Job Location: Remote
- Bachelor’s Degree
- 5+ years of experience, 1+ years of which must be in a product management position
- Experience in shaping business strategy for technical products or services
- Experience translating customer needs into innovative and detailed product requirements
- Experience working with customers, technical teams, and management to collect requirements, describe product features
- Experience working with product marketing and sales/business development to deliver products to market
- Experience shipping a customer- or developer-facing product or service
- Experience working on agile development teams
- Strong communication and presentation skills
Job summary
The AI/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 Rekognition, Amazon Comprehend, and Amazon SageMaker, 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 work across multiple AWS AI/ML Services to think about the builder’s journey, developing offerings and GTM centered on industry-specific use-cases. 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 Technical 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
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
Key job responsibilities
As a Senior Technical Product Manager, you will be responsible for:
Owning the business and technical approach to drive customer adoption of AI/ML on the AWS platform
Leading discussions with cross-functional teams on complex business and technical subjects to educate stakeholders on the value of AWS AI/ML, identify addressable business problems, and develop ML solutions designed to demonstrate the ability of ML to deliver results
Building deep relationships with customers and account teams to enable them to be AWS AI/ML advocates
Acting as a business liaison between customers, services, data scientists and account managers
Authoring or otherwise contributing to AWS customer-facing publications such as narrative papers
Willingness to travel to meet with customers (~30% of time, pending COVID restrictions)
About the team
Machine Learning (ML) has been part of Amazon’s strategy since the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. Carrying forward this focus, the Amazon ML Solutions Lab (MLSL) team helps AWS customers accelerate the use of machine learning and deep learning to achieve business goals, solve operational challenges, and promote innovation in their organization.
- MBA, MS, or PhD degree in computer science, or related technical, math, or scientific field
- Working knowledge of machine learning and statistics
- Experience with statistical modeling / machine learning
The pay range for this position in Colorado is $152,200 – 205,900/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. The base pay range for this position in New York City is $167,400 – 226,500; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. This information is provided per the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site. The base pay range for this position in Jersey City is $167,400 – 226,500; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. This information is provided per the Pay Transparency Regulation of Jersey City Municipal Code. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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