Gamal Aly
Wealth.com
“Focus on the business outcome and work backwards from it. As long as you know where you want to go, it is very straightforward to build out the systems, people and processes you need.”
Gamal Aly has been named to the Talent 100, Class of 2026, the annual award recognizing up to 100 leaders in each category of talent acquisition. Honorees are nominated by peers or found by committees that look for excellent work wherever it happens, then chosen for the depth of their craft and their impact on hiring. This is Gamal's story.
Gamal Aly was selling computer parts at Staples, with his resume sitting on monster.com, when an agency reached out about a recruiting job he had never once considered. That was 2005. Two decades later he is a Lead Recruiter at Wealth.com, an estate and tax planning technology company of roughly 136 people, where he is building the talent function from zero to one.
The company is about six years old and recently closed a new funding round. Its culture runs on experimentation, and it is AI native in a literal, budgeted sense: something on the order of $15,000 a month in AI credits available to anyone willing to put them to work. For a recruiter who builds his own tools, that is less a perk than a workshop.
The through line across every stop is not a specialty. It is appetite. "You cannot do anything in this industry if you are not learning constantly," Gamal said, and his career reads less like a ladder than a series of deliberate curriculum changes.
Top Biller, Then a Hard Left Turn
The agency years were good to him. Gamal spent a long stretch in agency recruiting, building a book of clients and landing, by his own account, as the top biller at every shop he worked in. Then he made what he describes as a very intentional change: out of agency life and into internal talent, where the scoreboard is not placements but the company you help construct.
He started in-house at Contino as a senior talent acquisition and talent brand specialist, an experience he still counts among his favorites, and he remains friends with nearly everyone from it. From there he became Talent Lead at OkCupid, part of Match Group, which came with a private joke he is happy to tell. Years before he ever worked under that corporate roof, he had met his wife through match.com.
The next move was a build. As Head of Talent and People at Fi, the smart dog collar company, he stood up both functions from the ground up. He then spent a little over four years as Manager, Talent Acquisition at Earnest, from 2022 to mid 2026, the stretch that sharpened him on reporting, executive rigor and the mechanics of a full people system.
The Lessons He Kept
The people who shaped him register as lessons rather than titles. A former head of talent at Earnest, who came in as a consultant, gave him the operational and reporting spine of the job along with a durable obsession with talent density and quality. A former boss at Match Group, the person who hired him, pushed that same thinking wider, into how an entire people system interconnects. That question, how the pieces fit together, is the one Gamal keeps returning to.
His most recent manager at Earnest taught him to make data tell a story, a discipline he now treats as non-negotiable. Whether the audience is an executive team or someone on the ground level, the numbers have to land in language that audience actually needs. A former boss now serving as a CFO taught him finance, of all things, and remains a close friend. And a former boss at Earnest taught him rigor at the executive level: how decisions actually get made, and the difference between managing stakeholders and partnering with them.
"There is always a big turning point where I learn something I never really knew about before," Gamal said of the pattern. Every other company or so, he notes, something cracks open. The list of people responsible runs far longer than the handful he lists.
An Early Adopter Who Kept Going
Gamal was inside ChatGPT during the closed beta in late 2022, and he never really stopped playing. Today he works mostly in Claude, with Gemini and Perplexity in rotation, and he wires his data sources together through MCP so reporting largely assembles itself. He remembers the alternative clearly. A decade ago manual reporting was a drag; now the constraint is imagination rather than hours.
What he uses it for is the thing he cares about most: signal. How candidates present themselves in a hiring process. How long employees stay. Whether a net promoter score is dipping or climbing. Whether the values a company claims are the values it is actually hiring for. Deep analysis of that data, he argues, is how an organization learns whether its choices point in the right direction or whether it is time to pivot, because the best companies are built on the right talent density and AI makes that far easier to uncover. Surveys and manual work still have their place.
He is clear-eyed about the other edge. Hiring and people work have grown more complex precisely because there is now an AI element in everything, and diagnosing what a given signal means is genuinely harder. Are people learning? Are they communicating? Sometimes, he notes, you cannot tell whether you are dealing with a person or a bot. There is a good way to use this technology and a nefarious one, and both are in play.
TestGrid, Built Out of Frustration
Like most recruiters and hiring leaders, Gamal has been burned by fraudulent candidates. Unlike most, he built a response. He vibe coded a proof of concept, then rebuilt it by hand in Python, JavaScript and TypeScript, producing a platform he calls TestGrid.
TestGrid scans live audio and video during a hiring session, reading kinesics and body language alongside what a person says and how they behave, then assigns a risk score to the active meeting: an indication of whether the exchange looks AI assisted or like a genuine human one. The purpose is integrity of process, giving hiring teams a defensible read instead of a hunch. The provisional patent has gone through, the trademark is in progress, and he has drawn a ten-year roadmap for where the product could go.
For now it stays a hobby, though a long-haul one. "It has probably been my shining moment," Gamal said. "It has been really fun to build."
Advice for the Year Ahead
For talent leaders heading into the year ahead, Gamal's counsel is to start at the end. Work backwards from the business outcome, because everything else, the headcount plan, the strategy, the understanding of P&L, falls into place once the destination is fixed. Build in the other direction and you get a function that hires software engineers or AI engineers in isolation, technically productive and strategically stranded.
It took him a while to get there. When he did, he describes it as a light bulb moment, the kind that unlocks the rest of the job. It is also the operating principle behind the build he is running now: understand where the company is going, then construct the systems, people and processes that get it there.
The Talent 100 exists to celebrate the people shaping the future of how the world hires, and few embody that better than Gamal. We are honored to welcome Gamal Aly to the Talent 100, Class of 2026, and grateful for the experience, perspective, and craft they bring to this community. Congratulations, Gamal. Welcome to the Talent 100.
About the Talent 100
The Talent 100 is an annual list spotlighting the leaders who push HR and talent acquisition forward, organized by Noon AI. Honorees are selected through peer nominations and independent selection committees. Selection is entirely merit-based, with no fees or pay-to-play requirements.