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Amazon Web Services Senior Product Manager, Amazon SageMaker in Seattle, Washington

Description

Job summary

The Machine Learning (ML) Services team within AWS is responsible for setting the strategy and delivering machine learning services across multiple segments and requirements to AWS customers. Today, the team is responsible for multiple customer-facing products such as Amazon SageMaker, Neo, Elastic Inference, Deep Learning AMIs; as well as the core primitives that form the foundation of the entire AWS AI stack, such as ML Frameworks Tensorflow, PyTorch, MXNet, and DL Containers.

In this role, you will be at the center of the ML transformation, joining our team in its Day 1 mission to make machine learning accessible to all software developers and data scientists. You'll use your passion for technology and solving customer problems to develop and drive product plans to develop an exciting offering for customers. As a Senior Product Manager, 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 management to develop business targets and resource requirements, influences our long-term technical and business strategy, 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 ML.

A successful candidate will bring a passion for technology services, strong business acumen and judgment, desire to have an industry wide impact and ability to work within a fast moving environment in a large company to rapidly deliver value that will have a broad business impact. You will be responsible for understanding customer needs, manage crucial internal stakeholder relationships, provide critical inputs to 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 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.

Influence senior leaders across Amazon and communicate Amazon ML Services vision, strategy, goals, status, and customer impact

The Machine Learning (ML) Services team within AWS is responsible for setting the strategy and delivering machine learning services across multiple segments and requirements to AWS customers. Today, the team is responsible for multiple customer-facing products such as Amazon SageMaker, Neo, Elastic Inference, Deep Learning AMIs; as well as the core primitives that form the foundation of the entire AWS AI stack, such as ML Frameworks Tensorflow, PyTorch, MXNet, and DL Containers.

In this role, you will be at the center of the ML transformation, joining our team in its Day 1 mission to make machine learning accessible to all software developers and data scientists. You'll use your passion for technology and solving customer problems to develop and drive product plans to develop an exciting offering for customers. As a Senior Product Manager, 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 management to develop business targets and resource requirements, influences our long-term technical and business strategy, 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 ML.

A successful candidate will bring a passion for technology services, strong business acumen and judgment, desire to have an industry wide impact and ability to work within a fast moving environment in a large company to rapidly deliver value that will have a broad business impact. You will be responsible for understanding customer needs, manage crucial internal stakeholder relationships, provide critical inputs to 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 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.

Influence senior leaders across Amazon and communicate Amazon ML Services vision, strategy, goals, status, and customer impact

BASIC QUALIFICATIONS

Must have shipped a customer- or developer-facing product or service

· 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

· Passion for technology and Machine Learning

PREFERRED QUALIFICATIONS

  • MBA or Master’s degree.

  • 10+ years overall high tech industry experience, with 5+ years of AI/ML industry experience

  • Experience working with product marketing and sales/business development to deliver products to market

  • Experience managing products including both hardware and software components through multiple product lifecycles.

  • Demonstrated ability to understand and discuss technical concepts, manage tradeoffs and evaluate opportunistic new ideas with internal and external partners.

  • Ability to think strategically and execute methodically.

  • Ability to thrive in a fast-paced environment where continuous innovation is desired.

  • History of teamwork and willingness to roll up one’s sleeves to get the job done.

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, please visit https://www.amazon.jobs/en/disability/us.

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