Senior Platform Operations Analyst

Gusto•San Francisco, NY

19h•Hybrid

About The Position

This is a senior, project-driven role. Where our analysts run and improve the day-to-day, you will build what comes next: standing up new reconciliation and control infrastructure, leading audit remediation, and scaling our operations to new products and entities. You will own cross-functional projects end to end, partner deeply with Engineering, Product, Accounting, and Finance to design and implement new systems and controls, and act as a subject-matter expert the team relies on to frame hard problems and drive them to resolution with minimal oversight. You will also raise the team around you: mentoring analysts, building the reusable AI workflows others adopt, and setting the standard for how the work gets done. If you want to build durable financial infrastructure in a regulated, high-stakes environment, and lead the projects that let Gusto operate at scale, this is the seat. 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.

Requirements

Bachelor's degree in Finance, Accounting, Business, or a related analytical field, or equivalent practical experience.
4-6 years in financial services, banking, fintech, payments, or accounting operations, ideally in a cash management or reconciliation heavy environment, including experience scaling reconciliation or operational processes to new products, entities, or geographies.
You've led cross-functional projects end to end with real independence, taking an ambiguous problem, framing it, getting the right people in the room, and driving it to a result, reporting progress to senior stakeholders and influencing Engineering, Product, Accounting, and Finance partners without direct authority.
Strong understanding of payment systems and money movement (e.g., ACH/NACHA, card networks, bank file formats like BAI2 or MT940), with experience designing or remediating controls and reconciliation processes that hold up to auditor scrutiny, including exposure to regulatory requirements (e.g., MTL, SOX-style controls) in a payments environment.
You think in systems and root causes. When something breaks repeatedly, you go upstream and fix the source rather than absorbing the pain, using strong SQL and data skills to dig into complex, ambiguous data sets and turn patterns and anomalies into insight rather than just output.
Demonstrated use of AI to build durable, reusable automations and workflows that others can use, not just personal productivity wins, with specific examples of what you built and the impact.
Strong written and verbal communication, including navigating difficult conversations with cross-functional partners and presenting confidently to senior audiences.

Responsibilities

Design, stand up, and scale new reconciliation and control infrastructure across products and entities, including transaction categorization and the controls that support them.
Lead audit remediation workstreams, partnering with external auditors and internal Accounting and Controls to design controls that hold up to scrutiny.
Own cross-functional projects and act as the escalation point for complex reconciliation and loss issues that cross team boundaries, framing problems, defining success metrics, pulling in the right partners, driving to resolution, and reporting progress to senior stakeholders.
Partner with Engineering and Product to spec, build, and measure the systems and tooling that make reconciliation and loss detection scalable, tracing recurring breaks to their root cause and closing the underlying gaps.
Build reusable AI workflows, templates, and standards that make the whole Operations team faster, and up-level analysts through mentorship, training, and durable documentation, becoming the go-to person for applying AI to the work.