Analytics Engineer

LangChain

6d•$140,000 - $175,000

About The Position

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’re looking for an Analytics Engineer to join the team. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you.

Requirements

Have 3+ years experience in analytics engineering
Have technical proficiency in BigQuery (or similar), dbt, Looker/ LookML, Airbyte (or similar), Segment
Detail oriented, enjoys data spelunking, and can synthesize findings effectively
Bring curiosity and a strong business sense to help anticipate needs and generate meaningful insights
Start-up DNA with the ability fast-paced and unstructured environments
You are self-directed - you don’t wait for process or oversight to start making an impact

Responsibilities

Work with and expand on our foundational data stack — Looker, dbt, BigQuery, Airbyte
Write LookML and dbt models that describe our business, powering a self-serve analytics experience
Connect data from different sources (Salesforce, Stripe, Metronome, Clickhouse, 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 a deep understanding of our business metrics to drive alignment, prioritization, and decision-making