Software Engineering Manager, AI Observability & Evals Platform
Cambridge, Massachusetts, United States · On-site
$200k–$240k/yr
Senior$160M raised
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$200k–$240k/yr
Full-time
Medical coverage, Dental coverage, Vision coverage, Flexible vacation, 401(k) plan, Meals on in-office days
Posted 9h ago
~40 hrs/week
Responsibilities
Lead and mentor a high-performing engineering team to build and scale the LangSmith observability and evaluation platform. Partner with product and design teams to define technical direction and deliver reliable, high-quality features for AI systems.
Requirements
Requires experience managing or tech-leading teams delivering complex full-stack products with proficiency in Go, Python, and React/Typescript. Candidates must have a solid understanding of databases and the ability to design high-throughput, data-intensive systems.
Full 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: $200,000- $240,000
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.
LangChain enables every company to own their intelligence. LangChain's open, model-agnostic harnesses give teams choice and control over how they build their agent architecture. LangSmith brings testing, deployment, and monitoring together so teams can continuously improve their agents, compound intelligence, and govern them at scale. More than 7,000 customers, including Nvidia, Bridgewater, LinkedIn, Workday, Harvey, and Rippling trust LangSmith to improve their agents across the Agent Development Lifecycle.
Offices: San Francisco, CA 94107, US · New York, NY, US · Cambridge, MA, US · Amsterdam, NL · London, GB
How much do Data & Analytics jobs in Cambridge, MA pay?
Based on 425 listings with disclosed salaries, most data & analytics jobs in Cambridge, MA pay between $116k–$260k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Cambridge, MA right now?
There are currently 529 open data & analytics positions in Cambridge, MA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Cambridge, MA?
Companies currently hiring include Novartis, Harvard Division of Medical Sciences, Sanofi, Biogen, Lila Sciences, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Cambridge, MA?
Yes — 290 of the 529 open data & analytics positions offer remote or hybrid work (42 remote, 248 hybrid).
How do I apply for Data & Analytics jobs in Cambridge, MA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.