Drimva

Amazon

Sr. Customer Solutions Manager, Global Healthcare & Life Sciences Industries

$177K–$239K

San Jose, CA +2 · Manager · Full-time · Posted Oct 6, 2026

Location
San Jose, CA
Santa Clara, CA
San Francisco, CA
Experience
7+ years leading large-scale technical or engineering programs; 10+ years in customer-facing technology roles; 5+ years engaging senior/executive customer stakeholders; 3+ years hands-on cloud computing experience.
Education
Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

About the job

Leads healthcare and life sciences customers through AWS cloud and AI adoption, migrations, and transformation programs, coordinating stakeholders and measuring business outcomes.

What you'll do

  • Guide customers through cloud adoption, migration, and transformation, including operational, educational, and governance activities.
  • Coordinate customer, AWS, and cross-functional teams to plan migrations, execute account strategies, and track progress against business outcomes.
  • Identify strategic opportunities, promote AWS services, and represent customer needs to AWS leadership, product, and engineering teams.

What they ask for

  • 7+ years leading large-scale technical or engineering programs, including business-case development, customer benefits, and successful completion.
  • 10+ years in customer-facing technology roles.
  • 5+ years engaging Director+ customer stakeholders to drive business outcomes through technology adoption.
  • 3+ years hands-on cloud computing experience; bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

Nice to have

  • Experience advising C-suite or VP-level executives on cloud strategy, digital transformation, or Gen AI/Agentic strategy.
  • Familiarity with Generative AI / Agentic AI concepts, or experience managing complex, high-value workloads.

Pay

176,600.00 - 239,000.00 USD annually (base salary)

Tools

AWS, cloud computing, Generative AI, Agentic AI, data & analytics, high performance computing, AI/ML

AI focus

Facilitates customer AI transformation and strategic conversations about GenAI/Agentic AI use cases, adoption frameworks, and business impact.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)