Letter AI

Compensation

Full Description

Data Engineer Chicago Go-To-Market Chicago or San Francisco, Hybrid (3 Days In-Office) Full-time About Letter AI Letter AI [https://www.letter.ai/] is the world's first unified revenue acceleration platform powered natively by generative AI. Our platform empowers sales teams at customers like Lenovo and Redpanda to ramp up faster with AI-powered training and coaching, instantly find and personalize collateral for customers, and engage their buyers with the industry's first AI Sales Room. We recently raised a $40M Series B led by Battery Ventures, with participation from existing investors including Y Combinator, Lightbank, Northwestern Mutual Future Ventures, Stage 2 Capital, and Formus. The round comes just four months after announcing our Series A, indicating a shift we're seeing in real time: revenue teams aren’t asking for more content or tools. They’re asking for better outcomes, and Letter AI is bringing those outcomes to life! We 10Xed our revenue last year and are looking for the best of the best in Chicago to join us on the adventure. The Role We are looking for a highly technical Data Engineer who possesses the analytical mindset of a Data Analyst. You must be as comfortable architecting real-time ingestion pipelines as you are building executive-facing dashboards. We need a hands-on builder who understands software engineering and can operate independently without heavy engineering support. The ideal candidate is someone who doesn't just "move" data, but understands the "why" behind it. You will own the entire lifecycle of data at Letter AI—from raw ingestion out of S3 and other sources, to the complex cleanup and transformation within your data platform (Databricks/Snowflake), to the final visualization that drives business decisions. We need a technical powerhouse who ensures data is never a bottleneck. Your key responsibilities will include: * Full-Lifecycle Data Ingestion: Architect and manage robust pipelines to ingest data from diverse sources (S3, Salesforce, internal APIs) into a centralized platform like Databricks or Snowflake, ensuring all data is kept up to date in real-time. * Data Engineering & Cleanup: Once data is ingested, you will be responsible for the heavy lifting of cleaning, normalizing, and structuring messy datasets within Databricks to ensure high data integrity and performance. * End-to-End Analytics: Act as the primary Data Analyst for the GTM and Product teams. You will translate raw data into meaningful insights by building and maintaining sophisticated visualizations in Tableau or Power BI. * Independent Infrastructure: Set up and manage the data environment (Databricks, Integrations, etc.) from the ground up without needing constant support from the core software engineering team. * Transformation Layer: Use dbt and SQL to build a scalable transformation layer that serves as the "single source of truth" for the entire company. * Partnership: Work closely with leadership to define KPIs and then build the automated tracking systems to monitor them. Qualifications for the role include: * The Ideal Skillset: You are both a Data Engineer and an Analyst. You can write the Python code to scale an ingestion engine and the SQL to build a complex cohort analysis. * Strong understanding of software engineering principles; you should be comfortable working in a technical environment and solving "bottleneck" issues independently. * Experience setting up and managing modern cloud data platforms (Databricks, Snowflake, etc.) and ingesting data from cloud storage (S3). * Advanced proficiency in building automated, high-impact dashboards in Tableau or Power BI. * Expert-level SQL skills for data cleaning, transformation, and modeling (experience with dbt is a major plus). * Familiarity with Salesforce (SFDC) and GTM data structures. * Expertise in using AI tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate coding, debugging, and analysis. * 2-5 years of hands-on experience in a technical data role, preferably in a fast-paced startup environment. As a part of the team at this early stage, you will not only receive a competitive salary and benefits, but also an equity stake in the company. How We Operate At Letter AI, we want you to be unapologetically you while operating with our core principles in mind: * Customer-obsessed: Make your customers unreasonably happy and everything else will fall into place. * Ambitious yet practical: Set big goals, but stay grounded with disciplined execution and ruthless prioritization. * Direct yet kind: Never hold back from speaking your mind, but do so in a way that is kind to your colleagues. * Driven yet humble: Push for excellence and deliver fast, but keep your humility.  Join us on this exciting journey to build the world's next generational sales tech company. We look forward to hearing from you!