{"schemaVersion":"jobsearcher.job.v1","id":"0b5b345084343943f1b4b53f","url":"https://jobsearcher.com/jobs/0b5b345084343943f1b4b53f","canonicalUrl":"https://jobsearcher.com/jobs/0b5b345084343943f1b4b53f","title":"Software Engineering Manager, Database (SmithDB)","description":"About the team\r\nSmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agenbt traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.\r\nAbout the role\r\nWe're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.\r\nWhat you'll do\r\nWrite and review production Rust code across ingestion, query execution, and storage layers\r\nLead architectural decisions on storage format, compaction, indexing, and query planning\r\nDrive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix\r\nDesign and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)\r\nContribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight\r\nBuild and maintain observability for the engine itself: metrics, tracing, debug tooling\r\nManage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers\r\nOwn the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership\r\nCommunicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates\r\nWhat you'll bring\r\n7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role\r\nProduction Rust experience — you can write it, review it, and have opinions on how to structure it at scale\r\nDeep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction\r\nProficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)\r\nExperience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment\r\nFamiliarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs)\r\nProven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge\r\nNice-to-have\r\nExperience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores\r\nBackground in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus)\r\nExperience scaling a system from early-stage to hundreds of billions / trillions of records\r\nCompensation\r\nSalary Range: $215,000-$260,000 USD\r\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\r\nBenefits\r\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.\r\nJ-18808-Ljbffr","company":"Langchain","rawCompany":"langchain","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-16T01:47:49.823Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineering Manager, Database (SmithDB)","description":"About the team\r\nSmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agenbt traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.\r\nAbout the role\r\nWe're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.\r\nWhat you'll do\r\nWrite and review production Rust code across ingestion, query execution, and storage layers\r\nLead architectural decisions on storage format, compaction, indexing, and query planning\r\nDrive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix\r\nDesign and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)\r\nContribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight\r\nBuild and maintain observability for the engine itself: metrics, tracing, debug tooling\r\nManage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers\r\nOwn the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership\r\nCommunicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates\r\nWhat you'll bring\r\n7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role\r\nProduction Rust experience — you can write it, review it, and have opinions on how to structure it at scale\r\nDeep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction\r\nProficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)\r\nExperience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment\r\nFamiliarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs)\r\nProven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge\r\nNice-to-have\r\nExperience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores\r\nBackground in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus)\r\nExperience scaling a system from early-stage to hundreds of billions / trillions of records\r\nCompensation\r\nSalary Range: $215,000-$260,000 USD\r\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\r\nBenefits\r\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:47:49.823Z","dateModified":"2026-07-16T01:47:49.823Z","hiringOrganization":{"@type":"Organization","name":"Langchain","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0b5b345084343943f1b4b53f"},"url":"https://jobsearcher.com/jobs/0b5b345084343943f1b4b53f"}}