Enterprise AI Product Studio Lead

BioSpace

Washington (District of Columbia)

On-site

USD 150,000 - 210,000

Full time

13 hours ago
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Benefits offered by this job

Stock-based incentives
Comprehensive benefits

Job summary

Amgen is seeking an AI Digital Product Sr Manager for the AI Studio to lead a cross-functional team translating AI capabilities into measurable business impact. You will own strategy, roadmap, and delivery of AI applications, partnering with engineering, data science, UX, and business leaders to drive adoption and value.

You will manage opportunities from discovery through enterprise deployment, instituting rapid experimentation, quality, and scalable patterns while ensuring security and cost

Qualifications

  • Experience leading digital AI products, defining product strategy and roadmaps.
  • Strong technical fluency across AI technologies, cloud platforms, APIs, and modern software development.
  • Demonstrated ability to collaborate with software engineers, AI engineers, data scientists, UX designers, architects, and business stakeholders.
  • Excellent critical thinking, communication, and stakeholder management skills.

Responsibilities

  • Lead AI product strategy and delivery for a portfolio of AI applications and agents.
  • Balance rapid experimentation with enterprise-quality delivery in 2–6 month cycles.
  • Drive customer discovery and partner with scientists and business stakeholders.
  • Translate business needs into product requirements and work with cross-functional teams.

Skills

AI product management
Cross-functional leadership
Technical fluency in AI
Stakeholder management
Effective communication

Education

Master's degree in IT or related field
Bachelor's degree with 8+ years IT experience
Diploma with 12+ years IT experience

Tools

AWS
Azure
Databricks
OpenAI
MLflow

Job description

Amgen is seeking an AI Digital Product Sr Manager for the AI Studio to lead a cross-functional team translating AI capabilities into measurable business impact. You will own strategy, roadmap, and delivery of AI applications, partnering with engineering, data science, UX, and business leaders to drive adoption and value.

You will manage opportunities from discovery through enterprise deployment, instituting rapid experimentation, quality, and scalable patterns while ensuring security and cost

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