Engineering Manager, Scalable Attribution Systems

Socket.dev; Seattle (WA); On-site; USD 185,000 - 250,000; Full time

Job summary

Amazon in Seattle is seeking a hands-on engineering leader to direct the large-scale attribution systems that measure how ads investments drive outcomes. You will guide architecture, scale, and data processing across Spark, EMR, Iceberg, DynamoDB, and S3.

You will recruit and mentor engineers, partner with product managers, scientists, and economists to shape attribution strategies, balancing latency, privacy, and cost while delivering robust, scalable solutions.

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

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

Skills

Engineering leadership

Team management

Cross-functional collaboration

System design/architecture

Product-management partnership

Tools

Apache Spark

Amazon EMR

Apache Iceberg

DynamoDB

S3

AWS cloud

Job description

Amazon in Seattle is seeking a hands-on engineering leader to direct the large-scale attribution systems that measure how ads investments drive outcomes. You will guide architecture, scale, and data processing across Spark, EMR, Iceberg, DynamoDB, and S3.

You will recruit and mentor engineers, partner with product managers, scientists, and economists to shape attribution strategies, balancing latency, privacy, and cost while delivering robust, scalable solutions.