Uber
Sr Manager, Security Engineering - Engineer
$267K–$297K
Seattle, Washington · Manager · Full-time · Posted Oct 9, 2026
- Experience
- 5+ years of full-time software engineering or security engineering experience before Engineering Management; 5+ years of full-time Engineering Management experience.
- Education
- Bachelor’s Degree or equivalent in Computer Science, Engineering, Information Security, or a related technical field.
About the job
Leads Uber’s Detection Engineering organization, setting strategy and delivering scalable security detections and platforms across corporate, production, and cloud environments.
What you'll do
- Own detection strategy, threat coverage, detection content, and the platforms and pipelines that process security telemetry.
- Improve detection speed and signal quality, partner with incident response, and lead responsible deployment of AI/ML for detection and triage.
- Manage and grow engineering teams; guide cross-functional and vendor partnerships and build-versus-buy decisions.
What they ask for
- Bachelor’s Degree or equivalent in Computer Science, Engineering, Information Security, or a related technical field.
- 5+ years of full-time software engineering or security engineering experience prior to Engineering Management experience.
- 5+ years of full-time Engineering Management experience, including leading senior/staff engineers and growing other leaders.
- Demonstrable expertise owning complex detection and response programs, plus a track record of multi-team technical strategy and measurable outcomes.
Nice to have
- Master’s Degree or PhD in a related field.
- Hands-on detection engineering and experience operating detection platforms at scale, working with public cloud security, or incorporating AI/ML and LLM techniques into production security systems.
Pay
USD $267,000 per year - USD $297,000 per year (base salary)
Tools
MITRE ATT&CK, SIEM, Elastic, Splunk, Kafka, Flink, CrowdStrike, GCP
AI focus
Leads responsible adoption of ML and LLM-based techniques for detection, triage, correlation, and case enrichment, taking them from research to production with fairness, safety, auditability, and compliance.
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