AI Digital Product Sr Manager – Agentic Platform (REMOTE)
RemoteUnited States
Job Summary
Lead product strategy and execution for Amgen's Enterprise Agentic Ecosystem Platform, owning the lifecycle from discovery through enterprise scale. Drive the evolution of reusable capabilities including agent orchestration, memory, tool integration, and observability while championing an exceptional developer experience through SDKs, APIs, and self-service tooling. Translate business needs into technical requirements, prioritize initiatives to increase impact, and establish governance, guardrails, and evaluation standards in partnership with Responsible AI, Security, and Enterprise Architecture. Scale platform adoption by optimizing reliability, latency, and inference costs while ensuring enterprise-grade security and compliance.
Required Qualifications
- Experience in leading products, defining roadmaps and tracking the success of the product
- Strong technical fluency with cloud-native software platforms
- Ability to collaborate effectively with software engineers, AI engineers, platform engineers, architects, data scientists, and business stakeholders
- Excellent critical thinking, problem solving, and communication skills
- Master's degree and 6 years of Product/AI/Information/Tech Systems experience
- Bachelor's degree and 8 years of Product/AI/Information/Tech Systems experience
- Diploma and 12 years of Product/AI/Information/Tech Systems experience
Desired Qualifications
- 8+ years of product management or related experience
- 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 that enable internal or external developers
- Strong understanding of LLMs, AI agents, retrieval-augmented generation (RAG), agent orchestration, model serving, AI evaluation, and ML productization in enterprise environments
- Experience with modern AI and cloud technologies such as AWS, Databricks, MLflow, OpenAI Agents SDK, LangGraph, AutoGen, or comparable AI development platforms and frameworks
- Experience with cloud-native architectures, APIs, SDKs, microservices, event-driven systems, and modern software engineering practices
- Ability to partner effectively with engineering teams on technical architecture and product decisions
- Experience defining and measuring developer experience, platform adoption, product analytics, customer success metrics, and platform health
- Experience using data to drive product decisions and prioritization
- Experience establishing or partnering on Responsible AI, security, privacy, governance, and compliance practices for enterprise AI platforms
- Experience including guardrails, policy enforcement, and evaluation standards
- Strong executive communication and stakeholder management skills
- Experience presenting product strategy, technical vision, and business outcomes to senior leadership
- Hands-on experience using experimentation, telemetry, observability, and customer feedback to improve platform adoption, product quality, and user experience
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