Treasury Manager

The Treasury team is responsible for protecting liquidity, enabling scale, maintaining strong controls, and helping the company operate with clarity and resilience. We work across finance and operational partners to ensure funds move safely, visibility remains high, and Treasury infrastructure keeps pace with a fast-moving business. As hands-on operators and builders, we combine financial judgment with AI, automation, and data to solve problems faster, strengthen controls, and continuously improve how Treasury operates.

About the Role

We’re looking for a Treasury Manager to help build the systems, workflows, and controls that allow Treasury to scale. This role combines hands-on treasury operations ownership with process design, automation, and technology-enabled execution across cash visibility, payments, bank account management, forecasting support, controls, reporting, and operational readiness.

The role will identify manual pain points, define process requirements, improve data quality and cross-functional handoffs, build AI-native workflows, and create repeatable operating rhythms that reduce key-person dependency while preserving strong human oversight.

This is not a pure execution role. While the role will support daily treasury operations, its core mandate is to improve how the work gets done: better workflows, cleaner source data, stronger controls, faster exception detection, more scalable reporting, and more effective use of technology to support Treasury as a whole.

In this role, you will:

• Own core treasury operations across cash positioning, payments, bank account management, portal administration, forecasting support, close, and FBAR preparation.

• Build scalable workflows and automation for request intake, approvals, payment tracking, bank account changes, KYC follow-up, access reviews, evidence collection, and issue resolution.

• Translate recurring treasury processes into clear requirements for tools, dashboards, trackers, AI workflows, and system improvements.

• Identify manual pain points, duplicate work, control gaps, data-quality issues, and key-person risk, then design process or technology improvements to address them.