Digital Product Sr Manager (AI) - REMOTE at Amgen
Washington, DC 20004, USA -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

199318.0

Posted On

03 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Product Management, Nlp, Computational Biology, Clinical Data

Industry

Information Technology/IT

Description

Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

BASIC QUALIFICATIONS:

Doctorate degree and 2 years of Information/Tech Systems experience
Or
Master’s degree and 4 years of Information/Tech Systems experience
Or
Bachelor’s degree and 6 years of Information/Tech Systems experience
Or
Associate’s degree and 10 years of Information/Tech Systems experience
Or
High school diploma / GED and 12 years of Information/Tech Systems experience

PREFERRED QUALIFICATIONS:

  • 8+ years of product management (or related) experience; 5+ years in AI/ML or data-driven enterprise products.
  • Experience with AI platforms, MLOps, or enterprise AI architecture.
  • Deep familiarity with AI (e.g., LLMs, agents, NLP) and ML productization at scale.
  • Strong presentation and public speaking skills with experience communicating to executives
  • Familiarity with biotech workflows (e.g., lab automation, computational biology, clinical data, etc).
  • Hands-on ability to analyze product usage, model output quality, or build A/B experiments.
Responsibilities

WHAT YOU WILL DO

Let’s do this. Let’s change the world. In this vital role you will lead the strategy, and execution of AI products and platforms across Amgen. You’ll build and deliver intelligent tools that accelerate scientific discovery, streamline R&D workflows, and enable smarter decision-making across a complex biotech environment.
As a Digital Product Sr Manager, you will operate autonomously and cross-functionally—partnering with engineering, data scientists, software engineers and domain experts. You will translate the potential of LLMs, agent-based AI, and ML platforms into high-impact solutions for scientific users. This is a high-ownership role at the intersection of AI innovation and biotech transformation.

WHAT YOU’LL DO

  • Lead Product Ownership for AI Solutions: Act as the Product Owner within an Agile framework, ensuring that AI products meet the needs of customers and align with the organization’s strategic goals. This includes defining the vision, roadmap, and priorities for products within the AI portfolio.
  • Bridge Technical and Business Strategy: Serve as a key liaison between cross-functional teams, including Business, and external partners. Translate business needs into technical requirements and prioritize initiatives to increase impact.
  • Facilitate AI Initiative Progression: Oversee the end-to-end lifecycle of AI and machine learning initiatives from inception thru scale, applying AI PM tools for discovery, prototyping and customer insights.
  • Champion Value Acceleration and Scalability: Own the scaling process for AI products, implementing standard methodologies in product and platform scaling to ensure AI solutions are enterprise-ready.
  • Own product metrics, usage analytics, and model performance KPIs; iterate based on data and feedback.
  • Engage directly with scientists, researchers, and internal stakeholders to deeply understand problems and validate solutions.
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