Amazon
Principal Product Mgr - Tech, People Experience and Technology (PXTCS)
Amazon, Seattle, Washington, us, 98127
Description
The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, research, human-centered design and engineering to develop and deliver solutions that measurably achieve this goal.
We are seeking a dynamic and data-driven Product Manager-Technical to lead our efforts in delivering advance portfolio of products focused on predictive modeling, forecasting, and causal inference. This position plays a crucial role in shaping the future of our hiring, and labor planning products by providing Amazon leaders with reliable forecast, predictions, and causal inferences to make informed decisions and labor plans. The ideals candidate will have a strong background in product management and data science, with expertise in predictive analytics, time series forecasting, and causal inference methodologies.
Key job responsibilities
Collaborate with Economists, Applied Scientists, Engineers, and business line customers across the company to define product vision.
Make choices on feature selections, science, engineering, and evaluations while judging various inference techniques.
Collect metrics for model evaluation, performance, adoption, coverage, and quantifying impact.
Discover potential in business domains to utilize emerging technologies like GenAl latest scholarly research, etc.
Write and deliver Vision docs, PRFAQs, BRD, and 3YP documents to gain sponsorship from the leadership team for execution.
Manage stakeholders and engineers to align everyone on the common goals and deliver your product vision.
Drive adoption and through predictive modeling and continuously seeking innovative ways to deliver for customers while rigorously measure the impact of your work and constantly iterating.
A day in the life
Think Big to define and drive the product vision for product development for community facing technology and data solution.
Influence cross-functional teams, including economists, applied scientists, engineer, and designers to develop cutting-edge products in predictive modeling, time series forecasting, causal inference.
Define feature selection and evaluation to improve model accuracy and performance. Use your knowledge in advanced statistical techniques, machine learning models, and causal inference methods to inform product decision and improvements.
Dive deep and partner with engineering and science team members and partner teams to write detailed business and technical requirements.
Own end-to-end product lifecycle
Create quick and strong stakeholder relationships.
Influence priorities and business strategy through quantitative and qualitative contributions
Drive adoptions of the products and measure impact.
Improve products and programs through direct interaction with stake holders and users.
Continuously absorb and share knowledge about the latest product and scientific developments relevant to the ML/AL space.
Mentor and support other team members.
Basic Qualifications
Bachelor's degree
8+ years of technical product or program management experience
Experience owning/driving roadmap strategy and definition
Experience with feature delivery and tradeoffs of a product
Preferred Qualifications
Experience working directly with Engineers on product enhancements
Experience in project management methodologies, business analysis, or process improvement
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 $161,900/year in our lowest geographic market up to $279,900/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.
The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, research, human-centered design and engineering to develop and deliver solutions that measurably achieve this goal.
We are seeking a dynamic and data-driven Product Manager-Technical to lead our efforts in delivering advance portfolio of products focused on predictive modeling, forecasting, and causal inference. This position plays a crucial role in shaping the future of our hiring, and labor planning products by providing Amazon leaders with reliable forecast, predictions, and causal inferences to make informed decisions and labor plans. The ideals candidate will have a strong background in product management and data science, with expertise in predictive analytics, time series forecasting, and causal inference methodologies.
Key job responsibilities
Collaborate with Economists, Applied Scientists, Engineers, and business line customers across the company to define product vision.
Make choices on feature selections, science, engineering, and evaluations while judging various inference techniques.
Collect metrics for model evaluation, performance, adoption, coverage, and quantifying impact.
Discover potential in business domains to utilize emerging technologies like GenAl latest scholarly research, etc.
Write and deliver Vision docs, PRFAQs, BRD, and 3YP documents to gain sponsorship from the leadership team for execution.
Manage stakeholders and engineers to align everyone on the common goals and deliver your product vision.
Drive adoption and through predictive modeling and continuously seeking innovative ways to deliver for customers while rigorously measure the impact of your work and constantly iterating.
A day in the life
Think Big to define and drive the product vision for product development for community facing technology and data solution.
Influence cross-functional teams, including economists, applied scientists, engineer, and designers to develop cutting-edge products in predictive modeling, time series forecasting, causal inference.
Define feature selection and evaluation to improve model accuracy and performance. Use your knowledge in advanced statistical techniques, machine learning models, and causal inference methods to inform product decision and improvements.
Dive deep and partner with engineering and science team members and partner teams to write detailed business and technical requirements.
Own end-to-end product lifecycle
Create quick and strong stakeholder relationships.
Influence priorities and business strategy through quantitative and qualitative contributions
Drive adoptions of the products and measure impact.
Improve products and programs through direct interaction with stake holders and users.
Continuously absorb and share knowledge about the latest product and scientific developments relevant to the ML/AL space.
Mentor and support other team members.
Basic Qualifications
Bachelor's degree
8+ years of technical product or program management experience
Experience owning/driving roadmap strategy and definition
Experience with feature delivery and tradeoffs of a product
Preferred Qualifications
Experience working directly with Engineers on product enhancements
Experience in project management methodologies, business analysis, or process improvement
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 $161,900/year in our lowest geographic market up to $279,900/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.