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# Software Engineer, Ad Signals

- **Company:** reddit Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $190,800.0 - $267,100.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Common ISDN Application Programming Interface (CAPI), Computer Programming, Data Deduplication, Distributed Systems, Standard Sql, Software Engineering, Backend, Data Lineage, Api Design
- **Published:** October 23, 2026
- **Apply:** https://job-boards.greenhouse.io/reddit/jobs/8319655

## About the Role

* Demonstrated senior-level backend software engineering experience delivering and operating scalable production systems.
 * Hands-on app ads signals or mobile measurement experience, with depth in MMP integrations, SKAN, or app conversion APIs.
 * Strong programming, API design, distributed systems, and SQL skills, supported by independent problem solving and data investigation.
 * Clear communication and a record of delivering results with cross-functional teams and stakeholders.

## Description

We are seeking a senior backend software engineer to help build the app conversion signals that power Reddit's app advertising business. You will work on MMP integrations, SKAN processing, and App CAPI to make app installs and in-app events more reliable, useful, and easier for advertisers to integrate., * Own backend projects across MMP, SKAN, and App CAPI, from requirements and design to implementation, rollout, and ongoing operation.

 * Build scalable ingestion and processing services with clear contracts, validation, deduplication, failure recovery, and data lineage.
 * Develop integration tooling and diagnostics that help advertisers and partners identify and resolve signal delivery problems.
 * Analyze signal quality and delivery metrics, investigate discrepancies, and prioritize improvements with product and data science partners.
 * Work with partner engineering and downstream consumers to evolve schemas and integrations without disrupting existing advertisers.
 * Incorporate privacy and security requirements into system design, and maintain controls throughout the data lifecycle.
 * Raise engineering quality through testing, design reviews, incident learning, and mentorship.