LangChain

4 weeks ago

Software Engineering Manager, Database (SmithDB)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Hands-on Engineering Manager for LangChain's SmithDB, leading a small systems team building a high-performance Rust-based storage and query layer. You will write production code, shape architecture for storage, compaction, and indexing, optimize performance, and deploy multi-tenant SmithDB services on Kubernetes while mentoring engineers and guiding the technical roadmap. You'll collaborate with LangSmith product teams and integrate with S3/GCS/Azure Blob, contributing to observability and data at rest/in flight.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Write and review production Rust code across ingestion, query execution, and storage layers
•Lead architectural decisions on storage format, compaction, indexing, and query planning
•Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix
•Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)
•Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight
•Build and maintain observability for the engine itself: metrics, tracing, debug tooling
•Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers
•Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership
•Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates

Pay and Benefits

Salary: USD 215,000 - 260,000 annually

Perks:MedicalDentalVision401k

Key Requirements

•7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role
•Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale
•Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction
•Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)
•Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment

Experience:7+ yearsSoftwareDatabasesDistributed systemsRustCloud

Skills:RustKubernetesProfilingObservabilityCloud storage (S3/GCS/Azure)Tokio

Tech Stack:RustKubernetesTokioS3GCSAzure Blob

Company Brief

LangChain

Provides an open-source framework and commercial platform (LangSmith/LangGraph) for building, testing, monitoring, and deploying LLM-powered applications and agentic AI for developers and enterprises.

Industry: Developer Tools

Company Size: Medium (51 to 250 employees)

Revenue: USD 10M to 25M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn

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LangChain

4 weeks ago

Software Engineering Manager, Database (SmithDB)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Write and review production Rust code across ingestion, query execution, and storage layers
•Lead architectural decisions on storage format, compaction, indexing, and query planning
•Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix
•Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)
•Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight
•Build and maintain observability for the engine itself: metrics, tracing, debug tooling
•Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers
•Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership
•Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates

Pay and Benefits

Salary: USD 215,000 - 260,000 annually

Perks:MedicalDentalVision401k

Key Requirements

•7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role
•Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale
•Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction
•Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)
•Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment

Experience:7+ yearsSoftwareDatabasesDistributed systemsRustCloud

Skills:RustKubernetesProfilingObservabilityCloud storage (S3/GCS/Azure)Tokio

Tech Stack:RustKubernetesTokioS3GCSAzure Blob

Company Brief

LangChain

Industry: Developer Tools

Company Size: Medium (51 to 250 employees)

Revenue: USD 10M to 25M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn