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Senior Fullstack Engineer

Floret -
New York, NY

Quick Apply

Job Details

Full-time
$125,000 - $175,000 a year

Qualifications

Data model design
Accounting systems
Systems integration
Software engineering
Data Integration (Data management)
Financial data reconciliation
Front-end component design
Engineering development testing
Automation
Data modeling projects
5 years
Improving system uptime or availability
Front-end state management
Direct client contact
System design
NetSuite
Scalable systems
Demand forecasting analysis
Data Architecture Design (Architecture design skills)
Production systems
Collaboration with product development teams
Data analytics demand planning
Financial records management
Decision making
Financial record maintenance
Implementing APIs
OCR
QuickBooks
Data analytics
Design usability

Full Job Description

Floret is building an AI-enabled system of record for CPG brands.

Retailers and distributors send brands millions of dollars in deductions every year. Most companies still manage this process through spreadsheets, email threads, and disconnected systems. Floret automates the entire workflow, ingesting retailer data, categorizing deductions, and syncing clean financial records to ERPs such as NetSuite and QuickBooks.

We're a small, profitable SaaS company serving some of the fastest-growing brands in food and beverage. Our product sits at the intersection of finance, operations, and sales, and we're building the first truly modern platform for this category.

The Role

We're looking for a Senior Fullstack Engineer who can take broad ownership across the Floret platform. You'll work across the full stack, from backend systems that process financial data to the frontend interfaces customers use every day, and you'll have a meaningful voice in how we build and evolve our systems.

This is a hands-on, high-ownership role. You'll own features end-to-end, contribute to architectural decisions, and help raise the technical bar across the team.

What You'll Do

Build and own features across the stack

Design and build backend systems for data ingestion, processing, and reconciliation
Build APIs and services that power core workflows
Build frontend interfaces for financial workflows, dashboards, and 3rd party integrations

Drive system quality and architecture

Contribute to architectural decisions on both the backend and frontend
Improve reliability, performance, and observability across the system
Establish patterns and practices that hold up as the team and codebase grow

Work with complex financial data

Build systems that handle large volumes of structured and unstructured data
Implement matching, reconciliation, and categorization logic
Keep financial records accurate and auditable

Ship AI-powered features

Build and integrate systems that automate categorization and help users resolve deductions
Apply sound judgment about where AI adds value versus where it introduces risk

Collaborate across product and engineering

Partner with product and design to turn ideas into scalable implementations
Contribute to code review and technical decision-making
Work directly with customers to understand problems and iterate on solutions

What We're Looking For

Experience

5+ years of professional software engineering experience
Track record of shipping production features end-to-end on real products
Has made meaningful technical decisions and owned their outcomes
Background in SaaS or data-heavy products preferred

Technical skills

Strong backend experience: APIs, data modeling, system design
Strong frontend experience: modern JS frameworks (Vue preferred), component architecture, state management
Solid testing practices across unit, integration, and end-to-end
Comfortable working with messy, high-volume real-world data

Product mindset

Builds for users, not just specs
Can simplify complex systems into usable products
Makes sound tradeoffs under time pressure and with incomplete information

We're especially interested in engineers who actively use AI coding tools as part of how they work and who have used them to ship better or faster.

Bonus Points

Experience with accounting software such as QuickBooks or NetSuite
Background in document parsing or OCR data normalization
Shipped AI-native features to production
Experience with forecasting, demand planning, or promotion analytics, particularly modeling promotion lift or building systems that help brands understand trade performance

Quick Apply

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