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Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA)

LangChain

United StatesFull Time$200k–$250k

Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) at LangChain is a full time role based in United States. The listing states pay of $200k–$250k. It was published on 6 February 2026 and was open at last check.

Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) at LangChain — key details
RoleSoftware Engineering Manager, AI Observability & Evals Platform (San Francisco, CA)
CompanyLangChain
LocationUnited States
Employment typeFull Time
Pay (as listed)$200k–$250k
Published6 February 2026
StatusOpen at last check

About Us

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.

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

The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.

About the role

We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.

What you'll do

  • Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
  • Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence
  • Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform
  • Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
  • Maintain a high bar for technical excellence while making sure the team moves with urgency and focus
  • Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript
  • Engage directly with customers to understand their needs and translate them into actionable product improvements

What you'll bring

  • Experience managing or tech-leading teams delivering complex full-stack products
  • Strong technical background in Go/Python and React/Typescript
  • Solid understanding of databases (Postgres, Redis and ClickHouse)
  • Proven ability to design high throughput data-intensive systems
  • Bias towards shipping quickly and learning from customers
  • Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers
  • Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms
  • Annual salary range: $200,000- $250,000

Compensation Philosophy:

We 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.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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Create your free OnJob profile to apply — we'll take you to LangChain's application after sign-up. · Posted 6 Feb 2026.

Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) at LangChain — questions answered

What does the Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) role at LangChain pay?

The Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) at LangChain listing states pay of $200k–$250k for the United States position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Where is the Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) role at LangChain based?

LangChain lists this Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) role in United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with LangChain before you apply.

Is the Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) role at LangChain still open?

The Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) posting at LangChain was open at OnJob's last check of the employer's careers page, having been published on 6 February 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) role at LangChain?

Apply to the Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA) at LangChain role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to LangChain's own application page. Creating a profile is free and needs no card.

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