6 дней назад
Senior Product Manager (AI)
130 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI): Building and deploying agentic AI products for NBCUniversal business teams with an accent on LLMs, RAG architecture, multi-agent orchestration, and enterprise data integration. Focus on translating ambiguous business problems into measurable product requirements, evaluating agent quality, and shipping scalable solutions that improve operational decision-making.
Location: Universal City, California, United States
Salary: $130,000–$170,000 per year, bonus eligible
Company
is a global media and entertainment company operating film, television, streaming, news, consumer products, and theme park businesses.
What you will do
- Identify high-value business use cases for agentic AI products, deployment, tool adoption, and infrastructure architecture.
- Build and ship end-to-end agentic solutions, including conversational agents, multi-agent orchestration, tool use, and structured reasoning.
- Translate ambiguous business challenges into scoped product requirements, success metrics, and delivery plans.
- Partner with business and client-facing teams to co-develop solutions that can be customized, maintained, and operated after deployment.
- Measure adoption, output quality, user journeys, time-to-insight, and other product KPIs to optimize business outcomes.
- Implement evaluation frameworks, monitor production accuracy, iterate prompts, and present documentation, demos, and AI-driven analytics capabilities.
Requirements
- Bachelor’s degree in data analytics, computer science, or a related field.
- 8+ years of experience in digital product development or a closely related field.
- Expertise in LLMs, RAG architecture, prompt engineering, tool use, agent orchestration, NLP, machine learning, and big data analytics.
- Hands-on experience with large datasets, enterprise data architectures, systems integration, data governance, and security compliance.
- Experience with AI platforms, cloud services, analytics tools, and Python, Azure, AWS, or Google Cloud.
- Strong communication, collaboration, requirements definition, SDLC, iteration planning, user story writing, and rollout management skills.
Nice to have
- Experience building multi-agent systems, complex LLM orchestration pipelines, or LLM evaluation frameworks.
- Ability to build end-to-end prototypes from data pipelines through user-facing interfaces.
- Experience with ERP systems, media, commerce, enablement, or enterprise operations.
- Experience with MCP or similar tool-use frameworks and embedded solutions engineering.
Culture & Benefits
- Medical, dental, and vision insurance.
- 401(k), paid leave, and tuition reimbursement.
- Employee discounts and additional company benefits.
- External candidates may be required to attend an in-person interview at an location.
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