Amazon
Principal Product Manager - Tech (PMT), PXT Central Science
Amazon, Seattle, Washington, us, 98127
Principal Product Manager - Tech (PMT), PXT Central Science
Job ID: 2738134 | Amazon.com Services LLC - A57We are seeking several Principal PMTs to develop and launch science-driven products and programs that improve employee experience for over 1.5 million Amazonians worldwide. The products our team is developing improve all aspects of work for employees and managers including benefits, compensation, recruiting, voice of employee, management, and culture. We are developing tools to accelerate use of data and science in business decisions, and to support robust and reliable scientific insights to guide business decisions.You will work closely with business partners and an interdisciplinary team of UX and science experts in economics, applied science, and engineering, to create and deliver positive impact for Amazon employees at scale. This is a unique opportunity to shape the future of employee experience at Amazon through cutting-edge technology and data-driven insights. If you are a visionary product leader passionate about creating innovative solutions that drive positive change, we would love to hear from you.Specific products include:Reimagining company-wide employee feedback tools with generative AI and statistical models to provide actionable insights.Building predictive models to help leaders understand the impact of policies on employee sentiment and attrition.Creating productionized AI/ML solutions that enable leaders to design and scale programs that improve experience.Technical products that support our communities by helping make important government data resources easy-to-access and use for public policy leaders and their constituents.Key job responsibilities
Define and drive a multi-year product strategy and roadmap for employee listening, focusing on leveraging emerging AI technologies.Engage directly with Amazon's most senior leaders to understand their workforce needs and translate them into innovative AI-powered product capabilities.Own the full product lifecycle, delivering long-lasting, high-impact solutions that empower leaders with science-backed data.Collaborate closely with science and engineering teams to develop and integrate state-of-the-art employee listening tools and models.Deliver comprehensive product documentation to ensure responsible development of GenAI.Influence priorities across Amazon by demonstrating the potential of applying advanced AI and quantitative analysis to improve employee experience.Mentor and develop other product managers, fostering a culture of innovation and customer obsession.Define clear goals, objectives, and success metrics in the planning and execution space.About the team
The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements, and products that improve Amazon and the lives of Amazonians.BASIC QUALIFICATIONS
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.7+ years of technical product or program management experience.Experience owning/driving roadmap strategy and definition.Experience with feature delivery and tradeoffs of a product.Experience working with and influencing senior level stakeholders.Ability to understand and communicate complex quantitative and ML/AI concepts.Experience with Agile development processes for machine learning systems.Experience successfully delivering complex technical products.PREFERRED QUALIFICATIONS
MBA or Master’s degree in Computer Science, Data Science, Engineering, Business, Economics, Mathematics, Statistics or related field.Background in econometrics, causal modeling, or other quantitative social sciences.Experience developing products using ML, AI, or advanced statistical techniques.Knowledge of data science and experimental design methodologies.Proven track record shipping data-driven products on tight timelines.Experience working directly with Engineers on product enhancements.Experience in project management methodologies, business analysis, or process improvement.Sharp analytical abilities and comfortable with SQL, Python and R.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.
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Job ID: 2738134 | Amazon.com Services LLC - A57We are seeking several Principal PMTs to develop and launch science-driven products and programs that improve employee experience for over 1.5 million Amazonians worldwide. The products our team is developing improve all aspects of work for employees and managers including benefits, compensation, recruiting, voice of employee, management, and culture. We are developing tools to accelerate use of data and science in business decisions, and to support robust and reliable scientific insights to guide business decisions.You will work closely with business partners and an interdisciplinary team of UX and science experts in economics, applied science, and engineering, to create and deliver positive impact for Amazon employees at scale. This is a unique opportunity to shape the future of employee experience at Amazon through cutting-edge technology and data-driven insights. If you are a visionary product leader passionate about creating innovative solutions that drive positive change, we would love to hear from you.Specific products include:Reimagining company-wide employee feedback tools with generative AI and statistical models to provide actionable insights.Building predictive models to help leaders understand the impact of policies on employee sentiment and attrition.Creating productionized AI/ML solutions that enable leaders to design and scale programs that improve experience.Technical products that support our communities by helping make important government data resources easy-to-access and use for public policy leaders and their constituents.Key job responsibilities
Define and drive a multi-year product strategy and roadmap for employee listening, focusing on leveraging emerging AI technologies.Engage directly with Amazon's most senior leaders to understand their workforce needs and translate them into innovative AI-powered product capabilities.Own the full product lifecycle, delivering long-lasting, high-impact solutions that empower leaders with science-backed data.Collaborate closely with science and engineering teams to develop and integrate state-of-the-art employee listening tools and models.Deliver comprehensive product documentation to ensure responsible development of GenAI.Influence priorities across Amazon by demonstrating the potential of applying advanced AI and quantitative analysis to improve employee experience.Mentor and develop other product managers, fostering a culture of innovation and customer obsession.Define clear goals, objectives, and success metrics in the planning and execution space.About the team
The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements, and products that improve Amazon and the lives of Amazonians.BASIC QUALIFICATIONS
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.7+ years of technical product or program management experience.Experience owning/driving roadmap strategy and definition.Experience with feature delivery and tradeoffs of a product.Experience working with and influencing senior level stakeholders.Ability to understand and communicate complex quantitative and ML/AI concepts.Experience with Agile development processes for machine learning systems.Experience successfully delivering complex technical products.PREFERRED QUALIFICATIONS
MBA or Master’s degree in Computer Science, Data Science, Engineering, Business, Economics, Mathematics, Statistics or related field.Background in econometrics, causal modeling, or other quantitative social sciences.Experience developing products using ML, AI, or advanced statistical techniques.Knowledge of data science and experimental design methodologies.Proven track record shipping data-driven products on tight timelines.Experience working directly with Engineers on product enhancements.Experience in project management methodologies, business analysis, or process improvement.Sharp analytical abilities and comfortable with SQL, Python and R.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.
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