Senior Manager, AI Digital Product, AI Studio

Amgen

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Thousand Oaks, CA
Salary
$162,048–$219,241 / yr
Employment
Full-time
Posted
85 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $191k
$150k $263k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $177,250–$240,000 — the blue band above. At the midpoint, this role pays about $191k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 76 open roles on FindRole.

Listed pay typically runs $136,906–$185,227 across 45 roles with salary data.

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View all roles at Amgen

At a glance

TL;DR · Senior Manager, AI Digital Product, AI Studio

The AI Digital Product Sr Manager - AI Studio leads a cross-functional product team to discover, build, launch, and scale AI-powered solutions. This role involves translating emerging AI capabilities into production-ready enterprise applications that accelerate scientific discovery, streamline R&D workflows, and improve enterprise decision making. The manager owns the strategy, roadmap, and delivery of a portfolio of AI applications and intelligent agents, balancing rapid experimentation with enterprise quality. Key responsibilities include driving customer discovery with scientists and researchers, managing product KPIs like model quality and latency, and building reusable product patterns. Required skills include technical fluency in AI technologies, cloud platforms, APIs, and modern software development. Preferred expertise includes LLMs, RAG, prompt engineering, and platforms like AWS, Azure, Databricks, OpenAI, and MLflow within biotechnology and pharmaceutical research workflows.

What you'll do

  • Own the strategy, roadmap, prioritization, and delivery of a portfolio of AI applications and intelligent agents.
  • Lead a cross-functional product team through discovery, delivery, and continuous improvement of AI-powered solutions.
  • Partner with scientists and business stakeholders to identify high-value AI opportunities and validate solutions through rapid prototyping.
  • Translate business needs into technical product requirements for engineering, data science, and UX teams.
  • Lead AI products from opportunity discovery through enterprise deployment using iterative delivery and customer feedback.
  • Build reusable product patterns to ensure AI solutions are scalable, reliable, secure, and cost-effective.
  • Track and own product KPIs including adoption, model quality, reliability, latency, and overall business impact.

What we're looking for

  • Experience leading digital AI products, defining product strategy and roadmaps, and measuring product success.
  • 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.
  • Master's degree and 6 years of Information/Technology Systems experience OR Bachelor's degree and 8 years of Information/Technology Systems experience OR Diploma and 12 years of Information/Technology Systems experience.
  • 8+ years of product management experience, including 5+ years delivering AI/ML, enterprise software, or digital products (preferred).
  • Experience leading cross-functional teams delivering AI applications, intelligent agents, or enterprise software from concept through enterprise adoption (preferred).
  • Strong understanding of LLMs, AI agents, RAG, prompt engineering, AI evaluation, and ML productization in enterprise environments (preferred).

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