Job Information
Amazon Sr Product Manager- Tech, Enterprise Engineering - AI in Austin, Texas
Description
Enterprise Engineering is seeking a Sr. Product Manager to drive the development of cutting-edge AI-powered productivity solutions. Our mission is to create intelligent and intuitive AI assistants that revolutionize how people work, enabling them to be more efficient, productive, and focused on high-impact tasks.
As a Sr.Product Manager, you will play a pivotal role in shaping the product strategy and roadmap for our Productivity AI offerings. You will work closely with cross-functional teams, including machine learning researchers, software engineers, designers, and business stakeholders, to conceptualize, design, and deliver innovative AI-driven products that enhance productivity across various divisions and user personas.
Key job responsibilities
Develop a deep understanding of the productivity AI landscape, user needs, and market trends, and translate these insights into compelling product visions and strategies.
Drive the ideation, prioritization, and execution of AI-powered productivity features and products, balancing user experience, technical feasibility, and business impact.
Collaborate with Data scientists, machine learning teams to identify and prioritize AI capabilities that can be leveraged to solve real-world productivity challenges.
Define and communicate product requirements, working closely with engineering teams to ensure successful implementation and delivery.
Conduct user research, data analysis, and experimentation to validate product hypotheses, measure success, and continuously improve the user experience.
Foster cross-functional alignment and prioritization across multiple stakeholders, including product, engineering, design, and business teams.
Stay abreast of emerging AI technologies, industry trends, and competitive landscapes, and identify opportunities for product innovation and differentiation.
A day in the life
Analyze user feedback and usage data to identify opportunities for improving the AI productivity capabilities.
Collaborate with machine learning researchers to explore new AI models and techniques for enhancing task automation and workflow optimization.
Conduct competitive analysis and market research to stay informed about emerging trends and technologies in the Gen AI productivity space.
Facilitate ideation sessions with cross-functional teams to generate ideas for innovative productivity features leveraging Gen AI.
Prioritize and define requirements for upcoming product releases, balancing user needs, technical feasibility, and business impact.
Review and provide feedback on wireframes and prototypes developed by the design team for new productivity AI features.
Participate in sprint planning meetings with engineering teams to align on deliverables and timelines for upcoming sprints.
Conduct user research
Prepare product strategy presentations and deliver updates to executive stakeholders on the progress of productivity AI initiatives.
About the team
Enterprise Engineering org owns the vision of making Amazonian Productivity to be the best in the world. AI/ML team is part of enterprise engineering who drives the vision on Gen AI for Productivity. We dream audaciously, obsess over user experiences, take data driven decisions, and execute faster. If you love learning, taking on big challenges, believe you can change the end user productivity to be the best in the world. Join us
Basic Qualifications
Bachelor's degree
Experience owning/driving roadmap strategy and definition
Experience with feature delivery and tradeoffs of a product
Experience contributing to engineering discussions around technology decisions and strategy related to a product
Experience managing technical products or online services
Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred Qualifications
Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
Experience in building and driving adoption of new tools
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.