About the Role:

This is a hands-on operations role focused on running and sharpening the day to day operation. You will own the day-to-day execution of reconciliation and loss detection, resolve the issues that surface across both, and, just as importantly, make the work better every quarter by improving the process and automating the manual parts. You won't just run the machine; you'll use AI and data tooling to reshape how the machine runs. Over time you'll build an end-to-end understanding of how money flows through the Gusto product, from a transaction all the way to the financials.

If you want a seat where operational excellence, a builder's instinct for process, and genuine curiosity about how money moves all matter, this is it.

About the Team:

Payments are at the core of Gusto's business, and the Platform Operations team is the foundation of financial trust behind them. We safeguard customer funds and keep financial operations accurate, transparent, and scalable, sitting as the connective tissue between Engineering and Accounting/Finance. That means reconciling money movement, detecting and investigating losses, resolving exceptions as they come up, and continuously improving the processes and tooling that let us do all of it at scale.

Here’s what you’ll do day-to-day:

• Own reconciliation execution and exceptions research across customer cash and money movement, validating the accuracy of Gusto's financial data with internal and external partners.
• Monitor transactions to detect discrepancies, anomalies, and potential losses; investigate promptly and drive issues to resolution.
• Identify, escalate, track, and close individual payment related issues across reconciliation and loss domains, pulling in the right cross functional partners (Engineering, Accounting, Payments) to get each one resolved.
• Contribute to the accuracy and timeliness of financial close and reporting for the areas you own.
• Tighten the controls on the processes you own, whether manual or automated, and recommend enhancements that reduce risk and manual effort.
• Partner with Engineering to trace recurring breaks and losses to their source and resolve the underlying product or system gaps, rather than absorbing them downstream.
• Strengthen documentation so processes are durable, repeatable, and not person dependent.
• Use AI to automate manual, repetitive workflows, chaining multiple steps to move from raw data to finished output and measurably reduce the time your work takes.
• Share what you build so teammates can replicate it, raising the whole team's efficiency, not just your own.
• Spot the most manual, repetitive, and high volume work in your domain and prioritize it for automation, going after the biggest reductions in effort first.

Here’s what we're looking for:

• Bachelor's degree in Finance, Accounting, Business, or a related analytical field.
• 3-4 years in an operations, analyst, or similar role with a track record of high-quality, detail-heavy execution and strong ownership.
• Experience in payments, banking, fintech, or financial services / accounting operations.
• Familiarity with reconciliation, cash management, ACH/NACHA rules, or card networks.
• Exposure to regulatory or compliance requirements (e.g., MTL) relevant to a payments environment.
• Demonstrated use of AI to automate real, manual workflows, with specific examples of what you built, what it replaced, and the impact. You reach for AI to go from raw data to finished output, not just to draft an email.
• Strong analytical and data skills: proficient in spreadsheets, and either working in SQL today or a clear aptitude and eagerness to learn it quickly.
• Genuine curiosity about how money and financial systems connect. You want to understand the financial impact of your work and how the product behaves end to end.
• A process improvement instinct: you get uncomfortable running the same manual process twice and instinctively look for the fix.
• Strong written and verbal communication, with the ability to own outcomes with minimal oversight, know when to escalate, and work cross functionally with technical and finance partners alike.
• Comfort operating independently in a fast paced, ambiguous environment, confident standing up or reshaping a process rather than waiting for one to exist.

Our cash compensation range for this role is $82,610/yr to $99,132/yr in New York. Final offer amounts are determined by multiple factors, including candidate location, experience and expertise, and may vary from the amounts listed above.