Analytics Engineer

Remote · USD 140,000-180,000 / year · 3+ years experience · Full-time · Remote · Posted Oct 2, 2026

At a glance

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.

We are expanding our data team and looking for an analytics engineer to join us.
In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data.

Build scalable dbt models and context that describe our business, powering a self-serve analytics experience
Work with and expand on our foundational data stack — Fivetran, dbt, BigQuery, Hex
Connect data from a variety of sources (Salesforce, Stripe, Metronome, Postgres, etc) into our BigQuery warehouse
Build dashboards that track progress against company goals and KPIs
Analyze product usage and operational data to surface insights around customer health, adoption, and revenue
Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making

3+ years experience in a related role (analytics engineer, data engineer, or similar)
Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools)
Detail oriented, enjoys data spelunking, and can synthesize findings effectively
Curiosity and a strong business sense to help anticipate needs and generate meaningful insights
Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most
You are self-directed - you don’t wait for process or oversight to start making an impact