Analytics Engineer
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- Stated location
- Remote - US
- Listing updated on our site
- 14 Nov 2026, 07:01 EAT
Last seen in the live employer feed: 14 Nov 2026, 07:00 EAT. This confirms a feed listing, not employer endorsement of an application.
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| Employer | Verified Direct Employer (Protected) |
|---|---|
| Location | Remote - US |
| Remote type | Remote |
| Posted | 1mo ago |
| Application Status | Pro Membership & Free Pass Access |
About this role (Direct Employer Details Protected)
About Us
At [Employer], our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
About the team:
We are a small but mighty team of three analytics engineers powering [Employer]’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.
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