13 часов назад
AI Digital Product Sr Manager Agentic Platform (REMOTE)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Digital Product Sr Manager Agentic Platform (REMOTE) (Enterprise AI and Agentic Platform): Leading the strategy, execution, and evolution of a secure cloud-native platform for building, deploying, governing, and scaling enterprise AI agents with an accent on reusable SDKs, APIs, orchestration, developer tooling, observability, and governance. Focus on defining AI platform roadmaps, improving developer experience and adoption, and establishing evaluation frameworks for quality, safety, reliability, latency, cost, and Responsible AI compliance.
Location: Remote role associated with Washington D.C., District of Columbia, United States
Company
is a biotechnology company developing and delivering medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.
What you will do
- Lead product ownership and roadmap evolution for an enterprise agentic AI platform.
- Develop reusable platform capabilities for agent orchestration, memory, tool integration, model routing, identity, observability, deployment, and governance.
- Improve developer experience through SDKs, APIs, templates, documentation, reference implementations, self-service features, and internal tooling.
- Lead AI initiatives from discovery through enterprise scale while optimizing reliability, scalability, latency, and inference costs.
- Define and track platform adoption, developer experience, model quality, reliability, latency, cost efficiency, Responsible AI compliance, and customer satisfaction metrics.
- Partner with Responsible AI, Security, Privacy, Legal, Enterprise Architecture, engineering, and business teams on governance, guardrails, evaluation standards, and policy enforcement.
Requirements
- 8+ years of product management or related experience, including 5+ years delivering AI/ML, developer platform, cloud platform, or enterprise software products.
- Experience building or managing enterprise AI platforms, developer platforms, platform-as-a-product, or shared platform capabilities.
- Strong understanding of LLMs, AI agents, retrieval-augmented generation, agent orchestration, model serving, AI evaluation, and ML productization.
- Experience with cloud-native architectures, APIs, SDKs, microservices, event-driven systems, and modern software engineering practices.
- Experience with technologies such as AWS, Databricks, MLflow, OpenAI Agents SDK, LangGraph, AutoGen, or comparable platforms.
- Master’s degree with 6 years, bachelor’s degree with 8 years, or diploma with 12 years of Product, AI, Information, or Tech Systems experience.
Culture & Benefits
- Flexible work models where applicable.
- Retirement and savings plan with company contributions.
- Medical, dental, vision, life, and disability insurance.
- Discretionary annual bonus program and stock-based long-term incentives.
- Award-winning paid-time-off plans and career development opportunities.
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