AI Operations Lead

Jeeves is building the financial operating system for global companies that refuse to move at the speed of traditional banks. We provide corporate credit lines, global credit and prepaid cards, stablecoin-powered payments, cross-border transfers, virtual cards (VCNs) for travel and procurement, and intelligent spend controls all within one unified platform. In markets like Mexico, we integrate directly with local tax authorities (SAT) to simplify compliance. Across regions, we combine global banking rails with stablecoin infrastructure to enable instant, borderless capital movement.

Our platform allows companies to access working capital, manage multi-entity operations, operate in multiple currencies, and gain real-time financial visibility whether they’re scaling across LATAM, expanding into the U.S., or operating globally from day one. Operating in 20+ countries and serving over 5,000 customers worldwide, Jeeves is redefining how modern companies access, deploy, and control capital across borders.

Since graduating from Y Combinator in 2020, Jeeves has raised over $380 million and is backed by leading global investors including Andreessen Horowitz, Y Combinator, CRV, Tencent, Stanford University, Clocktower Ventures, and founders of more than 15 unicorns, including David Vélez (Nubank), Carlos García (Kavak), and Sebastián Mejía (Rappi).Jeeves is where ambitious operators, builders, and innovators come to reshape the future of global financial infrastructure.

Overview
The AI Operations Lead will be responsible for increasing organizational leverage through the thoughtful design and implementation of agent-based automation across operational teams. This role sits at the intersection of business operations, systems thinking, and applied AI.
The position requires both strategic prioritization and hands-on implementation capability.

Key Responsibilities
Assess operational workflows across teams and identify high-impact automation opportunities.
Map end-to-end processes and determine appropriate automation architecture.
Design, build, and deploy AI agents that integrate with internal systems and external tools.
Evaluate and select AI platforms and automation tools aligned with business needs.
Establish standards for reliability, security, and performance of AI-enabled workflows.
Track impact and continuously iterate based on measurable efficiency gains.

What Success Looks Like
Core operational workflows are augmented or streamlined through reliable automation.
Teams experience measurable improvements in cycle time, throughput, and accuracy.
AI-enabled processes are adopted consistently across functions.
There is a clear, prioritized roadmap for operational automation.

Qualifications Required
2–3 years of experience implementing automation or AI-driven workflows in a business environment.
Hands-on experience designing and deploying agent-based solutions.
Strong understanding of APIs, system integrations, and workflow architecture.
Ability to translate business needs into technical solutions.
Structured project management skills and stakeholder alignment capability.

Preferred
Experience in fintech, payments, credit, or regulated environments.
Experience scaling automation within high-growth companies.