Director, Product Management - Tech, AWS Life Sciences, Amazon Life Sciences

AWS Life Sciences, part of the AWS Applied AI Solutions organization, seeks a strong product leader to serve as General Manager of our Life Sciences organization. We're on a mission to transform drug discovery, clinical development, and clinical diagnostics by delivering purpose-built AI solutions for life sciences researchers and organizations. Our portfolio includes foundational capabilities in HealthOmics and HealthImaging, alongside innovative end-user applications. This role will help realize our vision of "Every business innovating with Amazon AI teammates" while building delightful AI solutions that improve human capabilities and business outcomes.

Key job responsibilities
Own and drive the multi-year vision, strategy, and execution roadmap for AWS Life Sciences products across drug discovery, clinical development, and diagnostics
Lead development of foundational capabilities in HealthOmics and HealthImaging while identifying new opportunities for AI-powered life sciences solutions
Drive key PRFAQs and OP1 documents for executive review, securing leadership alignment on strategic initiatives
Define and own business metrics, P&L responsibilities, and growth strategies
Partner with scientific, engineering, and go-to-market leaders to accelerate adoption of AWS Life Sciences solutions
Build and nurture executive relationships with pharmaceutical, biotech, and research organization leaders
Represent AWS Life Sciences strategy at executive forums and drive strategic partnerships
Lead and develop senior product leaders while fostering a culture of innovation and scientific excellence

BASIC QUALIFICATIONS

10+ years of product management experience in enterprise software
Deep experience in life sciences technology, particularly in drug discovery, bioinformatics, or clinical trials
Experience driving enterprise-scale product strategy and execution
Track record of building and leading senior product teams
Experience with P&L ownership and pricing strategies
Strong technical background with understanding of AI/ML technologies
Bachelor's degree in Life Sciences, Computer Science, or related field

PREFERRED QUALIFICATIONS

Advanced degree (PhD/MS) in Computational Biology, Bioinformatics, or related field
MBA from top-tier institution
Experience with omics data analysis platforms and workflows
Deep understanding of clinical development processes and regulatory requirements
Track record of successful enterprise product launches in life sciences
Experience with cloud computing platforms and distributed systems
Publication record or patents in life sciences technology
Demonstrated success in building partner ecosystems
Strong stakeholder management and communication skills

This role offers the unique opportunity to leverage Amazon's AI expertise to revolutionize life sciences research and development, working at the intersection of advanced technology and critical healthcare challenges.


Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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