Job summary

We are seeking an experienced and capable engineering leader to lead the Textract engineering team. Amazon Textract (https://aws.amazon.com/textract) is an AWS service that provides deep learning based OCR and document analysis. This team owns the full service stack and solves challenging problems around scaling, efficiency, and reliability to make sure our customers are able to perform OCR and document analysis on cloud. We are constantly adding new capabilities to the service. The goal is to be the bleeding edge of a highly scalable technology that can analyze corpus of documents and provide rich analytics.

As the leader of the team, you will start out leading a deep learning powered document analysis engine that is going to be the trendsetter in the Computer Vision and ML field. You will own the design, development, testing, and deployment of this AI service. You will manage and be responsible for delivering some of our most strategic technical projects, deliver large scale systems, design new software systems at the cutting edge of distributed systems/machine learning and have a significant bottom-line impact on our business and competitive position.

This position within the Amazon AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, the product, and the business. A successful candidate will bring deep technical and software expertise, strong business acumen and judgment, an ability to define visionary, ground breaking products, ability to hire and lead a high-performing 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.

About Us
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 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.

BASIC QUALIFICATIONS

• 7+ years of relevant engineering experience
• 3+ years of people management experience, managing engineers
• Experience in partnering with product and program management teams

• Bachelor's Degree in Computer Science or a related field, or equivalent experience
• 10+ years of software development industry experience
• 3+ years of technical management experience as leader of leaders.

PREFERRED QUALIFICATIONS

• Master's Degree or PhD in Computer Science with specialization in machine learning / computer vision
• 10+ years of relevant software development and engineering management experience
• Excellent verbal and written communication skills
• Experience building scalable infrastructure software for commercial online services
• Experience in defining processes and establishing mechanisms that improves the efficiency of software development for customers and developers
• Programming in Python, Java, C and/or C++ in a Linux environment
• Experience with working on AWS services (S3, DynamoDB, EC2, ECS, Fargate, Lambda)

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, visit US Disability Accommodations.