At Amazon's Customer Behavior Analytics (CBA), we're seeking a Principal Product Manager-Technical to lead our Marketing Measurement solutions during a period of dramatic expansion. Our mission is to revolutionize Amazon's marketing effectiveness through advanced ML and causal inference solutions that deliver actionable insights across the company's marketing ecosystem.
This strategic role offers the opportunity to:
- Drive decisions that influence multi-billion dollar investments across global marketplaces
- Shape high-level marketing and marketplace strategy through data-driven insights
- Partner directly with key business stakeholders to deliver measurable business impact
- Lead innovation in marketing measurement and optimization
The ideal candidate combines:
- Deep expertise in machine learning and large-scale data analytics
- Strong business acumen and ability to translate complex analysis into actionable strategy
- Excellence in stakeholder management and cross-functional collaboration
- Proven ability to navigate ambiguity while maintaining precision
- Skills to mentor and guide teams through technical and business challenges
You'll be empowered to:
- Pioneer new approaches in marketing measurement using ML/AI
- Define and solve critical business problems through advanced analytics
- Lead strategic initiatives that shape Amazon's marketing future
- Collaborate with a diverse, world-class team of scientists and analysts
- Contribute to the broader product community within CBA
Join us in transforming how Amazon understands and optimizes its marketing investments while working alongside some of the industry's brightest minds in customer behavior analytics.
Key job responsibilities
Business Impact & Stakeholder Management
- Partner with senior marketing and marketplace leaders to inform multi-billion dollar investment decisions
- Translate complex technical concepts into actionable business recommendations
- Build consensus across diverse stakeholder groups on measurement approaches and priorities
- Present findings and recommendations to executive leadership
Strategic Leadership & Vision
- Define and drive the technical vision for marketing measurement solutions across Amazon's global marketplace
- Identify and prioritize high-impact opportunities to improve marketing effectiveness through ML/AI innovations
- Develop multi-year roadmaps aligned with business goals and emerging technologies
- Lead strategic planning and resource allocation across multiple workstreams
- Ensure technical excellence in implementation of measurement methodologies
Team Leadership & Development
- Lead and mentor a team of data scientists, engineers, and analysts
- Foster a culture of innovation, learning, and scientific rigor
- Drive collaboration between technical teams and business stakeholders
- Recruit and develop top talent in data science and analytics
Program Management & Execution
- Oversee implementation of measurement solutions across multiple marketing channels
- Establish metrics and KPIs to track program success
- Ensure delivery of high-quality insights and recommendations on schedule
- Manage dependencies across engineering, data science, and business teams
Technical Excellence & Governance
- Define technical standards and methodologies for marketing measurement
- Ensure compliance with data privacy and governance requirements
- Drive continuous improvement in measurement accuracy and efficiency
- Stay current with advances in ML/AI, measurement technologies and model explainability
About the team
The Customer Behavior Analytics (CBA) organization owns Amazon's insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams' decisions and thus how Amazon customers see, use, and value their experience.
BASIC QUALIFICATIONS - Bachelor's degree
- 10+ years of non-internship professional data science and simulation experience in a system engineering domain.
- Masters degree in relevant discipline, engineering or science.
- Hands on experience articulating model trade-offs and results analysis to business partners.
- Hands on experience with R, Python, Jupyter and other data science and simulation tools, languages and technology.
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS - Ph.D. in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a closely related field.
- Proven track record of delivering as part of cross-disciplinary teams.
- Strong communication and presentation skills.
- Comfortable working in a fast paced, highly collaborative, dynamic work environment.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
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 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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