Sr GenAI GTM BD, Life Sciences
Sr GenAI GTM BD, Life Sciences
Posted on :
23-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
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)!
Were 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 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 customers 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 youll provide expertise across the entire life cycle of a GenAI startups initiativefrom product conception to commercial deploymentwith 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. Youll 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 AWSs 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
- - Bachelors 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
- Bachelors 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 for more information. If the country/region youre applying in isnt 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 $133200/year in our lowest geographic market up to $220200/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Were 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 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 customers 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 youll provide expertise across the entire life cycle of a GenAI startups initiativefrom product conception to commercial deploymentwith 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. Youll 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 AWSs 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
- - Bachelors 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
- Bachelors 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 for more information. If the country/region youre applying in isnt 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 $133200/year in our lowest geographic market up to $220200/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
