Confido (YC S21) automates the expensive work of retrieving and analyzing CPG accounting data so that fast-growing CPG brands can track and optimize their spend. In 2024, it shouldn’t take 100+ hours of human labor for Mr. Beast’s Feastables (one of our customers) to determine how many millions were spent on in store promotions last quarter; and whether or not that money was well spent. To solve these problems, we’ve built an all-in-one solution that deeply integrates with ERPs and other accounting systems, scrapes financial data from retailers and distributors, and leverages modern AI to analyze financial documents.

Today, we work with 50+ fast-growing brands, processing $3b+ in revenue. We have raised $3.6M from leading investors.

Our team has deep industry experience from Anheuser-Busch and SimpleMills, and engineering experience from Google, Square, HubSpot, and ThoughtSpot.

The Role

Location: New York, NY (relocation assistance available)

Compensation: $140,000 and $180,000 + Benefits + Meaningful Equity (.7% - 1.1%).

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 4+ 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