Agentic AI.
- Proven experience launching and scaling AI products in complex enterprise environments.
- Experience writing detailed product requirements for AI workflows, APIs, integrations, and platform capabilities.
- Ability to influence and communicate with executive and operational audiences in matrixed organizations.
- Familiarity with AI governance, responsible AI, privacy, security, and compliance.
- Ability to work onsite in El Segundo, California.
Nice to have
- Experience with OpenAI APIs, AWS Bedrock, Google Vertex AI, LangChain, vector databases, and workflow orchestration tools.
- Experience with enterprise AI transformation, workflow automation, knowledge management, or productivity platforms.
- Knowledge of LLM performance optimization, inference cost management, context window strategies, and model utilization.
- Experience implementing AI observability, monitoring, and evaluation frameworks.
- MBA or advanced degree in business, computer science, engineering, data science, or a related field.
Culture & Benefits
- Purpose-driven environment focused on empowering generations through play.
- Collaborative culture with shared goals and cross-functional partnership.
- Emphasis on innovation, experimentation, accountability, and execution.
- Competitive total pay programs, comprehensive benefits, and resources supporting employee development.
- Inclusive workplace committed to belonging and equal employment opportunity.
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