Systems Engineer
Location: Onsite, NYC Compensation: $75,000- 85,000 yearly Frank Darling designs custom engagement rings, and our software platform makes the operational complexity of that business work at scale.
Business Systems Engineer
Location: Onsite, NYC Compensation: $75,000- 85,000 yearly
Frank Darling designs custom engagement rings, and our software platform makes the operational complexity of that business work at scale.
A single diamond can be available from a supplier, listed on our website, shown to a client, reserved for an appointment, priced into a ring, or routed into production—and every system needs to agree on what is true. Our goal is to keep inventory, pricing, orders, and internal workflows accurate, reliable, and easy for teams to use.
We’re looking for an engineer who enjoys working at the intersection of software, operations, and business process. You should be comfortable with ambiguity, good at translating messy real-world workflows into maintainable systems, and confident making thoughtful judgment calls when there isn’t a perfect answer. You’ll work closely with non-technical stakeholders, so strong communication and documentation matter as much as the code itself.
We value autonomy, practical engineering, clear ownership, and systems that keep working long after they ship.
What You’ll Do
As a Business Systems Engineer, you will help build and operate the systems that connect our e-commerce, inventory, sales, client care, production, and gemology workflows. You’ll work on supplier data pipelines, Shopify integrations, pricing logic, internal tools, event-driven automations, and AI-assisted workflows that support teams across the company.
Some of the systems you’ll help build and maintain include:
Inventory pipelines importing hundreds of thousands of records from dozens of suppliers
Shopify integrations and order orchestration
Internal tools used across Sales, Client Care, Production, and Gemology
Pricing engines and business rules that drive our catalog
Event-driven workflows running on AWS
AI-assisted automation and internal tooling
Monitoring and operational tooling that keeps the platform healthy
Data integrations between SaaS platforms, internal systems, and production workflows
You’ll spend as much time understanding the business as you do writing code.
How You’ll Know You’ll Like This Job
This role is probably a good fit if:
You enjoy turning conversations into software.
You ask “why?” before you ask “how?”
You’re comfortable with ambiguity. Business problems rarely arrive as complete requirements, and you’re excited to untangle them.
You enjoy making thoughtful judgment calls. There usually isn’t one “correct” solution—just tradeoffs.
You’re technology-agnostic. Whether the right answer is Python, SQL, an AWS Lambda, an automation, or changing the business process itself, your goal is solving the problem well.
You believe documentation is part of engineering.
Posted July 25, 2026