
10.000+ funcionários
Fundada em 1980
🏥 Saúde
🧬 Biotecnologia
💊 Farmacêutico
💰 $28.500.000.000 Post-IPO Debt em 2022-12
Healthcare • Biotechnology • Pharmaceuticals
A Amgen está comprometida a liberar o potencial da biologia para pacientes que sofrem de doenças graves, descobrindo, desenvolvendo, fabricando e fornecendo terapias humanas inovadoras. Esta abordagem começa utilizando ferramentas como genética humana avançada para desvendar as complexidades das doenças e entender os fundamentos da biologia humana.
🕒 Agosto 4
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $162.048 - $219.241 / ano
⏰ Tempo Integral
🟠 Sênior
✅ Gerente de Produto
🦅 Patrocina Visto H1B
👻 Score fantasma 5%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
Fundada em 1980
🏥 Saúde
🧬 Biotecnologia
💊 Farmacêutico
💰 $28.500.000.000 Post-IPO Debt em 2022-12
Healthcare • Biotechnology • Pharmaceuticals
A Amgen está comprometida a liberar o potencial da biologia para pacientes que sofrem de doenças graves, descobrindo, desenvolvendo, fabricando e fornecendo terapias humanas inovadoras. Esta abordagem começa utilizando ferramentas como genética humana avançada para desvendar as complexidades das doenças e entender os fundamentos da biologia humana.
• Lead the strategy, execution, and evolution of Amgen’s Enterprise Agentic Ecosystem Platform • Own product strategy for a secure, cloud-native AI platform with reusable services, SDKs, APIs, orchestration, developer tooling, observability, and governance • Act as Product Manager within an Agile framework • Drive evolution of agent orchestration, memory, tool integration, model routing, identity, observability, deployment services, and governance capabilities • Champion developer experience through reusable SDKs, APIs, templates, documentation, reference implementations, self-service capabilities, and internal developer tooling • Translate business needs into technical requirements and prioritize initiatives • Lead AI initiatives from discovery through enterprise scale • Identify reusable platform capabilities and optimize reliability, scalability, latency, and AI inference costs • Own platform health and adoption metrics, including usage, active builders, developer experience, adoption, model quality, reliability, latency, cost efficiency, Responsible AI compliance, and customer satisfaction • Establish governance, guardrails, evaluation standards, and policy enforcement with Responsible AI, Security, Privacy, Legal, and Enterprise Architecture teams • Define evaluation frameworks for quality, safety, reliability, latency, hallucination risk, cost, and business outcomes • Collaborate cross-functionally with engineering, platform architecture, Responsible AI, security, and business teams
• Experience leading products, defining roadmaps, and tracking product success • Strong technical fluency with cloud-native software platforms • Ability to collaborate 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, or Bachelor’s degree and 8 years of experience, or Diploma and 12 years of experience • Preferred: 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, RAG, agent orchestration, model serving, AI evaluation, and ML productization • Experience with AWS, Databricks, MLflow, OpenAI Agents SDK, LangGraph, AutoGen, or comparable platforms and frameworks • Experience with cloud-native architectures, APIs, SDKs, microservices, event-driven systems, and modern software engineering practices • Experience defining and measuring developer experience, platform adoption, product analytics, customer success metrics, and platform health • Experience with Responsible AI, security, privacy, governance, and compliance practices • Strong executive communication and stakeholder management skills • Hands-on experience with experimentation, telemetry, observability, and customer feedback • Sponsorship for this role is not guaranteed
• Comprehensive employee benefits package • Retirement and Savings Plan with generous company contributions • Group medical, dental & vision coverage • Life & disability insurance • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance support
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