1 month ago
Responsibilities
- Own Reducto’s core data systems, orchestration, transformation workflows, and evolving data architecture.
- Build and maintain production data pipelines integrating product usage, sales, and finance data.
- Model raw data into clean, documented, trusted tables for company-wide use.
- Own data reliability standards, including tests, freshness checks, lineage, and data ownership.
- Partner with Engineering, Finance, Operations, and go-to-market teams on business metrics and data priorities.
- Balance foundational architecture work with urgent business needs as the initial data hire.
- Use AI tools to accelerate development while maintaining a reliable data foundation.
Requirements
- 5+ years of data engineering experience.
- Strong command of SQL, Python, dbt, and a cloud warehouse such as Snowflake.
- Experience building and owning end-to-end production data pipelines.
- Ability to design scalable data systems and foundational architecture.
- Ability to work directly with functional leaders, clarify ambiguous requests, explain data systems, and negotiate priorities and tradeoffs.
- High standards for quality, precision, and first-principles problem solving.
- Preferred experience as a first or founding data hire.
- Preferred experience with usage-based pricing, consumption models, or product-led-growth and sales-assisted funnels.
- Preferred hands-on experience with Fivetran, Dagster, or Airflow.
- Interest in AI-assisted development, analytics, early-stage companies, or high-growth startups.
Benefits
- Unlimited PTO.
- Free daily lunch in the office.
- Commuter reimbursement.
- Medical, dental, and vision insurance.
- Health and wellness budget of up to $150 per month.
- Flexible parental leave scheduling.
- In-person role based in the San Francisco office.
Tech Stack
Categories
Data Engineering
About Reducto
Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We currently power the best AI teams ranging from startups to Fortune 10 companies across all industries: legal, finance, healthcare, and more. We are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.