Modern POS for Liquor Stores
About the Role
As a full-stack engineer, you will scale Santé from 100 to 5,000 stores with a disciplined approach to testing and building reliable, predictable systems. We’re looking for a hungry engineer who wants to make an impact from day 1 and experience what PMF feels like. You will be working in-person in our NYC office.
About Santé
We are the all-in-one POS system for liquor stores. We bring modern technologies like AI agents, OCR, and fintech to an industry stuck in 1980 to make life 100x easier for liquor store owners. We’re growing 26% MoM with a 95% retention rate. With overwhelming demand and clarity on what needs to get done, we can reach $100M+ within a few years.
You Will
Create robust checkout and payment flows across both in-store and online channels
Build data pipelines for processing data needed to power AI agents
Implement CI/CD pipelines for reliable deployment
Develop internal tools to scale customer onboarding and support
Create and maintain a strong engineering culture dedicated to shipping quality work Preferences
1+ year of experience building B2B SaaS (preferably fintech, payments)
Developed products that support thousands of users
Significant experience with cloud-based applications (AWS RDS Aurora, Lambda, Snowflake, SQS, S3)
Implemented efficient CI/CD pipelines for automated payments testing (we use GitHub Actions)
Significant web app experience, preferably within Node.js (we use Typescript and Next.js with tRPC) Compensation & Benefits
$120K - $150K
Equity (0.1% - 0.5%)
Health insurance
401k This is an in-person role in NYC. Our office is in Manhattan and our compensation packages are based on a wide array of factors unique to you, including your skill set, years of experience, etc.
Interview Process
You will help build a full-feature modern POS system. You will have a hand in everything from talking to customers, prioritizing features, and hiring. As we grow the team, you will have opportunities to explore a wide range of technical and managerial roles.
Interview Process
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