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Sr. GTM Specialist, GenAI, AI/ML, Healthcare Life Sciences
Amazon
Software Engineering, Data Science
San Francisco, CA, USA
Posted on Jul 22, 2024
DESCRIPTION
Do you see AI, machine learning, and generative AI (GenAI) as the next evolution of Cloud technology? Are you customer-obsessed and passionate about helping customers achieve their full potential? Do you have the business savvy, and deep scientific background necessary to help position AWS as the cloud provider of choice for healthcare & life sciences (HCLS) customers?
Amazon Web Services Sales, Marketing, and Global Services (AWS SMGS) drives revenue, adoption, and growth of Cloud technology, from the fastest-growing biotechs to enterprise-level biopharma and healthtech customers, including in the public sector.
Join our team as an AI/ML, GenAI Business Development Specialist!
Key job responsibilities
Lead GTM to orchestrate sales motions for sales, marketing, partner, product, training, and professional services teams to accelerate adoption of AI-based HCLS solutions.
Leverage your deep domain expertise to create best-in-class field enablement and sales strategy.
Support field teams in solution building for high-priority customers.
Bring market signals back to product teams to drive innovation on AWS product roadmaps.
Own reporting and planning cadences to AWS executives on GTM plan execution.
Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, and symposia.
About the team
Within SMGS, the Worldwide Specialist Organization (WWSO) works backwards from our customers’ most complex and business critical problems to build and execute go-to-market (GTM) plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams comprise Specialists with deep technology chops and future-leaning industry expertise. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on Thinking Big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent in chemistry, biology, physics, statistics, or computer science
- 5-10 years experience working in a biopharmaceutical, health-tech, university research, or hospital-based role
- Data competency: experience using metrics and forecasting to determine and drive improvements
- Understanding of the emerging domains of AI/ML and GenAI as applied to life sciences use cases
PREFERRED QUALIFICATIONS
- MS, MD, Ph.D., or equivalent experience (10+ years) in a Large/Mature Pharma Commercial, Data Science, Medical Affairs, Clinical Trials, Supply Chain and Manufacturing and Patient Experience Teams highly valued
- Proven delivery of a relevant technical solution to help HCLS customers. Data and metrics to show success.
- Experience in business development, consulting, sales, or alliances in the Healthcare or Life Sciences sector.
- Communications (both written and verbal) skills, including experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders
- Established track record of credibility as a technology advisor with customer executives (e.g. CxOs and VPs) and Line of Business Leaders
- Experience in a matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions
- Deep understanding of cloud technologies, including public and hybrid cloud platforms
- Ability to communicate state of the business through Business Intelligence Dashboards.
- Strong interpersonal skills
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.