Senior AI Digital Product Manager – Agentic Platform

🕒 vor 1 Tag

🇺🇸 Vereinigte Staaten – Remote

💵 $162.048 - $219.241 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Amgen

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1980

🏥 Gesundheitswesen

🧬 Biotechnologie

💊 Pharmazie

💰 €28.500.000.000 Post-IPO Debt im 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen ist ein weltweit führendes Unternehmen in der Biotechnologie, das sich auf die Entwicklung und Vermarktung innovativer Arzneimittel aus lebenden Zellen konzentriert. Das Unternehmen hat zum Ziel, schwere Krankheiten zu behandeln, wobei oft Krankheiten im Fokus stehen, für die es nur begrenzte therapeutische Möglichkeiten gibt. Amgen legt großen Wert auf wissenschaftliche Innovation und ist der ethischen Forschung, der Patientensicherheit und der ökologischen Nachhaltigkeit verpflichtet. Es ist aktiv in klinischen Studien engagiert und bekannt für seine Beiträge in den Bereichen Krebsbehandlung und Adipositas-Management unter anderem.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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