Software Engineering Manager, Database (SmithDB)
- Salary
- $240,000 - $300,000
- Level
- Lead
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 9 September 2026.
About the role
About Us
LangChain's standard text
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
LangChain's standard text
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the team
SmithDB 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 agent 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.
About the role
We'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.
What you'll do
- 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
What you'll bring
- 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
- Familiarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs)
- Proven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge
Nice-to-have:
- Experience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores
- Background in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus)
- Experience scaling a system from early-stage to hundreds of billions / trillions of records
Compensation
Salary Range: $240,000-$300,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
What this role asks for
Particular to this role
ClickHouse · OpenTelemetry · Prometheus · Rust
Rare in LangChain's other 59 open postings.
In most of LangChain's ads
Cloudflare
Named in most of its open postings, whatever the role.
83% of this description is written for the role. The rest is LangChain's standard text, folded away below.
Read against LangChain's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 26 open in Engineering. 7 were posted in the last 30 days and the oldest in February: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Cloudflare (26 of 26), LangChain (26 of 26), LLM (17 of 26), Python (16 of 26), TypeScript (13 of 26), Golang (11 of 26), PostgreSQL (11 of 26)
OTHER ROLES ON THIS TEAM
- FullStack Engineer, AI Observability & Evals Platform (LangSmith) posted Oct 14
- Senior Fullstack Software Engineer, AI Observability & Evals Platform (NY) posted Oct 8
- Senior Backend Software Engineer, AI Observability & Evals Platform (NYC) posted Oct 8
- Analytics Engineer posted Oct 5
- IT Systems Administrator posted Oct 5
- Senior Frontend Engineer, AI Observabilty Platform posted Sep 24
- Senior Fullstack Engineer, AI Observability & Evals Platform posted Sep 12
- Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith) posted Sep 12
- Software Engineering Manager, AI Observability & Evals Platform posted Sep 11
- Developer Productivity posted Sep 10
- Software Engineer, Agent Systems (GTM Engineering) posted Sep 6
- Senior Frontend Platform Engineer, Design Systems posted Aug 22
- Security Engineer - Detection & Response posted Aug 17
- Research Engineer, LangSmith Engine posted Aug 14
- Senior Frontend Engineer, AI Observability & Evals Platform posted Aug 13
- Frontend Engineer, AI Observability & Evals Platform posted Aug 12
- Product Designer posted Jul 23
- IT Systems Engineer posted Jul 10
- Senior Product Engineer - Growth & Monetization posted Jun 10
- Senior Software Engineer, Database (SmithDB) posted May 13
- GTM Engineer posted Apr 29
- GTM Engineer posted Feb 15
- Senior Backend Software Engineer, AI Observability & Evals Platform (SF) posted Jan 8
- Senior Fullstack Engineer, AI Observability & Evals Platform (SF) posted Feb 19
- Python OSS Engineer posted Feb 10
From the team and dates on LangChain's own job board.
See Software Engineer salaries in San Francisco →
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