Analytics Engineer

LangChain; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

health and dental coverage

flexible vacation

401(k) plan

life insurance

Job summary

LangChain is seeking an Analytics Engineer to join our Engineering team in the United States. You will help build the data foundation, diagnose issues, and generate actionable insights to guide product and business decisions.

You will expand our data stack with Looker, dbt, BigQuery, and Airbyte, create LookML models, connect Salesforce and Stripe data, and build dashboards to track KPIs and customer health. This role offers a hands-on, fast-paced environment with meaningful impact.

Qualifications

• 3+ years of analytics engineering experience.
• Proficiency with BigQuery, dbt, Looker/LookML, Airbyte, and Segment.
• Detail oriented and able to synthesize findings clearly.
• Self-directed, proactive in fast-paced, unstructured environments.

Responsibilities

• Expand and maintain our foundational data stack (Looker, dbt, BigQuery, Airbyte).
• Write LookML and dbt models describing business metrics.
• Consolidate data from Salesforce, Stripe, and other sources into the warehouse.
• Build dashboards to track company goals and KPIs.
• Analyze product usage and operational data to surface insights on health, adoption, and revenue.
• Develop a deep understanding of business metrics to drive alignment and prioritization.

Skills

Analytics mindset

Data storytelling

Self-directed

Business awareness

Tools

BigQuery

dbt

Looker/LookML

Airbyte

Segment

Job description

Analytics Engineer

Location

United States

Employment Type

Full time

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 role

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.

What you will do

• 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

What you'll bring

• 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

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.

• health and dental coverage
• flexible vacation
• 401(k) plan
• life insurance

Annual salary range: $140,000-$180,000