Manager, Software Engineering, Ad Data Infra

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 Companyu2019s 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. Weu2019re 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 Snapu2019s Ad Data Infra team, which has the mission to streamline and fortify the backbone of our monetization data processing infrastructure. What youu2019ll do: + 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 Snapu2019s Infrastructure teams, leveraging 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 Knowledge, Skills & Abilities: + 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 Minimum Qualifications: + Bachelors in a technical field such as Computer Science or equivalent experience + 9+ years of post-Bacheloru2019s software development experience; or a Masteru2019s degree in a technical field + 8+ year of post-grad software development experience; or a PhD in a related technical field + 5+ years of post-grad software development experience Preferred Qualifications: + 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 If you have a disability or special need that requires accommodation, please donu2019t be shy and provide us some information (.

Created: 2026-01-16