Sr. GTM Specialist, GenAI, AI/ML, Healthcare Life Sciences Full-time

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

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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.

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.

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.