Do you have the business savvy, GenAI background in the Startup space, and Life Sciences-specific technical depth to help position AWS as the cloud provider of choice for the next generation of life sciences innovators? Do you thrive on helping founders with advanced degrees and breakthrough technologies scale transformative businesses? Join the Startup Organization (SUP) team as GTM Executive GenAI Startups – Life Sciences (LS)!
We're seeking a customer-obsessed builder to join our Startup Organization (SUP) team as GTM GenAI Startups lead, focused specifically on Life Sciences.
The GenAI team drives revenue, adoption, and growth from the largest and fastest-growing GenAI startups through strategic partnerships and effective GTM strategies. In the Life Sciences vertical, we focus on startups building frontier models and applications in drug discovery, genomics, clinical trials, connected labs and more.
We work backwards from our customer’s most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. GenAI teams include sales, business development, and technical solutions architecture. As part of the GenAI Startup team, you’ll provide expertise across the entire life cycle of a GenAI startup’s initiative—from product conception to commercial deployment—with a deep focus on the Life Sciences segment. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
This role requires deep subject matter expertise in the life sciences, including an understanding of the unique regulatory, scientific, and technical landscapes. You’ll work directly with C-level executives, PhDs, MDs, and technical founders behind category-defining companies.
This position is part of the GenAI team, where you will be a Technical Business Developer helping startups adopt AWS technologies with a focus on SageMaker, Bedrock, EC2, and services critical to training, deploying, and scaling GenAI workloads in regulated environments.
Key job responsibilities
* Design and execute bespoke GTM strategies with AWS’s top Generative AI startups in the life sciences
* Engage with C-Suite executives, technical founders, clinicians, and data scientists to:
(1) Explore and establish strategic partnerships
(2) Secure GenAI lighthouse customers in the LS sector
(3) Drive top-line revenue
* Develop and maintain deep understanding of AWS offerings (particularly SageMaker, Bedrock, and EC2) and how they apply to LS-specific workloads and compliance requirements
* Serve as a trusted business & technical advisor to our top GenAI LS startup partners, guiding them from product-market fit to global scale
* Lead/oversee cross-functional execution of GTM strategies by collaborating with AWS solution architects, HPC and genomics specialists, marketing, and field teams
* Create strategic documentation, business cases, and executive briefings for both startups and AWS leadership
* Leverage your domain expertise and network to introduce startups to relevant AWS customers, VCs, biopharma decision-makers, and strategic partners
* Stay up to date on the latest trends in generative AI and their applications in the life sciences, including foundation model development, drug discovery, clinical trials, etc
About the team
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.- Strong understanding of AI/ML in production environments, including foundation model development, bioinformatics pipelines, etc
- - 5+ years of developing, negotiating and executing business agreements experience
- - Bachelor's degree
- - Experience developing strategies that influence leadership decisions at the organizational level
- - Experience managing programs across cross functional teams, building processes and coordinating release schedules
- - Strong understanding of AI/ML in production environments, including foundation model development, bioinformatics pipelines, etc- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- 10+ years of customer/partner/CXO facing experience
- 10+ years in GTM or business development
- Bachelor's in Engineering or Computer Science
- 2+ years direct experience in Generative AI space
- Understanding of HPC ML (training/inference of generative AI models)
- Advanced degree (MBA or MS in CS/Engineering)
- Startup background or experience at VC/PE-backed firms
- 8+ years of experience as a founder/operator at a techbio/life sciences startup or within a pharma or biotech company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
