Interested in building Machine Learning (ML) and Artificial Intelligence (AI) solutions for mapping and geospatial applications? Our team's mission is to make machine learning easy, stronger, and universal across data driven products and businesses. We live in a time wherein mapping, location, and geospatial data has become ubiquitous. Cloud computing has made it easy to gather and process location and geospatial data generated by satellites, mobile devices, and also IoT devices. Our vision is to bring the best ML/AI algorithms to mapping and geospatial data and problems. Building high quality mapping applications requires a unique combination of humans and ML/AI algorithms. We specialize in developing managed ML/AI services such as Amazon SageMaker and also Human-in-loop (HIL) ML/AI services such as SageMaker Ground Truth, Amazon Augmented AI for model inference, and Amazon Mechanical Turk for crowd intelligence. Our strategy is to bring the best of ML based automation to machine learning engineers and data scientists build mapping, geospatial, and location aware applications.
We are looking for a Sr. Product Manager that has experience managing large-scale global products, has a track record for developing a vision, defining a strategy, and delivering features from the ground up. As a Sr. 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 executives to develop business targets and resource requirements, influences our long-term technical and business strategy, helps us hire talented team of PMs 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 AI/ML org. A successful candidate will bring a passion for technology services, strong business acumen and judgment, ability to define products, and ability to work within a fast-moving environment in a large company to rapidly deliver services that have a broad business impact.
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 roadmap, investment, innovation and experimentation.
Engage Customers Build and manage the customer pipeline. Proactively identify and address customer pain points to increase adoption. Learn from customers to define the product vision and roadmap.
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.
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
- Bachelor's Degree or higher
- 5+ years of experience in product or program management, product marketing, business development or technology
- Experience with end-to-end product delivery
- Experience with feature delivery and tradeoffs of a product
- Experience overseeing roadmap strategy and definition
- Superior written and verbal communications skills, with the ability to influence and collaborate across multiple senior leadership teams
- Experience leading cross-functional teams to deliver products and projects on tight deadlines and proven ability to manage multiple, competing priorities simultaneously
- Passion for technology and Machine Learning
- Exceptional attention to detail, organizational, and project management skills
- Experience in geospatial applications
- MBA or advanced degree
- Background related to Machine Learning
Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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