Sandeep Sood
Amazon Web Services
“Recruiters are seeing the value of AI, and they are becoming very creative in how they want to use AI to their advantage.”
Sandeep Sood 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 Sandeep's story.
Sandeep Sood moved to the United States to sell technology solutions. The company that hired him happened to sell recruiting services to Fortune 500 customers, and because he was new to the country, his leadership made him a proposition: learn the recruiting side first, then go client facing. Within a year, he had stopped asking about the sales job.
What he had discovered was that recruiting, done properly, was the same discipline he had trained for as an engineer and a pre-sales professional: understand exactly what the customer needs, understand exactly what is available, and close the gap between them. Today, at Amazon Web Services, he leads recruiting teams through the most disruptive technology shift the profession has seen, and he does it with the instincts of someone who has sat on both sides of the requisition.
The Engineer Who Became a Matchmaker
Before recruiting, Sood held a pre-sales role with a company in the Middle East, based in Dubai, and the plan when he relocated was to continue in solutions architecture and solution sales. The detour into recruiting was meant to be temporary, a way to learn the product before selling it to Fortune 500 accounts.
It stuck for a reason he can name precisely. "I liked what I was doing in recruiting, which was understanding what my customers were looking for, what the candidates had," he says. "And I became a good matchmaker." So he went back to his leadership with an unusual request: he wanted to stay. His engineering background gave him credibility with technical hiring managers, his pre-sales background gave him the language of the deal, and recruiting sat exactly where the two overlapped. He has been building on that intersection ever since, through Microsoft and then through Amazon and AWS.
Two Years Into AI, Not One
When the conversation turns to artificial intelligence, Sood pushes back gently on the premise that this is a story about the last twelve months. His team began working with the internal AI platforms Amazon was building roughly two years ago. What changed in the past year is scale and payoff, as the tooling matured enough to genuinely accelerate the work.
The applications he describes run the length of the funnel. When applicants apply, or when recruiters identify candidates to approach, they can see how strong a fit that person is against the specific requisition. AI handles the first pass of matchmaking. Outreach is curated rather than templated. Interview prep, which used to be a single standard message about what to do and what not to do, sent identically to every candidate, is now built around the individual: their skills, their performance in earlier stages of the process, a narrative tailored to them. Recruiters use internal chatbots as assistants for the questions they would once have taken to a colleague, and they have grown inventive about the rest, from LinkedIn posts to day to day workflow. The result, Sood says, is that his teams do more with fewer people and he delivers more hires.
The Case for Patience
His advice to other talent acquisition leaders is not about tools. It is about expectations. Senior leadership, in his experience, wants to see return on AI investment quickly, and that pressure collides with an inconvenient truth: in the short term, AI can add work rather than remove it.
The reason is quality. A generic prep message required no verification. A customized, AI generated one requires a recruiter to check that nothing has been hallucinated, that nothing controversial or off message has crept in. "They still have to do the human audit," Sood says. That audit takes time, and it does not show up in a dashboard the week it is introduced. What it does show up in, eventually, is candidate quality, prep quality and improving funnel metrics. So his counsel to peers is straightforward: have some patience with adoption, and with ROI, because the teams that rush past the human check will pay for it later in exactly the metrics they were trying to move.
Recruiters Who Dial the Phone
For all his investment in automation and data, Sood's model of an excellent recruiter remains stubbornly human. He points to a former head of entertainment recruiting at Amazon, now a partner in talent acquisition at an executive search firm, as the embodiment of it: a networker and a connector of dots, a picture of what recruiting should be rather than what it often becomes. Recruiters, in Sood's view, are not email pushers. The best recruiters, he notes with evident approval, are the people who will pick up the phone and dial.
That is the through line of a career that began by accident and continued by choice. The engineer learned to sell. The salesperson learned to recruit. The recruiter learned to lead with empathy and argue with data. And now, as AI rewrites the mechanics of the job around him, the leader he has become is the one insisting that speed without a human standing behind it is not progress at all.
The Talent 100 exists to celebrate the people shaping the future of how the world hires, and few embody that better than Sandeep. We are honored to welcome Sandeep Sood to the Talent 100, Class of 2026, and grateful for the experience, perspective, and craft they bring to this community. Congratulations, Sandeep. 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.
