12h LangChain Analytics Engineer LangChain 12h Analytics Engineer

Applied Methods Ltd; United States; Hybrid; USD 140,000 - 175,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Flexible vacation

401(k) plan

Life insurance

Meals on in-office days

Job summary

LangChain is seeking an Analytics Engineer to help build a scalable data foundation used by millions of developers and elite companies. You will own and extend our data stack, craft models, and deliver actionable insights that inform product and business decisions.

You will work with sources like Salesforce, Stripe, and ClickHouse, and contribute to dashboards driving KPIs and revenue insights. This role emphasizes curiosity, startup agility, and self-direction.

Qualifications

• 3+ years experience in analytics engineering.
• Proficiency in BigQuery (or similar), dbt, Looker/LookML, Airbyte (or similar), Segment.
• Detail oriented, enjoys data spelunking, and can synthesize findings effectively.
• Curious with strong business sense to anticipate needs and generate insights.
• Startup DNA with ability to thrive in fast-paced, unstructured environments.
• Self-directed—start making an impact without much oversight.

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

Skills

Analytics engineering

Business sense

Tools

BigQuery

dbt

Looker/LookML

Airbyte

Segment

ClickHouse

Job description

## About the roleAt 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.**Annual salary range:** $140,000-$175,000**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.# BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.