DESCRIPTION

The AI team within AWS is responsible for setting the AI strategy and delivering machine learning services across multiple segments and requirement to AWS customers. Today, the team provides ML framework and infrastructure like Apache Mxnet and Pytorch for AWS, Inferentia etc. ; ML platform services like Sagemaker and Groud truth etc. and AI services like CodeGuru, SageMaker, Comprehend, Rekognition, Lex, Polly Transcribe, and many more.

As a Product Manager, you will drive the business planning for the service - developing business targets and resource requirements, influence our long-term technical and business strategy. You will be seen as the subject matter expert for this area within Amazon AI and will represent it in multiple conference like re:Invent , re:Mars etc.

A successful candidate will bring a passion for technology services, strong business acumen and judgment, ability to define visionary, ground breaking products, desire to have an industry wide impact and ability to work within a fast moving environment in a large company to rapidly deliver services that have a broad business impact.

You will manage and be responsible for understanding customer needs and delivering some of our most strategic technical projects, and have a significant bottom-line impact on our business and competitive position.

Your responsibilities will include:

Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction.

Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation.

Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning.

Lead Product Launch - Own the go-to-market plan to deliver results that ensure the customer and business goals are met in operational launch plans.

Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth

Lead interaction with Technical Team - Including helping the technical team make trade-offs based on customer requirements, QA/testing of the product.

Influence senior leaders across Amazon and communicate Amazon AI's vision, strategy, goals, status, and customer impact

The AWS AI team has a really unique opportunity where the right person can help shape the future by helping us build a new AI/ML based service.

You must be a self-starter that is good at handling lots of ambiguity, be excited about the future of AI/ML, and am comfortable with 1:1 deep dives as well as high level conference presentations in front of decision makers. So if you are a great PM who is motivated by working with scientists, developers, building strategies, and delivering results then lets have a casual chat and see if we are a good match.

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

• Bachelor's degree in Computer Science, Electrical Engineering, Information Systems or related field, or equivalent experience
• 5+ years of project/program management or equivalent experience.
• Passion for technology and Machine Learning
• Strong track record of shaping business strategy for technical products or services
• Superior written and verbal communications skills
• Superior analytical and quantitative skills; experience in data collection, model building, testing and validation.
• Experience translating customer needs into innovative and detailed product requirements for customer-facing online and mobile products/services
• Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs
• Exceptional attention to detail, organizational, and project management skills
• Must have shipped a customer- or developer-facing product or service

PREFERRED QUALIFICATIONS

• MBA
• MS in computer science, or related technical, math, or scientific field
• Experience with static code analysis tools, code repositories, software development lifecycle, and DevOps workflows
• Working knowledge of deep learning, machine learning and statistics
• Experience in using Python, R, Julia, or Matlab or other statistical/machine learning software
• Strong communication and presentation skills
• Experience with statistical modeling / machine learning

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.