Founding Data Engineer

As Reducto's Founding Data Engineer, you'll build our data infrastructure from the ground up. You'll own the entire data stack, from the systems data lives in, to the pipelines that move it. You'll make the foundational architecture decisions for how our data capability evolves. You'll turn that foundation into a trusted source of truth the whole company runs on, answering the questions that actually move the business, from usage and unit economics to our growth funnel. Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. This is an in-person role based in our San Francisco office.

Responsibilities

Own core data systems (including Snowflake, Postgres, Clickhouse, and various data lakes), orchestration, transformation, and set the direction for how the stack evolves; Build and own the pipelines that unify product usage, sales, and finance data across APIs, webhooks, and third-party systems; Model raw data into clean, documented tables the whole company can query with confidence; Own the reliability of data and set standards for it, including tests, freshness checks, lineage, and clear ownership of what "correct" means; Partner with Eng on usage data, and with Finance, Ops, and GTM on the metrics behind the business; Use AI to build faster and keep the foundation clean enough for AI tooling to run reliably on top of it

Requirements

5+ years of experience in data engineering; Strong command of SQL, Python, and dbt; Experience with a cloud warehouse like Snowflake; Have built and owned data pipelines in production, end to end; Hold a high bar for quality and precision, and build from first principles; Think in systems and design foundations that hold up as the company scales; Can work directly with functional leaders by turning vague requests into clear deliverables, explaining how the data works, and negotiating priorities and tradeoffs; Comfortable as the only data hire, balancing foundational architecture against urgent business needs

Nice to have

Have been the first or founding data hire somewhere before; Know usage-based pricing, consumption models, or PLG-plus-sales-assisted funnels firsthand; Have hands-on experience with modern ETL and orchestration tools like Fivetran, Dagster, or Airflow; Are deeply AI-forward and reach for AI to build faster; Enjoy analytics and answering business questions; Have experience at an early-stage or high-growth startup

Benefits

Unlimited PTO; Daily Lunch with teammates in the office; Commuter Reimbursement covering transportation costs; Comprehensive Insurance including medical, dental, and vision; Health and Wellness Budget of up to $150 per month for wellness spending such as gym memberships or fitness classes; Parental Leave with flexible scheduling