The Builder's Bet: Inside Payoneer's quiet reinvention of HR for the AI era

A particular kind of confidence comes from running a P&L before you ever run a people function. John Davis, Chief People Officer at global fintech Payoneer, has it in spades — and it shapes almost everything he says about talent, technology, and the future of his own profession.

Speaking from Payoneer's newly consolidated Gurgaon office on his latest of "six or seven" trips to India, Davis doesn't sound like a CHRO reciting engagement scores. He sounds like an operator who happens to run HR now, because, in his telling, that is exactly what happened.

That biography underpins his central argument: HR's next great leaders may increasingly come from the business, not from within HR itself. "You don't acquire talent in a vacuum," he says. "You acquire talent to fulfill specific needs of the business."

Understanding how a company actually makes money, he argues, gives an HR leader something no amount of functional expertise can substitute for — context, credibility, and a bias toward measurable outcomes.

It's a pointed observation given how the conversation began: a growing number of CEOs, Davis notes, now see the CHRO seat as a legitimate stepping stone to the corner office — a shift he's noticed "increasingly" in recent years, even if he wonders whether he's simply living inside his own echo chamber.

His prescription for boards weighing succession is characteristically unsentimental: define the capabilities the business needs next, then pick whoever has them — "no matter what function they come from."

Payoneer's India story is the most concrete evidence of that operating mindset in action. A workforce that numbered "probably dozens" a few years ago, built up through the acquisition of Skuad, now sits at just under 500 employees and is on track to overtake China as the company's second-largest hub after Israel, out of roughly 2,500 full-time staff globally.

What began as a platform-and-technology play has since spread across the business. Compliance — arguably the most sensitive function inside a cross-border payments company — has planted a flag in Bangalore, anchored by the relocation of a senior compliance leader from Israel. Finance, banking, and HR itself are following. A new, consolidated Bangalore office opening in Q4 will fold together what were previously separate go-to-market and growth operations.

Davis is careful not to frame this as India outperforming other markets on readiness for AI or anything else. "I don't think India is worse off... or is better off," he says, describing talent quality as broadly comparable across Payoneer's global footprint — Israel included. What distinguishes India, in his account, is scale, pace, and what he calls "a hunger to own" — a drive among employees to take on ambiguous, high-stakes problems and be trusted with the outcome.

If there's a thesis running underneath the entire conversation, it's this: Payoneer deliberately chose not to panic.

Davis describes watching two hype cycles collide — an initial wave of AI-driven layoffs across the tech sector, followed by a "backlash" as companies discovered they weren't saving money after all, because savings on headcount were simply being redirected into compute spend.

Instead, the company rolled out Amplify, an internal AI training and enablement program, which reached 42% employee utilisation within two months of launch — a number Davis treats as proof of organic demand rather than mandated compliance. Software development moved first and fastest; customer and employee support followed with more turnkey tooling. 

Now, Payoneer is entering what Davis calls its third phase: full process redesign, starting with two of its most consequential workflows — KYC (Know Your Customer), which he describes as part of the company's competitive moat, and agentic sales.

Talent acquisition has undergone its own quiet transformation. Since adopting an agentic sourcing tool, Payoneer has screened more than 21,500 candidates, with roughly 59% of global hires now touched by the technology in some way — a level of leverage Davis calls "an enormous amount of previously manual effort" now handled by machines.

What he won't do is pretend the payoff has been clean. "It wasn't like this panacea that just all of a sudden our velocity of delivery increased significantly," he says of AI-assisted coding — progress in one part of the pipeline simply exposed bottlenecks elsewhere. It's a rare admission from a senior executive, and it lands as more credible for it.

Pressed on how he justifies AI investment to Payoneer's board — and to a CEO who has directly asked whether Amplify is "just going to drive up expense" — Davis doesn't pretend to have a clean answer. There is, he concedes, "a bit of a leap of faith" in the belief that broad AI literacy pays off even before specific use cases are proven. 

But he draws a clear line: as the company moves from training into full operating-model redesign, the bar rises. Speculative faith gives way to hard accountability for outcomes.

His board, he says, applies exactly that kind of pressure — pushing hard on AI adoption while accepting that returns play out over a longer horizon than a single quarter, alongside other long-cycle bets like Payoneer's push into stablecoin infrastructure under the U.S. Genius Act.

On measurement more broadly, Davis rejects the idea that HR's impact is inherently too soft to quantify. His preferred yardstick is blunt: labour productivity against labour cost, often expressed as profit generated per dollar of labour spend, tracked by function and job family.

For all the operational rigour, Davis keeps circling back to something less measurable: culture as an economic force. Toxic behaviour, he argues, destroys value in ways that are real but hard to trace on a spreadsheet — a demoralised, disengaged employee who quits is a cost the P&L never quite captures. The inverse is just as true: highly motivated people who are growing and building their careers will accept less pay and stay productive far longer.

That belief underpins how Payoneer manages its most sensitive cultural challenge — a genuinely global, cross-cultural workforce spanning Israel, India, China, and beyond. The company now runs structured training to help employees interpret behaviour across cultural contexts, rather than assuming their own norms are universal. More tellingly, cross-cultural communication and collaboration is written directly into Payoneer's leadership competency framework: it is, Davis says, a prerequisite for promotion to VP — not a soft skill on the side, but a hard gate.

If there's a single note that distinguishes this conversation from the standard AI-transformation talking points, it's Davis's comfort with not being first. "We may not be the first mover or the best AI adopter," he says, "but I think we're moving in the right direction." 

In a moment when many organisations are still, in his words, deploying AI "without even thinking" about what they're trying to achieve, that kind of deliberate patience — paired with a willingness to admit the bottlenecks, the unclear ROI, and the leaps of faith — reads less like caution for its own sake, and more like the instincts of someone who has sat on the other side of the P&L, and knows exactly what it costs to get it wrong.