We are looking for an experienced Engineering Manager (M3) to lead a senior, high-performing team building next-generation Database Observability products.
Manage a full-stack engineering team (6–8 engineers) spanning backend systems, database telemetry, agent engineering, and UI workflows.
Own end-to-end delivery sprint planning, roadmap execution, system quality, and operational excellence for critical database ingestion and recommendation pipelines.
Guide the team in harnessing cutting-edge AI technologies including Agentic AI, MCP, and LLMs to evolve database observability from passive monitoring to automated…
Drive architectural discussions around high-throughput, low-latency ingestion, streaming telemetry (Kafka), and database agent development, holding the team to high engineering excellence standards.
Preferred: background in Observability, Database Engineering, SRE, or Performance Tuning domains.
Preferred: exposure to Agentic AI, LLM application architecture, or Model Context Protocol (MCP).
Preferred: experience with real-time streaming architectures (Apache Kafka) and database collector/agent design.
Preferred: hands-on experience with OpenTelemetry (OTel) standards.
Experience: Entry-level
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San Francisco, CA | New York City, NY | Seattle, WANorth America
San Francisco, CA | New York City, NYNorth America
Software Engineer Manager (Database Observability) · New Relic
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