Sr. SDM, AWS Healthcare AI
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
The Healthcare AI organization in AWS is seeking an exceptional Senior Software Development Manager to lead new v1 services and existing services such as HealthLake, Comprehend Medical, and HealthScribe. Our products make it easy for providers and payers to improve the health of individuals and populations, reduce the cost of care, and deliver exceptional care. You will work with a diverse team brought together and motivated by work that improves people's lives, while being challenged on a daily basis. You will lead multiple teams of software engineers and applied scientists, driving the technical direction and delivery of services that are transforming healthcare through cloud computing and artificial intelligence. This is an area that requires solving the hardest engineering challenges to enable data processing, analytics, and machine learning solutions for our customers. Our services have to be scalable, efficient, and extremely fault tolerant. Experience with data processing, analytics and/or machine learning systems is required.
Key job responsibilities
- Drive technical strategy, design, development, deployment, and operations for new and existing AWS services such as HealthLake, Comprehend Medical, and HealthScribe.
- Lead and mentor multiple managers and their teams, including software developers and applied scientists.
- Collaborate with senior leadership and cross-functional teams to define product vision, roadmap, and create impactful solutions.
- Build and grow high-performing teams.
- Drive architectural decisions for large-scale, highly available cloud services.
- Ensure operational excellence and compliance with industry standards.
- Manage multiple concurrent programs and projects in an intrapreneurial environment.
- Foster a culture of innovation, inclusion, and technical excellence.
- Solve complex challenges that healthcare organizations face today through innovative use of cloud and AI technologies.
A day in the life
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.
About the team
- Shape the future of AI for healthcare.
- Work on meaningful problems that improve lives globally.
- Access to industry leading technology and vast resources.
- Collaborate with world-class researchers and engineers.
BASIC QUALIFICATIONS
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Proven ability to lead and mentor interdisciplinary teams.
- Excellent communication skills, and can present technical concepts to technical and non-technical audiences, including C-level executives.
- Experience with cloud computing platforms, ideally AWS.
- Experience with data processing, analytics and/or machine learning systems.
- Passion for applying ground breaking AI to solve complex business challenges at a global scale.
- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
- Goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed.
PREFERRED QUALIFICATIONS
- Masters or PhD in Computer Science or Engineering or equivalent.
- Experience building machine learning based platforms.
- Experience with healthcare industry standards (e.g. HIPAA, FHIR)
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.
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 $198,100/year in our lowest geographic market up to $342,300/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.
Key job responsibilities
- Drive technical strategy, design, development, deployment, and operations for new and existing AWS services such as HealthLake, Comprehend Medical, and HealthScribe.
- Lead and mentor multiple managers and their teams, including software developers and applied scientists.
- Collaborate with senior leadership and cross-functional teams to define product vision, roadmap, and create impactful solutions.
- Build and grow high-performing teams.
- Drive architectural decisions for large-scale, highly available cloud services.
- Ensure operational excellence and compliance with industry standards.
- Manage multiple concurrent programs and projects in an intrapreneurial environment.
- Foster a culture of innovation, inclusion, and technical excellence.
- Solve complex challenges that healthcare organizations face today through innovative use of cloud and AI technologies.
A day in the life
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.
About the team
- Shape the future of AI for healthcare.
- Work on meaningful problems that improve lives globally.
- Access to industry leading technology and vast resources.
- Collaborate with world-class researchers and engineers.
BASIC QUALIFICATIONS
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Proven ability to lead and mentor interdisciplinary teams.
- Excellent communication skills, and can present technical concepts to technical and non-technical audiences, including C-level executives.
- Experience with cloud computing platforms, ideally AWS.
- Experience with data processing, analytics and/or machine learning systems.
- Passion for applying ground breaking AI to solve complex business challenges at a global scale.
- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
- Goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed.
PREFERRED QUALIFICATIONS
- Masters or PhD in Computer Science or Engineering or equivalent.
- Experience building machine learning based platforms.
- Experience with healthcare industry standards (e.g. HIPAA, FHIR)
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.
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 $198,100/year in our lowest geographic market up to $342,300/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.