> Markdown version of [/jobs/ext/1041746-manager-software-engineering-ads-data-infra](https://www.wearedevelopers.com/jobs/ext/1041746-manager-software-engineering-ads-data-infra). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Manager, Software Engineering, Ads Data Infra

- **Company:** Snap Inc.
- **Location:** New York, NY, United States
- **Salary:** $229,000.0 - $343,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Computing Environment, Data Flow Control, Cloudera, Software Engineering, Data Processing, Google Cloud, Data Ingestion, System Availability, Apache Spark, Data Lakes, Information Technology, Apache Flink, Google Bigquery, Apache Kafka, Data Management, Virtual Agents, Data Pipelines, Databricks
- **Published:** June 7, 2026
- **Apply:** https://www.dice.com/job-detail/46f7167e-fad7-4385-acbb-baab713f0c5f

## About the Role

* 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, * 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

## Description

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 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


## Related Videos

- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)
- [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)