Staff Engineer, Agents

About Moon Pay

Moon Pay is for builders with something to prove.

This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stable coins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia.

AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.

You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.

The bar is high. The pace is real. We're building for what's next, for humans and agents.

• Forbes' America's Best Startup Employers 2026 .
• 2nd in Crypto Services on Fortune's inaugural Crypto 100
• The Sunday Times Best Places to Work two years running

Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.

• United States
• Additional locations may be considered

Relocation available: Case by case

Work pattern:

• Remote, with opportunities to spend meaningful time working with the team in New York.

Pay Box is one of Moon Pay’s newest products. It enables people to transact directly through AI, connecting agents with payments, wallets and applications without requiring users to hand over their underlying credentials.

We launched Pay Box recently and saw strong initial traction. Now we’re building the next phase.

There are multiple major product tracks underway: expanding Pay Box across AI platforms, building peer-to-peer payment experiences, integrating with DeFi applications, growing our plugin ecosystem and significantly improving the end-to-end product experience.

We’re looking for an exceptional Staff Software Engineer to help own Pay Box and take it through this next stage.

You’ll work closely with our Chief Engineer and a small, highly focused team. This is much closer to a founding engineer role than a traditional Staff engineering position. You’ll be expected to identify what matters, reason through difficult problems, make decisions and take areas of the product from idea through to production.

That could mean designing and building an entirely new Pay Box capability one week and obsessing over the details of an onboarding flow the next. We care equally about ambitious technical problems and the less glamorous work required to make a product great.

We’re not looking for a specific technology or domain background. You don’t need previous crypto or MCP experience. We’re looking for an exceptional generalist engineer who can learn quickly, think independently, build end-to-end and deeply cares about what they ship.

• Own significant areas of Pay Box end-to-end, from identifying the problem and defining the approach through to building, shipping and iterating in production.
• Help take a recently launched product through its next phase of 0→1 development and growth.
• Build new payment and peer-to-peer transfer experiences designed for AI interfaces.
• Build integrations across AI platforms, applications and the wider Pay Box ecosystem.
• Help develop the infrastructure and product experiences required to bring new applications and integrations onto Pay Box.
• Work closely with Product to turn ambitious ideas into simple, usable experiences.
• Sweat the details of the Pay Box experience — particularly onboarding and UX — and fix the friction that prevents users from successfully using the product.
• Reason from first principles about difficult technical and product problems, making pragmatic decisions…