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# Staff Software Engineer

- **Company:** Confido Health Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Infrastructure, Software Engineering, Build Tools, Data Pipelines
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25303_092d0872dd0314b277e36b1ade326558

## About the Role

Required

 * 8+ years of software engineering experience; 2+ in a staff-level role
 * Strong systems design and architecture experience
 * Proven ability to build and scale complex production systems
 * Strong product instincts and ability to translate real-world workflows into software

Nice to Have

 * Experience working with AI/ML-powered systems
 * Experience with large-scale data pipelines or analytics infrastructure
 * Experience working directly with customers or cross-functional teams
 * Interest in early-stage startups and high-ownership roles
 * CS degree or equivalent experience

## Description

Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number.

We're trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.

If you want your work on shelves everywhere - and outsized ownership while you build - we'd love to meet you.

As a Staff Software Engineer, you will help architect and build the core systems that power the Confido platform. You'll lead the development of major product and infrastructure initiatives-from AI-powered document ingestion to large-scale financial analytics systems.

This role combines deep technical ownership with product impact, working closely with engineering, product, and customers to turn complex operational workflows into scalable software., * Lead the design and development of major platform and product systems

 * Architect scalable infrastructure for financial data processing and analytics
 * Build systems that ingest and process financial data across multiple sources
 * Develop AI-powered workflows for document ingestion and financial automation
 * Partner with product and leadership to shape technical strategy and roadmap
 * Mentor engineers and help raise the technical bar across the team

Example Problems

 * AI-powered ingestion of invoices, deductions, and retailer reports
 * Scaling data pipelines that ingest financial data from retailer systems
 * Building analytics infrastructure for forecasting and demand planning
 * Designing product experiences that simplify complex financial workflows
 * Improving performance, reliability, and scalability of core platform systems