Data Product Engineer

Job overview

The Data Product Engineer role is in person preferred in San Francisco, CA. Compensation is not specified. The client is building an AI-native platform for insurance profit-and-loss teams to turn fragmented external data into trusted signals for AI agents and users. As an early engineering hire, the role builds the data infrastructure and product layer that powers the platform. It connects customer needs and external data sources to reliable pipelines, usable product surfaces, and evaluation systems that help ensure accurate, trusted agent responses.

What you'll do

• Work with customers to identify high-value insurance data use cases and relevant external sources
• build and maintain end-to-end pipelines for ingestion, extraction, synthesis, and transformation
• turn legal, financial, company, and insurance records into production signals
• expose data through product surfaces for users and AI agents
• build systems that support accurate agent answers
• create evaluation harnesses for data quality and agent reliability
• and partner with founders, customers, and technical teams to shape product direction.

What we're looking for

Skills & competencies

data product engineer

san francisco ca

nxt level

full-time

data engineering

data products

ai agents

insurance data

data pipelines

data quality

evaluation systems

customer discovery

founding engineer

Work arrangement

• Weekend coverage required

Why this role

Founding-engineer opportunity at a seed-stage company; 5–8 years of relevant experience sought; in-person work in San Francisco is preferred.

About the employer

NxT Level is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.