LangChain

LangChain

Analytics Engineer

Remote - US · Mid

Sponsorship not specified$140k-$180kDetected 11 days ago
Full-Stack DevelopmentPostgreSQLBigQuerydbtAgentic AILangGraphSalesforceHRISLeadershipCommunication

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are expanding our data team and looking for a analytics engineer to join us.
  • We are a small but mighty team of three analytics engineers powering LangChain's internal data infrastructure and analytics.

Responsibilities

  • Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience
  • Build dashboards that track progress against company goals and KPIs
  • Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making
  • 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.

Requirements

  • Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools)
  • You are self-directed - you don't wait for process or oversight to start making an impact

Compensation

  • We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
  • We are hiring for this role across a range of scope, and the compensation band reflects that.
  • $140,000-$180,000
  • Compensation Philosophy:
  • 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.
  • Annual salary range:

Benefits

  • Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
  • 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.
  • For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
  • Analyze product usage and operational data to surface insights around customer health, adoption, and revenue
  • Compensation & Benefits:
  • Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Company info

  • 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 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!
  • 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.
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This listing is sourced directly from LangChain's careers page and normalized into a canonical job model.