Amazon

Senior Pmt - Aws Machine Learning Services

3+ months agoUnited States

DESCRIPTION

The Machine Learning (ML) Services team within AWS is responsible for setting the strategy and delivering machine learning services to AWS customers in multiple industries. Today, the team is responsible for multiple customer-facing products including Amazon SageMaker and customers on EC2/EKS.

If you are passionate about advances in machine learning and Kubernetes and have a proven track record of translating innovative research to customer-facing products, we would like to talk to you.
In this role, you will be at the center of the ML transformation, joining our team in its 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. You will play a critical role in business planning, working closely with senior management to develop business targets and resource requirements. You will influence our long-term technical and business strategy and 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

Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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

• 2+ years experience with Kubernetes
• 2+ years experience with MLOps (e.g. MLflow, Kubeflow, Airflow, etc.)
• 2+ years experience as a data scientist or user of a machine learning platform
• MBA, PhD or JD degree with a technical or scientific focus
• Knowledge of professional software engineering practices & best practices for the full software development life cycle and operations
• Working knowledge of deep learning, machine learning and statistics

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 https://www.amazon.jobs/en/disability/us

The pay range for this position in Colorado is $123,300 - 160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Job ID: Amazon-1461727