Principal Technical Program Manager TPM PXT Central Science
Principal Technical Program Manager TPM PXT Central Science
Posted on :
14-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 159300 - 275300
Vacancy
1 Vacancy
Posted on :
14-04-2025
Job Description
We are seeking multiple Principal Technical Program Manager to own and drive large critical programs that span multiple teams and organizations at Amazon. You will manage complex technical programs involving machine learning models artificial intelligence systems and causal econometric models that improve employee experience for over 1.5 million Amazonians worldwide.
The scientific program areas our team leads apply cuttingedge technology and datadriven insights to enhance all aspects of work for employees and managers including benefits compensation recruiting voice of employee management practices and organizational culture. You will coordinate crossfunctional engineering product data science and business teams to successfully deliver these programs. This involves developing detailed plans schedules milestones and risk mitigation strategies.
You will identify dependencies and enable seamless collaboration between technical teams building the AI/ML models product managers defining requirements data scientists providing insights and business stakeholders across Amazons employee services. Continuously monitoring progress highlighting roadblocks early and developing contingency plans will be critical. You will lead communication across various levels including providing executive visibility into these highimpact programs.
You will work closely with senior business partners and our interdisciplinary team of UX researchers data scientists economists and engineers to create positive employee experiences through innovative technology at Amazons scale. Mentoring and developing more junior TPMs is also expected.
This is a unique opportunity to shape the future of employee experience at Amazon through cuttingedge AI/ML technology and datadriven insights. Ideal candidates will have experience with research data/research models building ML tools and working with large/unstructured data sets. If you are passionate about driving crossfunctional crossteam innovation with largescale impact we would love to hear from you.
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 which simultaneously improve Amazon and the lives wellbeing and the value of work of Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models AI/ML technologies and software solutions to accelerate informed accurate and reliable decision backed by science and data.
7 years of technical product or program management experience
7 years of working directly with engineering teams experience
Experience managing technical programs across crossfunctional teams building processes and coordinating release schedules
Bachelors degree in Computer Science Engineering Mathematics Statistics Economics or related technical field
Proven ability to influence without authority and drive results through leadership and collaboration
Experience leading Agile development processes for AI machine learning or quantitative modeling initiatives
Demonstrated ability to align crossfunctional stakeholders and provide executive program visibility
Masters degree in Computer Science Data Science Applied Mathematics Economics or related quantitative field
Experience managing programs that apply machine learning AI or econometric modeling techniques
Ability to understand and communicate complex technical concepts to nontechnical stakeholders
Knowledge of data science quantitative research methods and experimental design
Track record driving innovation and operational excellence in a technical program management role
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 for more information. If the country/region youre applying in isnt 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 $159300/year in our lowest geographic market up to $275300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
The scientific program areas our team leads apply cuttingedge technology and datadriven insights to enhance all aspects of work for employees and managers including benefits compensation recruiting voice of employee management practices and organizational culture. You will coordinate crossfunctional engineering product data science and business teams to successfully deliver these programs. This involves developing detailed plans schedules milestones and risk mitigation strategies.
You will identify dependencies and enable seamless collaboration between technical teams building the AI/ML models product managers defining requirements data scientists providing insights and business stakeholders across Amazons employee services. Continuously monitoring progress highlighting roadblocks early and developing contingency plans will be critical. You will lead communication across various levels including providing executive visibility into these highimpact programs.
You will work closely with senior business partners and our interdisciplinary team of UX researchers data scientists economists and engineers to create positive employee experiences through innovative technology at Amazons scale. Mentoring and developing more junior TPMs is also expected.
This is a unique opportunity to shape the future of employee experience at Amazon through cuttingedge AI/ML technology and datadriven insights. Ideal candidates will have experience with research data/research models building ML tools and working with large/unstructured data sets. If you are passionate about driving crossfunctional crossteam innovation with largescale impact we would love to hear from you.
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 which simultaneously improve Amazon and the lives wellbeing and the value of work of Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models AI/ML technologies and software solutions to accelerate informed accurate and reliable decision backed by science and data.
7 years of technical product or program management experience
7 years of working directly with engineering teams experience
Experience managing technical programs across crossfunctional teams building processes and coordinating release schedules
Bachelors degree in Computer Science Engineering Mathematics Statistics Economics or related technical field
Proven ability to influence without authority and drive results through leadership and collaboration
Experience leading Agile development processes for AI machine learning or quantitative modeling initiatives
Demonstrated ability to align crossfunctional stakeholders and provide executive program visibility
Masters degree in Computer Science Data Science Applied Mathematics Economics or related quantitative field
Experience managing programs that apply machine learning AI or econometric modeling techniques
Ability to understand and communicate complex technical concepts to nontechnical stakeholders
Knowledge of data science quantitative research methods and experimental design
Track record driving innovation and operational excellence in a technical program management role
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 for more information. If the country/region youre applying in isnt 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 $159300/year in our lowest geographic market up to $275300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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