Staff Software Engineer, Spend Management

Our Mission

For nearly 20 years, we’ve built the leading healthcare marketplace — helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more.

Fixing healthcare starts with fixing access to it. And we're still just getting started.

*Please note, we are open to remote candidates for this role.*

Your Impact on our Mission

As a Staff Software Engineer on the Spend Management team, you will be the technical anchor for the platform that gives healthcare practices the confidence and control to spend on the Zocdoc Marketplace. You'll lead the architecture and development of flexible, self-service spend controls — moving providers off manual, support-mediated budget administration and onto a product they manage directly, with full visibility into their spend and ROI. This is a money-moving system, so correctness, reliability, and trust are at the heart of everything we build.

Your Day to Day

• Full ownership of the technical strategy for the self-service spend management platform.
• Architecting and writing code for key roadmap initiatives — flexible budget controls, the Budget Settings experience, and cross-channel spend strategy.
• Building and fostering relationships with engineers on your team and partners in Product, Design, and Analytics to refine and execute the product vision.
• Safeguarding the accuracy and reliability of a system that moves money — spend tracking, budget enforcement, and the guardrails that keep them correct.
• Mentoring engineers through code reviews, design discussions, and 1:1 pairing.
• Working with cutting-edge GenAI tools and technology, with an eye toward future goals like spend recommendations and AI-assisted budget insights.

Qualifications

• Meaningful (2+ years) experience in .NET and AWS or equivalent cloud technology.
• Required: The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity.
• A fundamental understanding of building and scaling business-critical back-end services, with the front-end skills to make them usable.
• A bias toward correctness and reliability, with the instinct to build observability and guardrails into money-moving systems from the start.
• The mentality of an entrepreneur/owner and a strong bias to action.
• Superb communication skills and humility.