Engineering Manager, Attribution & Data Science

Amazon

Seattle (WA)

On-site

USD 185,000 - 250,000

Full time

14 days+

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Job summary

Amazon is seeking a Software Development Manager to lead the Measurement, Ad Tech, and Data Science (MADS) team focused on large-scale attribution systems for Amazon Ads. You will drive technical direction, architecture, and team growth while solving challenging distributed-system and data problems across signals, channels, and customer journeys.

You will partner with product managers, applied scientists, and economists to translate measurement methodologies into scalable production systems,

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.

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.