Analytics Engineer

United States

Full time

Engineering

Application

At Lang Chain, 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. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes Lang Smith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (Lang Chain, Lang Graph, and Deep Agents), and the newly launched Lang Smith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active Lang Smith customers, and 5 of the Fortune 10 use Lang Smith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, Linked In, , Nvidia, and Bridgewater.

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.

• Work with and expand on our foundational data stack — Looker, dbt, Big Query, 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 Big Query 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

• Have 3+ years experience in analytics engineering
• Have technical proficiency in Big Query (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

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.

• health and dental coverage
• flexible vacation
• 401(k) plan
• life insurance

Annual salary range: $140,000-$180,000