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(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
- 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
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