AmazonSoftware Development Manager, Measurement, Ad Tech, and Data Science
Amazon is hiring a Software Development Manager, Measurement, Ad Tech, and Data Science in Seattle, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Apache Spark, Amazon Emr and Apache Iceberg.
- Level classifies it as a lead role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Lead a software engineering team building large-scale attribution measurement systems and distributed data platforms at Amazon Ads.
Attribution is at the heart of advertising measurement — connecting ad interactions with downstream outcomes such as purchases, subscriptions, and conversions. Building accurate attribution at Amazon scale is a uniquely challenging engineering and scientific problem: our systems must connect signals across complex customer journeys, advertising products, devices, and channels while navigating fragmented identity signals, evolving privacy requirements, changing measurement methodologies, and increasingly sophisticated advertiser needs. Small decisions in data processing or attribution methodology can affect measurement for millions of advertisers and influence how significant advertising investments are allocated.
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'll partner closely with product managers, applied scientists, and economists to shape the long-term vision for attribution measurement — determining how Amazon Ads should measure increasingly complex customer journeys, translating new methodologies into scalable production systems, and making deliberate tradeoffs across measurement accuracy, signal coverage, latency, privacy, transparency, and infrastructure cost. Our technology stack includes large-scale data processing using Apache Spark and Amazon EMR, data storage and processing with Apache Iceberg, DynamoDB, and S3, and distributed services built on AWS cloud-native infrastructure.
Key job responsibilities
- Own the 1-2 year technical vision and strategic direction for a big data measurement platform, defining how attribution evolves to meet increasingly complex advertiser needs and privacy requirements
- Build, manage, and develop a team of world-class engineers — establishing team structure, assessing skills, delegating ownership, and growing future leaders
- Partner with product managers, scientists, and economists to shape the vision for attribution measurement across products, channels, devices, and conversion types
- Set technical direction alongside senior engineers — ensuring high-quality design reviews, driving critical feedback on architecture, and challenging proposals with concrete alternatives
- Deliver robust and scalable solutions toward your vision; invent or incorporate new technologies when needed to stay ahead of growing scale
- Build relationships with peer SDMs, engineers, product managers, and TPMs on partner teams to influence the evolution of ads performance measurement across Amazon Ads
- Oversee resource allocation to balance tactical delivery needs against strategic goals and staff development
- Participate in organizational planning (OP1/OP2) to achieve technical and business objectives; interact with customers, leadership, and your team to construct your plan
About the team
The Measurement, Ad Tech, and Data Science (MADS) organization defines and produces the metrics advertisers rely on to analyze the performance of their ad investments. The measurements our systems produce 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.
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
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.
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
How we rate this
Software Development Manager, Measurement, Ad Tech, and Data Science at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where attribution modeling was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Walk me through how you've used Apache Spark in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Data Engineering, Attribution Modeling, Team Management, and Apache Spark. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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