Analytics Engineer

Wwshemi; Northern (KY); Remoto; USD 140.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health and dental coverage

401(k) plan

Flexible vacation

Life insurance

Descrizione del lavoro

LangChain is expanding its data team and seeks an analytics engineer to help our business units diagnose issues, uncover opportunities, and drive success with data. You will build scalable data infrastructure and empower teams with actionable insights, supporting growth across our platform and customers.

Location options include SF, NYC, Boston, or Remote U.S. You will work across data ingestion to self-serve analytics, partnering with product and sales to quantify performance and inform

Competenze

• 3+ years of experience in analytics engineering, data engineering, or similar.
• Strong proficiency with BigQuery, dbt, Hex, Fivetran, and Segment.
• Detail oriented, capable of data spelunking and synthesizing insights.
• Curiosity and business sense to drive meaningful recommendations.
• Startup-minded and thrive in fast-paced, unstructured environments.
• Self-directed and proactive in making an impact.

Mansioni

• Build scalable dbt models and context to describe our business metrics and power self-serve analytics.
• Expand and maintain our foundational data stack – Fivetran, dbt, BigQuery, Hex.
• Ingest data from Salesforce, Stripe, Metronome, Postgres, and more into BigQuery.
• Create dashboards tracking progress against KPIs and company goals.
• Analyze product usage and operational data to surface insights on health, adoption, and revenue.
• Translate data findings into actionable business recommendations.

Conoscenze

Analytical mindset

Business sense

Self-directed

Curiosity

Strumenti

BigQuery

dbt

Hex

Fivetran

Segment

Descrizione del lavoro

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 (https://www.langchain.com/blog/agent-data-stack)!

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

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.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.