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Description

Do you want a role with deep meaning and the ability to have a global impact? Hiring top talent is not only critical to Amazon’s success – it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent Amazon’s hiring process with unprecedented scale, sophistication, and accuracy.

ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals, and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, driving a merit-based hiring approach that gives candidates the opportunity to showcase their true skills. Each year we also help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location, at exactly the right time. You’ll work on state-of-the-art research with advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Join ITA in transforming Amazon's hiring landscape and making a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.

Within ITA, the Global Hiring Science (GHS) team designs and implements innovative hiring solutions at scale. We work in a fast-paced, global environment where we use research to solve complex problems and build scalable hiring products that deliver measurable impact to our customers. We are seeking a senior research manager with a strong foundation in psychometrics, statistics, and developing metrics to evaluate programs and processes.

We are looking for equal parts researcher and consultant, who is able to influence customers with insights derived from science and data. You will work closely with cross-functional teams to design new hiring solutions and experiment with measurement methods intended to precisely define exactly what job success looks like and how best to predict it. Preferred candidates have a strong track record of developing research programs with demonstrated business impact.

Key job responsibilities

What you’ll do as a GHS Science Manager:

• Partner with key stakeholders to create innovative solutions that blend scientific rigor with real-world business impact while navigating complex legal and professional standards

• Build voice of customer (candidates, hiring managers) feedback ecosystems that capture actionable insights

• Translate complex research findings into compelling, actionable strategies that influence senior leader/business decisions and shape Amazon's talent acquisition roadmap

• Lead a cross-functional science team focused on improving the quality of our hiring globally

• Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities

Basic Qualifications

- PhD, or Master's degree and 10+ years of quantitative field research experience

- 10+ years of experience in applied quantitative research, survey development, and experimental and quasi-experimental research design

- 5+ years managing cross-functional science teams

Preferred Qualifications

- PhD in Industrial/Organizational Psychology, Social Psychology, Survey Methodology, or related field

- Familiarity with using GenAI tools and Large Language Models (LLMs) in candidate and employee research

- Excellent written and oral communication skills

- Experience conducting experimental research in a global, industry environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $187,500/year in our lowest geographic market up to $324,100/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.