# Staff Software Engineer, Data (AI) at Juniper Square

- Company: Juniper Square
- What the company does: 2,300+ private markets GPs rely on Juniper Square’s connected technology, unified data, fund administration expertise, and AI to raise capital more efficiently, streamline operations, and improve the LP experience. Backed by Felicis and Redpoint.
- Company website: https://www.junipersquare.com
- Type: Startups (AI role)
- Level: Senior
- Location: Americas (USA or Canada)
- Work setup: Remote
- Pay: $200K to $250K base salary per year (USD)
- Posted: 2026-08-17
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/junipersquare/c499f5d0-bc2f-47a6-8058-415d3cb4d2a3
- Page: https://www.1752.vc/careers/jobs/juniper-square-staff-software-engineer-data-ai/

## About the role

As a Staff Software Engineer, Data, you will own the design and hands-on delivery of the core pipeline components that make this platform work: schema mapping, data normalization, validation, enrichment, and distribution to downstream systems. You will write production code every day, make consequential architectural decisions, and help establish the technical standards and practices the broader team will build on as it scales.

## What they're looking for

- • 12+ years of software engineering experience, with demonstrated Staff-level technical scope and impact
- • A portfolio of shipped production systems - we will ask you to walk through specific technical decisions you personally made and code you personally wrote, this is not a role for someone whose primary contribution has been directing others
- • Strong hands-on experience with data pipeline or data warehouse engineering: schema design, ETL/ELT patterns, normalization, and API-based data distribution
- • Production experience building with LLMs: prompt design, model orchestration, evaluation, and output validation in real systems, not just experimentation
- • Fluency with AI-assisted and agentic development workflows, you use these tools daily and have strong opinions about how to use them effectively
- • Experience with AWS data infrastructure, Redshift experience a plus

Tags: Engineering