Confido is a next-generation financial automation and intelligence platform that helps fast-growing CPG brands operate and scale more efficiently.

Confido is building an AI-native operating system for brands that sell into brick-and-mortar retail. We’re building intuitive and powerful software paired with AI agents that help brands automate the 1000s of hours of tedious manual work that goes into scaling a brand in retail. Brands like Tropicana and Olipop use our first products in accounting and planning to account for and plan for $Bs of retail revenue.

We have millions of ARR, best-in-class growth, and recently raised an unannounced Series A.

The Role

Location: New York, NY (relocation assistance available)

Compensation: $170,000 and $200,000 + Benefits + Meaningful Equity (.2% - .4%).

As a full-stack engineer at Confido, you will spearhead the development of new features and systems from the ground up. This role offers the unique opportunity to shape the product landscape and make a tangible impact on our technology and our customers.

You may be working on

• AI (computer vision + NLP) powered data processing of financial documents
• Scaling data collection capabilities across different sources
• Financial analytics and forecasting
• Interfacing directly with customers to understand their needs and craft intuitive UXs
• Create intuitive user interfaces that simplify complex data into actionable insights
• And more…

Requirements

(1) Strong technical background with 2+ years of full-time engineering experience (Backend or ML /AI experience highly preferred)

(2) Scrappiness and interest in learning the ins and outs of the CPG industry

Preferred qualifications

(1) Excellent communication skills with the ability to talk directly with customers and manage feature development

(2) Strong desire to work at an early-stage startup and touch all parts of the product

(3) CS or equivalent degree

Confido develops in: Ruby on Rails for our back-end, TypeScript React for the front-end, and Python for ML services and R&D analysis. We also use a variety of cloud/serverless services including AWS Textract, Lambda, S3, SES, Postgres, Porter K8s, and Render.