---
title: 'Software Engineering Manager, AI Observability & Evals Platform (Boston) at LangChain'
canonical: 'https://feeny.ai/job/software-engineering-manager-ai-observability-evals-platform-boston-langchain-ew0a55rxjv5d'
type: 'job'
last_seen: '2026-10-29'
---

# Software Engineering Manager, AI Observability & Evals Platform (Boston) at LangChain

- **Company:** [LangChain](https://feeny.ai/companies/langchain)
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-20
- **Last confirmed live:** 2026-10-29
- **Apply:** https://jobs.ashbyhq.com/langchain/f0396971-39fa-4d40-9af8-60e529bb6c86

## Job description

## 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: $220,000- $270,000 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.

## About LangChain

## Company Overview
- **One-liner**: LangChain provides an agent engineering platform and open source frameworks that help developers build, evaluate, deploy, and operate reliable AI agents at scale.
- **Entity Type**: Private (Series B, unicorn)
- **Headquarters**: San Francisco, California, United States (with offices in New York, Boston, and Amsterdam)
- **Founded**: Early 2023
- **Founders**: Harrison Chase and Ankush Gola

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Developer Tools, Agent Engineering
- **Target customers**: B2B – developers and engineering teams at enterprises (35% of Fortune 500 are customers) and startups
- **Mission or purpose statement**: “Make intelligent agents ubiquitous” – develop tools that make it easy to build reliable agents that can use data and take actions.

## Products & Services
- **[LangSmith](https://www.langchain.com/)**: Commercial agent engineering platform offering observability, evaluation (LLM-as-judge, human feedback), and deployment. Includes LangSmith Engine for automated issue detection and root cause analysis. Supports Python, TypeScript, Go, and Java SDKs.
- **[LangGraph](https://www.langchain.com/)**: Open source framework for building production agents with low-level control, durable checkpointing, and support for human-in-the-loop, multi-agent swarms, and A2A/MCP protocols.
- **[LangChain](https://www.langchain.com/)**: Original open source framework for building agents quickly with templates and any model provider.
- **[Deep Agents](https://www.langchain.com/)**: Agent harness for autonomous, long-horizon tasks with built-in memory and concurrency.
- **[Fleet](https://www.langchain.com/)**: No-code agent builder that lets non-technical users describe tasks in plain language; agents act across daily tools with enterprise security.

## Market Standing
- **Valuation/Market Cap**: $1.25 billion (unicorn status, per November 2025 Series B round)
- **Key Metric**: Total Funding – $160 million (Seed: $10M led by Benchmark; Series A: $25M led by Sequoia Capital; Series B: $125M led by IVP). Annual Revenue (LinkedIn estimate): $8.5 million.
- **Notable Investors/Partners**: IVP (lead Series B), Benchmark (lead Seed), Sequoia Capital (lead Series A). Customers include Zip, Vanta, Klarna, Workday, LinkedIn, Cloudflare.
- **Growth Signals**:
  - Headcount: 212 employees (+264.8% YoY, +9.9% monthly)
  - 1 billion+ monthly open source downloads
  - 1 billion+ events ingested per day on LangSmith
  - 35% of Fortune 10 are LangSmith customers
  - 6,000+ active LangSmith customers
  - Awards: Forbes AI 50, InfraRed 100, IA40, Enterprise Tech 30
  - Active job postings: 123 (monthly +4.2%, yearly +668.8%)

## Competitive Advantages
- **Open source ecosystem**: LangChain and LangGraph are the most popular open source frameworks for building LLM agents, with a massive community (100M+ monthly downloads) that drives adoption and talent.
- **Full lifecycle platform**: Covers building (open source frameworks), evaluating (LangSmith), deploying (agent server), and operating (LangSmith Engine) – a vertically integrated solution.
- **Framework-agnostic**: LangSmith works with any agent stack (OpenAI, Anthropic, etc.) via SDKs, reducing vendor lock-in.
- **Enterprise trust**: Already embedded in Fortune 500 companies; strong security and compliance features for production AI.

## Strategic Focus
- **Agent reliability**: Investing heavily in evaluation and observability to make agents “reliably good” – the hardest problem in production AI.
- **Long-horizon autonomy**: Deep Agents and Fleet target autonomous, multi-step tasks that require memory and human collaboration.
- **Global expansion**: Offices in US, Europe, and India; hiring across sales, engineering, and customer success to serve a growing international customer base.

## Why Work Here
- **Culture**: Fast-moving, open source–first startup with a mission to shape how the world uses AI. Described as hiring “the best in the business” with a focus on engineering excellence.
- **Work policy**: Hybrid/office presence in San Francisco, New York, Boston, and Amsterdam. Remote roles may exist (not explicitly stated, but global hiring suggests flexibility).
- **Notable perks/engineering culture**:
  - Work on cutting-edge agent technology used by millions of developers.
  - High autonomy and impact – small team with big ambitions.
  - Strong alumni network from top tech companies (AWS, Datadog, HashiCorp, GitLab, etc.).
  - Recent departures include VP of Marketing (Diana Smith, Mar 2026) – indicates some churn, but overall rapid hiring.
  - Active job postings across engineering, sales, product, and consulting – strong growth trajectory.

## Sources
1. [langchain.com](https://www.langchain.com/) – Official website (products, stats, customers)
2. [langchain.com/careers](https://www.langchain.com/careers) – Careers page (awards, values)
3. [langchain.com/about](https://www.langchain.com/about) – About page (mission, history, funding, team)
4. [linkedin.com/company/langchain](https://www.linkedin.com/company/langchain) – LinkedIn profile (headcount, revenue, funding rounds, job trends, talent sources)

## Other roles at LangChain

- [Founding Emerging Talent Recruiter](https://feeny.ai/job/founding-emerging-talent-recruiter-langchain-san-francisco-hrtx075p2a9a) — San Francisco, CA
- [Director of Commercial Sales](https://feeny.ai/job/director-of-commercial-sales-langchain-san-francisco-1w3app6qrfgr) — San Francisco, CA
- [Product Manager, LangSmith](https://feeny.ai/job/product-manager-langsmith-langchain-new-york-d3agc07jadz6) — New York, NY
- [Software Engineering Manager, AI Observability & Evals Platform (New York, NY)](https://feeny.ai/job/software-engineering-manager-ai-observability-evals-platform-new-york-ny-hzz5gw21th8t) — New York, NY
- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-langchain-san-francisco-5s6e6bsbq9g6) — San Francisco, CA
- [Sales Development Representative (NY)](https://feeny.ai/job/sales-development-representative-ny-langchain-new-york-7v3njrx83deb) — New York, NY
- [Sales Development Representative (London) - EMEA](https://feeny.ai/job/sales-development-representative-london-emea-langchain-london-7gfqvzxmszbz) — London, United Kingdom
- [Deployed Engineer (Singapore) - APAC](https://feeny.ai/job/deployed-engineer-singapore-apac-langchain-singapore-zxdt1mhygas5) — Singapore
- [Order Management Operations & Automation](https://feeny.ai/job/order-management-operations-automation-langchain-new-york-ektpc5keymhq) — New York, NY
- [Order Management Operations & Automation](https://feeny.ai/job/order-management-operations-automation-langchain-san-francisco-tk2azd0cjmw2) — San Francisco, CA