Feb 12, 2026Company

Why I Joined Mercor – Luna Aizarani

Luna Aizarani
Luna AizaraniGeneral Manager, Growth

Luna Aizarani has spent her career within expert marketplaces. She joined Mercor as General Manager of Growth to build the systems that connect human expertise to opportunities at global scale.

I’ve spent over a decade operating on the frontlines of how organizations find and deploy talent, across labor marketplaces and talent intelligence platforms. As AI reshapes entire industries and accelerates economic change, I consistently encountered the same tension: the type of talent in demand was evolving faster than the systems designed to identify and deploy it. Highly capable people were underutilized, while organizations struggled to translate ambition into execution.

Across tech, private capital, and workforce development organizations, the same pattern repeated itself. Companies raced to deploy AI systems faster than their organizations could absorb them, while skilled experts sat on the sidelines or were misallocated. From where I sat, the issue wasn’t intelligence or motivation, it was infrastructure.

Throughout my career, I’ve worked as a commercial leader in high-growth environments. I spent years scaling revenue engines inside professional services organizations, managing global teams, owning P&Ls, and turning underperforming units into durable businesses. More recently, I worked in workforce development and partnerships, helping large institutions respond to rapid shifts in skills, automation, and AI literacy. I found the work meaningful, but I increasingly felt the impact was incremental relative to the scale of the change underway.

When I started talking to Mercor, it felt like someone had finally named the problem clearly and, more importantly, was already building practical solutions to address it.

The AI economy isn’t constrained by ideas; it’s constrained by execution. Models are only as good as the data that trains them, and that data increasingly depends on deep human expertise: engineers, researchers, and domain specialists who can reason, evaluate, and create at a high level. Mercor is the company that identifies real expertise, deploys it quickly, and operates globally. The shift from ad hoc sourcing to programmable talent is what makes the company so central to the future of the labor market. That framing immediately resonated with me.

In my role, I work directly inside that shift. I develop systems that expand access to expertise, connect the right talent to meaningful work, and make complex, human-heavy workflows repeatable. Over time, that responsibility has grown into owning the broader talent pipeline across the company, focusing on ensuring our talent network keeps pace with demand and that experts have a clear, supportive path to contribute. It’s part growth, part operations, part product thinking.

One of the most meaningful aspects of my job has been engaging with people whose expertise isn’t always captured by traditional credentials. I’ve spent time with athletes and coaches, for example, learning how their real-time decision-making, pattern recognition, and tactical judgment can inform how AI systems learn and improve. I’ve seen similar value from farmers, therapists, and sales managers - people whose knowledge compounds through lived experience in the field. We are creating pathways for expertise to shape the systems increasingly influencing how work gets done.

What surprised me most after joining Mercor wasn’t just the team’s ambition, but the rigor of execution. From my earliest conversations with the founders, it was clear that Mercor operates with unusually high standards, very little red tape and a strong culture of ownership. Within days of joining, I was responsible for addressing supply constraints across multiple workstreams, proposing structural fixes, and moving quickly from assessment to execution.

I’m excited about what’s next in my role at Mercor. This includes deepening strategic partnerships, making the expert experience more seamless, and continuing to adapt our systems alongside a rapidly changing labor market. As AI reshapes how work is created and distributed, the opportunity is to build infrastructure that works well for both partners and experts.

For those considering Mercor and feeling unsure, the work here tends to suit people who enjoy building, take real ownership, and are motivated by driving tangible results.

Explore careers at Mercor: www.mercor.com/careers