The Health AI team is looking for a Technical Program Manager (TPM) to join an ambitious new undertaking, inspired by the success of its Amazon Comprehend Medical service. You will be involved in the entire product development cycle including customer calls, planning, design, prototyping, launching, and managing operations. Launch a V1 product that makes it easy for Healthcare customers to use Machine Learning to get better outcomes. Work with a diverse team brought together and motivated by work that improves people's lives, while being challenged on a daily basis.
Our ideal candidate thrives in ambiguity, builds collaborative relationships, moves fast, and is passionate about meaningful work. They remove bottlenecks for the team and partner with other AWS Teams, Security, Science, Annotations, Product Management, UX, Technical Writing,Vendors and Customers. They lead by example and the team naturally gravitate towards them because of their bias for action and decision-making ability. They can communicate effectively with a wide variety of audiences and are comfortable pitching new ideas.
About Comprehend Medical -
Amazon Comprehend Medical enables our healthcare customers to easily extract value out of unstructured medical text, such as doctor's notes or patient test results. We use machine learning to process this text and detect relevant entities and relationships between them, such as medications or medical conditions. Amazon Comprehend Medical can dramatically reduce cost and time spent for use cases such as clinical trial recruitment or building clinical decision support and population health platforms. If you have experience and are interested in healthcare or machine learning, come and talk to us! We are just getting started.
To learn more about what we've delivered and how customers are using Amazon Comprehend Medical, please refer to our launch blog here:
Inclusive Team Culture
Here at AWS, 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.
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.BASIC QUALIFICATIONS
• Bachelor's Degree in Computer Science or related field
• 5+ years professional experience in software development
• Computer Science fundamentals experience in object-oriented design, data structures, and algorithms
• Programming experience in, at least, one modern programming language such as C, C++, Java
• 4+ years of project/program management
• PREFERRED QUALIFICATIONS
• Experience building complex software systems that have been successfully delivered to customers
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ability to take a project from scoping requirements through actual launch of the project
• Previous knowledge of Medical domain or AI/ML is preferred.
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Software and Programming