Were looking for a Software Engineering Manager to join Snaps 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 youll 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 Snaps 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 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 Degree in a relevant technical field such as computer science or equivalent years of practical work experience - 8+ years of post-Bachelors software development experience; or a Masters 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 "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. Our Benefits: Snap Inc. is its own community, so weve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snaps long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $229,000-$343,000 annually. Zone B: The base salary range for this position is $218,000-$326,000 annually. Zone C: The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.