The Measurement, Ad Tech, and Data Science (MADS) organization at Amazon Ads is looking for a Software Development Manager to lead an engineering team building the large-scale attribution systems that help advertisers understand how their advertising investments drive meaningful customer and business outcomes.
Attribution is at the heart of advertising measurement. It connects ad interactions with downstream outcomes - such as purchases, subscriptions, and other conversions - to help advertisers understand campaign performance, optimize their advertising spend, and make better investment decisions. The measurements produced by our systems are consumed across Amazon Ads products and increasingly serve as foundational signals for optimization systems, machine learning models, analytics applications, and AI-powered advertising experiences.
Building accurate attribution at Amazon scale is a uniquely challenging engineering and scientific problem. Our systems process more than 50 billion events per day and must connect signals across complex customer journeys, advertising products, devices, and channels while navigating incomplete and fragmented identity signals, evolving privacy requirements, changing measurement methodologies, and increasingly sophisticated advertiser needs. At the same time, our measurements must remain accurate, consistent, timely, explainable, and cost efficient. Small decisions in data processing or attribution methodology can affect measurement for millions of advertisers and influence how significant advertising investments are allocated.
You will lead a team of engineers designing and operating the distributed data systems behind Amazon Ads attribution. Our technology stack includes large-scale data processing using Apache Spark and Amazon EMR, data storage and processing technologies such as Apache Iceberg, DynamoDB, and S3, and distributed services built on AWS technologies including ECS and other cloud-native infrastructure. The team builds systems that ingest, enrich, join, and process massive volumes of advertising and conversion signals and transforms them into accurate, actionable measurements available across Amazon Ads.
This role goes beyond operating an existing platform. You will partner closely with product managers, applied scientists, and economists to shape the long-term vision for attribution measurement. Together, you will determine how Amazon Ads should measure increasingly complex customer journeys, translate new attribution methodologies into scalable production systems, and make deliberate tradeoffs across measurement accuracy, signal coverage, latency, privacy, explainability, and infrastructure cost.
This is a hands-on engineering leadership role. You will set technical direction alongside senior engineers, dive deep into architecture and operational issues, challenge designs with concrete alternatives, and build a team capable of solving difficult distributed-systems and data problems. You will also influence teams across Amazon Ads, aligning measurement architecture and methodologies across advertising products and ensuring that attribution evolves as advertiser needs, privacy expectations, and the advertising ecosystem change.
Your team's work directly influences how advertisers understand the value of Amazon Ads, how campaigns and automated systems optimize advertising investments, and ultimately how Amazon's advertising business grows.
Key job responsibilities
- Partner with product managers, scientists, and economists to shape the vision for attribution measurement, including how Amazon Ads measures advertising effectiveness across products, channels, devices, and conversion types.
- Define and drive the multi-year vision for a big data measurement platform.
- Deliver robust and scalable solutions toward your vision; invent or incorporate new technologies when needed.
- Build, manage, and develop world-class engineers.
- Ensure high-quality design reviews that meet business and architectural goals, and drive critical feedback on architecture and design issues.
- Oversee resource allocation to ensure appropriate business and staff development goals are met.
- Build relationships with software development managers, engineers, product managers, and technical program managers on partner teams to influence the evolution of ads performance measurement.
- Participate in strategic planning to achieve technical and business objectives; interact with customers, other leaders, and your team to construct your plan.
BASIC QUALIFICATIONS
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
PREFERRED QUALIFICATIONS
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 184,900.00 - 250,200.00 USD annually
