Senior Engineering Lead, Advertising Data Platform

Amazon

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Amazon.com Services LLC is seeking a Sr Manager, Software Development to lead an advertising technology team building self-service performance ads that power discovery and sales across Retail and Marketplace. You will assemble and mentor engineers, own data processing systems, and drive evolution of analytics platforms serving our advertiser base.

You will collaborate with product, finance, data science, and BI teams, make data-driven decisions, and communicate strategies to engineers and

Qualifications

  • 10+ years of engineering experience.
  • 5+ years of engineering team management experience.
  • 10+ years of planning, designing, developing and delivering consumer software experience.
  • Experience partnering with product or program management teams.
  • Experience managing multiple concurrent programs in an Agile environment.

Responsibilities

  • Assemble and lead an engineering team to solve challenging technical and business problems, fostering a collaborative environment.
  • Own day-to-day maintenance and evolution of analytics systems and platforms serving our advertiser base.
  • Partner with cross-functional stakeholders including product, finance, data science, and BI teams to scope technical solutions.
  • Make data-driven decisions by analyzing system performance and business metrics to inform improvements.
  • Communicate clearly with engineers, peers, and leadership to align on strategy and drive execution.

Skills

Team leadership
Data-driven decisions
Stakeholder communication

Job description

Amazon.com Services LLC is seeking a Sr Manager, Software Development to lead an advertising technology team building self-service performance ads that power discovery and sales across Retail and Marketplace. You will assemble and mentor engineers, own data processing systems, and drive evolution of analytics platforms serving our advertiser base.

You will collaborate with product, finance, data science, and BI teams, make data-driven decisions, and communicate strategies to engineers and

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