Amazon.com Services LLC
Advertising Technology
SoftwareDevelopmentManager,AdvancedAnalytics
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“Software Development Manager, Advanced Analytics at Amazon.com Services LLC. Skills: Advanced analytics, AI, Data infrastructure, Log-level data. Build end-to-end log-level data infrastructure. Capture raw event data”
What You'll Achieve.
Understand auction competitiveness; Identify revenue opportunities; Optimize floor pricing; Ensure supply chain transparency; Meet business goals; Meet staff development goals
Industry & Context.
Problem-solving skills; Analytical abilities
What They're Looking For.
Must Have
3+ years engineering team management, 7+ years engineering teams experience, 3+ years designing or architecting systems, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management, Experience partnering with program management
Nice to Have
Experience communicating with users, Experience communicating with technical teams, Experience communicating with senior leadership, Experience recruiting engineers, Experience hiring engineers, Experience mentoring engineers, Experience coaching engineers, Experience managing engineers
What You'll Do.
Build end-to-end log-level data infrastructure
Capture raw event data
Define technical vision
Define multi-year roadmap
Drive architectural decisions
Establish data quality standards
Establish monitoring practices
Establish operational excellence practices
Build innovative engineers
Manage innovative engineers
Develop innovative engineers
Make hiring recommendations
Guide product managers
Mentor product managers
Guide program managers
Mentor program managers
Deliver robust solutions
Deliver scalable solutions
Invent new technologies
Incorporate new technologies
Oversee resource allocation
Build relationships with managers
Build relationships with engineers
Build relationships with product managers
Build relationships with technical program managers
Influence product development
Participate in strategic planning
Interact with customers
Interact with leaders
How You'll Work.
Team & Collaboration
Upstream teams; Downstream teams; Cross-functional teams
Communication Scope
Technical designs; Product strategy
Process & Methodology
Roadmap planning
Full Job Description
We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering cutting-edge AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions. In the programmatic advertising industry, transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level data—granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs—provides advertisers with unprecedented visibility into individual ad impressions, bid prices, viewability scores, and supply path. This role will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale, empowering our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency. Candidates for this position should be creative, demonstrated leader with excellent analytical abilities and a strong drive to deliver results. This opportunity requires deep technical, problem-solving and communication skills. Key Responsibilities: - Build and own end-to-end log-level data infrastructure capturing raw, unaggregated event data for advertising measurement and attribution - Define technical vision and multi-year roadmap for LLD systems supporting billions of daily ad requests, bid responses, impressions, clicks, and conversions - Drive architectural decisions for high-throughput, low-latency data ingestion and processing pipelines handling millions of rows and hundreds of columns per day - Establish data quality standards, monitoring, and operational excellence practices to ensure data accuracy, completeness, and
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