About the role
Analytics Engineer
Location
Remote - US
Employment Type
Full time
Location Type
Remote
Department
Engineering
Overview
Application
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:
We are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here!
About the role:
We are expanding our data team and looking for a analytics engineer to join us. 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.
\*Location: SF, NYC, Boston, or Remote U.S.
What you will do:
Build scaleable 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
What you'll bring:
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
Compensation & Benefits:
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $140,000-$180,000
Minimum requirements
- 3+ years experience in analytics engineering, data engineering, or similar roles
- Proficiency with BigQuery, dbt, Hex, Fivetran, and Segment or similar tools
- Strong analytical skills, business acumen, and ability to work independently in fast-paced environments
This listing was parsed by AI and may not be complete. Check the official posting on LangChain's site for the most accurate information.