Laura O'Reilly

The Researcher's Eye

O'Reilly did not set out for talent acquisition. She came from the creative side and was weighing what came next when a friend at an executive search firm made an observation that turned into a career. Her personality asked a lot of questions. She liked digging, looking into things, finding out more. The firm needed researchers.

That entry point shaped everything after it. Before she ever ran a requisition, she learned to identify and segment talent markets from scratch: map the companies that produce the profile, then work out where those people actually surface. It is the discipline that separates a recruiter who waits for applicants from a leader who can tell an executive team precisely where the supply is and what it will cost to reach it. Twenty years on, she still describes the work with the enthusiasm of someone who found the right puzzle early.

Rewiring Revenue Hiring at Snapchat

The defining stretch of her career came when she owned talent for the entire revenue organization at Snapchat, a global mass hiring mandate with the sharpest possible edge: every empty seat was unrealized revenue. O'Reilly diagnosed the bottleneck as process rather than pipeline. Sales hiring, she argued, could be streamlined much the way technical hiring already had been, with a defined track rather than a bespoke journey for every manager's opening.

The idea was not immediately welcome. She was met with real aversion from revenue leaders who did not want their roles standardized, and she has no interest in pretending otherwise. So she took it up the chain and made the business case in business terms: empty seats, revenue to fill, a more streamlined global function as the fix. The program that followed increased hiring metrics tenfold, went global, and was then adopted by other non-technical practices across Snap's organization. Few talent leaders can point to a process they designed becoming the company standard. O'Reilly can.

The Leaders Who Backed Her

Asked who shaped her, she names Chris Smutney, effectively the right hand to Snapchat's CRO and, unofficially, a chief of staff operating at a far more elevated altitude than the title suggests. He is, in her words, "the most supportive executive leader that I've ever had in my life." He took her proposal seriously when it was still an argument, used his command of business operations to secure buy-in, and stayed with her through the build. He also became her standing sounding board on the questions that actually mattered: were they hitting revenue goals, and which headcount decisions were going to move that number. She calls him the most collaborative leader she has ever worked with.

She credits Peter Naylor, the president she pitched alongside Smutney and who later went on to Netflix, for standing by her when the plan was unpopular. And she is quick to point outward as well as up: Lauren Babek, a former Snapchat colleague now at Instacart after a stint at DoorDash, is the first name she offers when the subject is outstanding talent leadership. "She's brilliant," O'Reilly says, twice, without hesitation.

Running an AI-Forward Function

At G-P, an HR tech company with an AI product, O'Reilly has an unusual vantage point on the technology reshaping her profession: she uses what her own company builds. GIA, the firm's AI capability, has stripped out a large share of her team's manual output. Contract generation is automated. AI agents are in testing, and one has been triggered to run the first flow so that recruiter call capacity stops being the bottleneck it has always been. Dashboards and sharper data segmentation now give C-level executives clear, visible transparency into what talent is delivering today and what it expects to deliver next.

She is candid about what that has meant operationally. Automation allowed her to run a team 30 percent leaner while raising its strategic ceiling, and she frames the shift as a change in what leadership is measured on. The old interview question for a talent executive was how many recruiters do you manage and how big is your team. "It's not going to be about that anymore," she says. "It's going to be about how lean can you be and how are you able to do so with automation and AI." The payoff, in her telling, is human rather than mechanical: offload the manual burden, uplift the existing workforce, and spend the reclaimed hours on strategy and candidate experience.

Her curiosity has not cooled. She has piloted an outside vendor's AI recruiting agent, is actively evaluating additional tools, and describes herself as genuinely excited to learn new tech. Her company, she notes, is very AI forward and open to integrating tools beyond its own.

Play, Experiment, Don't Be Scared

Her advice to other talent leaders is direct. "Don't be scared of it, embrace it. It won't take your job away, it'll change it." She believes the honest conversation, including the one about leaner teams, has to be paired with the reframe that AI is a skills upgrade rather than a threat, and that leaders owe their people that clarity. She practices what she preaches at home too: her daughter, a college marketing major, is being encouraged to pick up cloud coursework on her own.

For the hesitant, she prescribes low stakes momentum. Run pilots. Test in house. Play with the tools. "This is where we get to have fun," she says of the experimental stage, and she means it as a description of the job at its best. Be creative, stay on top of the tools, and let the machines take the mundane so the humans can do the interesting part. Coming from someone who once found talent by reading conference attendee lists line by line, it lands as earned rather than fashionable.