LangChain Logo

LangChain

Analytics Engineer

Posted 26 Days Ago
Remote
Hiring Remotely in United States
140K-175K Annually
Mid level
Remote
Hiring Remotely in United States
140K-175K Annually
Mid level
Build and expand the company’s analytics data stack using Looker, LookML, dbt, BigQuery, and Airbyte. Develop data models, integrate multiple business systems, create KPI dashboards, and analyze product usage, customer health, adoption, and revenue data. The role empowers business teams with self-service analytics, actionable insights, and data-informed decision-making while developing a strong understanding of business metrics.
The summary above was generated by AI
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

Compensation Philosophy:

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. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

Similar Jobs

10 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architects the data and AI foundation for marketing, sales, and analytics. Responsibilities include building Databricks pipelines, Gold Layer tables, semantic models, documentation, AI-enabled data products, and production LLM or agent systems. The role leads cross-functional initiatives, translates ambiguous business needs into scalable solutions, ensures data quality and reliability, mentors engineers, automates workflows, and partners with BI, data science, marketing, sales, and R&D teams.
Top Skills: Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEtl/EltLakehouse ArchitecturesLlmsMarketing AutomationMartechPythonSalesforceSemantic LayersSnowflakeSQLStreamlitWeb Analytics
13 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
110K-120K Annually
Junior
110K-120K Annually
Junior
Fintech • Real Estate • Software • Financial Services • PropTech
Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.
Top Skills: AmplitudeCi/CdCloud Data WarehousesGitGoogle Analytics 4JavaScriptJson SchemaMixpanelPosthogSegmentSegment ProtocolsSQL
15 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and documentation for self-service analytics. Lead cross-functional data initiatives, ensure reliability and quality, mentor engineers, and build production LLM and agent systems. Translate ambiguous business needs into scalable solutions, automate marketing and go-to-market workflows with AI, and deliver high-quality Python and SQL while overseeing AI-generated code.
Top Skills: Ai AgentsBigQueryClaude CodeCursorDatabricksDbtLlmsPythonSalesforceSnowflakeSQLStreamlit

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account