About this role
This Analytics Engineer role is crucial for LangChain as the company scales its platform and relies heavily on data to inform strategy and product development. The team builds the core infrastructure and observability tools, including LangSmith and various open-source frameworks, which are used by a large number of developers and Fortune 10 companies. This position exists to establish the data foundation that allows business teams to accurately diagnose issues, identify growth opportunities, and make data-driven decisions regarding product usage and customer health.
The successful candidate will be instrumental in shaping how data is structured and analyzed across the organization. They will contribute directly to the data stack, ensuring that data flows reliably from various sources into the BigQuery warehouse. This role is ideal for someone who enjoys building robust data infrastructure and translating complex data into actionable business insights.
This role is suited for an individual who thrives in a fast-paced, unstructured environment and possesses a strong business acumen. If you are motivated by creating tools that empower others with clear, actionable insights, and enjoy deep-diving into data to uncover new perspectives, this opportunity aligns well with the mission of LangChain.
What you will do
- Work with and expand the foundational data stack, which includes Looker, dbt, BigQuery, and Airbyte.
- Write LookML and dbt models to create a self-serve analytics experience for the business.
- Connect disparate data sources, such as Salesforce, Stripe, and Clickhouse, into the BigQuery warehouse.
- Develop dashboards to monitor progress against defined company goals and key performance indicators.
- Analyze product usage and operational data to derive insights concerning customer health, adoption rates, and revenue.
- Develop a deep understanding of business metrics to support alignment, prioritization, and decision-making processes.
What you need
- Possess at least three years of professional experience in analytics engineering.
- Demonstrate technical proficiency with BigQuery or a similar data warehouse solution.
- Must have hands-on experience with dbt, Looker/LookML, and Airbyte or comparable tools.
- Should be detail-oriented and enjoy the process of data exploration and analysis.
- The candidate must be able to synthesize complex findings into clear, meaningful insights.
- A strong business sense is required to anticipate needs and generate valuable insights.
- Must possess a startup DNA, showing the ability to operate effectively in fast-paced and unstructured settings.
- Must be self-directed and capable of driving impact without waiting for formal oversight.
Nice to have
- Experience with Segment
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Flexible vacation
- 401(k) plan
- Life insurance
- Meals on in-office days in the US
Skills and tech stack
Questions candidates ask
What is the remote policy?
The posting does not specify the remote work policy. However, the role is listed as FullTime and the location is United States.
What is the compensation structure?
The compensation includes a base salary ranging from $140,000 to $175,000, along with meaningful equity and variable compensation for relevant roles.
What is the primary tech stack?
The core data stack involves Looker, dbt, BigQuery, and Airbyte, with LookML being used for modeling.
What is the team environment like?
The role is designed for someone with a startup DNA, emphasizing the ability to thrive in fast-paced and unstructured environments.