Manager, Software Engineering, Ads Data Infra

Software Engineering Manager, Ad Data Infra 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. What you’ll do Manage and mentor a team of engineers in a fast‑paced, quick‑to‑market environment Set 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, leveraging their investments to modernize monetization data processing Evaluate the technical trade‑offs 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 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 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 Benefits Our benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that allow you to share in Snap’s long‑term success. Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. The base salary range is $229,000–$343,000 for Zone A, $218,000–$326,000 for Zone B, and $195,000–$292,000 for Zone C. This position is eligible for equity in the form of RSUs. Equal Opportunity At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal‑opportunity employer and is committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law. #J-18808-Ljbffr Snap Inc.