Job Details

Senior Product Manager - AWS AI

Seattle, Washington, United States

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 delivers multiple services such as Lex, Comprehend, Translate and Transcribe as well as ML Engines and Platform as a Service. AI is playing an important role in improving customer experience in contact centers. As a Senior Product Manager, you will drive the platform strategy in the Contact Center domain working closely with product, engineering, and solution architecture teams. You will articulate enterprise needs to conceive and deliver disruptive AI solutions that innovate end user experience in the Contact Center. 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.

You will be part of the larger product leadership community at AWS. This community plays a critical role in the broad business planning, working closely with senior executives to develop business targets and resource requirements, influences our long-term technical and business strategy, helps us hire talented team of PMs and ultimately enables us to deliver innovative new solutions rapidly. You will be seen as the subject matter expert for your area of focus within Amazon AI.

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.
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 GTM 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 tradeoffs based on customer requirements, QA/testing of the product.

Lead and mentor technical product managers

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

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation


10+ years of experience, 1+ years of which must be in Product management position
Passion for technology and Machine Learning
Strong track record of shaping business strategy for technical products or services
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
Experience working on agile development teams
Strong communication and presentation skills


MS or PhD degree in computer science, or related technical, math, or scientific field
Experience in Contact Center Systems such as Contact Routing and CTI, Interactive Voice Response (IVR), Call Recording, Workforce Management and multi-channel contact management of voice, email, chat, SMS messaging, etc.
Knowledge contact center metrics & key performance indicators.
Experience with Live Chat, Virtual Assistant, omni-channel solutions
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
Working knowledge of deep learning, machine learning and statistics.
Experience in using Python, R, Julia, or Matlab or other statistical/machine learning software
Experience with statistical modeling/machine learning

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation/Age

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