Software Dev Manager AI/ML, AWS Comprehend

Job summary
Join a team working on building next generation technology to redefine how users will interface with machines and abundance of text documents in our daily lives. We are a team of highly motivated individuals focused on enabling our customers to benefit from the next generation of NLP offerings.

Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. As the Software Development Manager of this team, you will be responsible for leading a team of strong engineers, and continuing to develop them. You will need to constantly challenge the boundaries of natural language understanding. You will draw from deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues. You will manage some of our most strategic technical projects, deliver large scalable systems, design new software systems at the cutting edge of machine learning technology, and have a significant bottom-line impact on our business and competitive position.

This position presents a unique and rare opportunity to be part of a rapidly growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, strong business acumen and judgment, an ability to define a strong vision, ability to hire and lead a team, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.

A successful candidate will bring deep technical and software expertise, strong business acumen and judgment, a capability to build and grow a talented team, desire to have an industry wide impact, and ability to work within a fast moving, startup environment to rapidly deliver services that have a broad business impact. You should have a passion for delivery, drive for excellence, and penchant for quality. You will practice development management practices such as scrum and make sure your team is productive solving technical challenges in system design, distributed computing, and full-stack services.

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.

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. Our senior members enjoy one-on-one mentoring. 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





Key job responsibilities
We'll be looking at you to help:

• Work on the service roadmap with other stake holders.
• Decide what features to build and performance improvements to prioritize.
• Drive software engineering best practices.
• Provide technical leadership for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules.

Basic Qualifications

• 7+ years of experience working directly within engineering teams
• Experience partnering with product OR program management teams
• 3+ years of people management experience, managing engineers
• 3+ years of experience architecting and designing (architecture, design patterns, reliability and scaling) of new and current systems

Preferred Qualifications

• Master's degree or PhD in Computer Science
• Experience with NLP and deep learning systems

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.