Principal Technical Product Manager- External Services, Aws Life Sciences Applied Ai, Aws Life Sciences

Amazon Amazon · Big Tech · Seattle, WA · Project/Program/Product Management--Technical

Principal Technical Product Manager for AWS Life Sciences Applied AI, focusing on developing AI-driven applications for clinical trials. The role involves leading product development for generative AI agent-based experiences to transform clinical trial design, execution, and delivery, aiming to replace manual processes with intelligent systems.

What you'd actually do

  1. lead pioneering product development for AI-driven clinical trials transformation
  2. guide a team of builders (product managers, developers, and scientists) to invent and simplify on behalf of pharmaceutical companies, biotech firms, and clinical operations teams—defining novel, generative AI agent-based experiences that help them accelerate the path from discovery to treatment
  3. drive innovation by reimagining how clinical evidence is generated and how trial operations are managed, replacing fragmented manual processes with intelligent, continuously learning systems
  4. defining key product directions, adopting or inventing new machine learning techniques, reimagining user workflows and experiences, and fundamentally changing how life-saving therapies reach patients

Skills

Required

  • 7+ years of working as a Technical Product Manager experience
  • 5+ years of technical (software development, network development, IT, other related) experience
  • Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)
  • Experience with clinical development workflows, including evidence generation, data transformation, or clinical operations
  • Demonstrated understanding of clinical trial processes, regulatory submissions, and clinical data standards (e.g., CDISC, SDTM, ADaM)

Nice to have

  • Advanced degree (MS or PhD) in Biostatistics, Clinical Informatics, Health Informatics, or related field, or equivalent industry experience
  • Track record of successful product launches that leverage ML/AI technologies
  • Strong technical background with ability to evaluate emerging technologies and contribute to technical discussions around clinical data systems and agentic AI
  • Experience leading cross-functional teams and collaborating with research scientists, engineers, and business stakeholders
  • Proven ability to translate complex clinical and regulatory concepts into clear product requirements and user experiences

What the JD emphasized

  • generative AI agent-based experiences
  • agentic AI

Other signals

  • generative AI agent-based experiences
  • reimagining user workflows and experiences
  • adopting or inventing new machine learning techniques