Principal Product Manager, Low Code/No Code Machine Learning

Job summary
Are you passionate about enabling business users and analysts to leverage Machine Learning? Do you enjoy deconstructing problems and simplifying experience for your users? Are you excited about having an industry wide impact by shaping the roadmap of no code Machine Learning? Yes? Then we have a role you might find interesting!

The SageMaker services team within AWS is responsible for setting the strategy and delivering machine learning services to AWS customers. The SageMaker low and no code ML team builds acceleration services that helps enable different personas with varying skillsets leverage Machine Learning, including Amazon SageMaker Canvas.

This team is seeking a Principal Product Manager who will play a critical role in influencing the long-term technical and business strategy. You will own the product roadmap and work with UX, science and engineering to develop and launch features that our customers love. You will work closely with business development, marketing, finance and senior management to drive and execute the overall strategy.

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.






Key job responsibilities
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, ownership of product positioning.

Lead Product Launch – Work with GTM stakeholders 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

About the team
About the team
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 16 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.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications

· Bachelor’s degree in computer science, mathematics, systems engineering, MIS, or a related field
· 10+ years of experience in product management, consulting or related experience
· Ability to cut through ambiguity and drive simplification
· Excellent written and oral communication skills and adept at handling technical and business discussions

Preferred Qualifications

· MBA or Master’s degree.
· Experience defining customer requirements in big data, data analytics or related technologies
· 15+ years overall high tech industry experience, with 10+ years of product management experience
· Experience working with no code, visual, UI driven products for business users
· Experience working with product marketing, sales/business development, finance to deliver products to market
· Experience managing early stage product lifecycle
· 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.