Principal Product Manager - AWS Machine Learning Marketplace

Seattle, Washington, USA

Full Time
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Posted 1 week ago

Passionate about helping customers simplify and accelerate their machine learning workloads on AWS and Sagemaker? Come join the AWS Machine Learning Marketplace team and help us build the future of ML.

You'll work alongside engineers and leaders in both AWS Marketplace and Sagemaker. You will have deep understanding and experience building Machine Learning models and how to apply them in practice. You will invent new ways for sellers to package IP and enable buyers with the right capabilities to evaluate, experiment, re-train and integrate machine learning into their systems.

As a Principal Product Manager you'll be responsible for defining the product strategy, working with stakeholders to create consensus on product vision, define the product roadmap to meet customers needs and innovate on their behalf, define the detailed customer experience for new features, and be responsible for growing this new business.


You will own the definition, execution, and delivery of new features and services. Your responsibilities will include engaging with existing buyers, sellers, channel partners, and internal AWS service teams. You will have to identify requirements, defining product features, and work closely with development teams to deliver those features, including defining our pricing and go-to-market strategies. Successful applicants will have experience defining products, leading cross-functional teams, and communicating to a large number of stakeholders.

Successful candidates will possess proven product and project management skills, and will demonstrate experience managing large products and projects. You are expected to be versatile and able to thrive in a dynamic, entrepreneurial environment. You are not hindered by managing priorities and are able to bring order to ambiguous scenarios. Maturity, high judgment, negotiation skills, ability to influence are essential to success in this role. You will be data-driven. You can clearly & effectively communicate (written as well as verbally) across the org and up to senior teams.

On this team, you’ll get to wear many hats, work fast and smart, and iterate quickly. We are looking for someone who is ready to take ownership of a growing business opportunity and join a tightly-knit team tackling a very interesting and challenging opportunity.

Mentorship and Career Growth
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our PMs truly enjoy mentoring and on-boarding new team members through one-on-one mentoring and thorough, but kind, doc reviews.We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded PM and enable them to take on more complex features and services in the future.

Work/Life Balance
Our team is focused on balancing life with work, and does this via work autonomy and by prioritizing solutions and processes that enable us to scale faster than the business. Our team is mostly located in both NYC and Seattle offices, but we’re flexible when people need to work from home.

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.


Come join us to Work Hard, Have Fun, and Make History!


Basic Qualifications



· 10+ years of experience in product management building web services and multi-tier systems

· Experience using problem solving and analytical skills to solve business problems

· Demonstrated ability to engage and influence senior executives
· Experience overseeing roadmap strategy and prioritizatino

Preferred Qualifications

· MBA or advanced degree
· Strong ability to use data and metrics to back up assumptions, recommendations and drive actions
· Excellent written and verbal communication skills, with the ability to influence and collaborate across multiple senior teams
· Experience managing cross-functional teams to deliver products and projects on tight deadlines and proven ability to manage multiple, priorities simultaneously
· Background related to machine learning or data science
· Experience talking with developers in their own language to come to the best solution from the beginning (hobby or professional coding experience in any language)
· Verbal and written communications skills, as well as the ability to work effectively across internal and external organization

Job tags: AWS Machine Learning ML SageMaker
Job region(s): North America
Job stats:  3  0  0
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