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Manager, Software Engineering, Ads Data Infra

About the position

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles . Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Software Engineering Manager to join Snap’s Ad Data Infra team, which has the mission to streamline and fortify the backbone of our monetization data processing infrastructure, and modernize our ads data management and utilization with AI.

Responsibilities

Manage and mentor a team of engineers, in a fast-paced, quick-to-market environment
Set the strategy, build a roadmap, create measurable goals, and lead your team to deliver
Collaborate with cross-functional teams and stakeholders and be the interface between Monetization engineering and our infrastructure partners, including both the cloud providers and Snap’s Infrastructure teams, leverage their investments to modernize monetization data processing.
Evaluate the technical tradeoffs of major decisions and be a strong technical mentor
Hire, grow and retain high-performing team members

Requirements

Background with building high availability and mission critical systems, with strong technical understanding of trade-offs of modern data processing, storage, and querying solutions (such as Flink, Google Cloud Dataflow, Datalake, Google BigQuery), preferably with experience on their integration with AI agents.
Experience with leading an engineering team
Ability leading and executing large, complex technical initiatives
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
8+ years of post-Bachelor’s software development experience; or a Master’s degree in a technical field + 7+ year of post-grad software development experience; or a PhD in a related technical field + 4+ years of post-grad software development experience
1+ years of experience as manager for an engineering team

Nice-to-haves

Track record of delivery in rapidly changing, highly collaborative, multi-stakeholder environments
Experience with large-scale distributed data processing systems or data pipelines
Hands-on experience with building solutions on top of modern data ingestion, processing, and warehousing infrastructure, such as Kafka, Spark, Flink, Iceberg, or managed solutions like Google Dataproc, Databricks, etc.
Proficiency in using data analysis tools like Google BigQuery or Trino.
Experience with AI Agent development and MCP protocol

Benefits