Description

Enterprise Engineering is seeking an Principal 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 Principal 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 and usability testing to validate product hypotheses and gather insights for improving the AI assistant's productivity experience.

• Prepare product strategy presentations and deliver updates to executive stakeholders on the roadmap and progress of productivity AI initiatives.

• Collaborate with marketing and sales teams to develop go-to-market strategies and positioning for new productivity AI offerings.

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

• 8+ years of product or program management, product marketing, business development or technology experience

• 8+ years of end to end product delivery experience

• Experience technical product management

Preferred Qualifications

• 10+ years of end to end product delivery experience

• Experience in project management methodologies, business analysis, or process improvement

• Comfort working in a fast-paced environment where continuous innovation is required and ambiguity is constant

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.