Jack & Jill announced a $40 million Series A round led by Air Street Capital on September 15, 2026, with backing from Madrona, Creandum and Entrepreneurs First. The London-based startup, formally operating as Tinker Tailor Talent Limited, has now pulled in $60 million total since a seed round that reportedly closed in recent months.
The pitch is unusual enough to warrant attention: Rather than building another recruiting tool for one side of the hiring equation, Jack & Jill deploys two distinct AI agents that sit on opposite ends of the table. Jack works with candidates. Jill works with employers. And the two only make an introduction when they both determine there's a match worth pursuing.
It's a model that sidesteps the traditional job application process entirely, which may explain why venture investors are paying attention in what has become a crowded market for AI recruiting tools.
Jack, the candidate-facing agent, conducts voice-based career coaching sessions, scans job postings at scale, and assists with interview prep and salary negotiations. Jill, meanwhile, works to understand what employers actually need beyond a job description—company culture, team dynamics, role nuances—and then recruits directly from Jack's pool when alignment looks strong. Candidates use the service for free. Employers pay a placement fee that scales with hiring volume; materials suggest the rate sits around 10 percent of first-year salary.
Matthew Wilson, who runs Jack & Jill as CEO, has relevant history here. He co-founded Omnipresent, an employer-of-record platform that Deel acquired in October 2025. His co-founder and CTO, Saaras Mehan, previously launched Kular through Y Combinator's Winter 2022 batch and competed internationally in chess for England—a detail that says something about pattern recognition, perhaps more than the founders expected.
The startup claims it has arranged 25,000 interviews to date and is now setting up roughly 5,000 more each month. More than 380,000 people across San Francisco, New York and London have engaged with Jack, while Jill has worked with over 5,000 companies spanning the U.S. and Europe. Named clients include Ramp, Attio, Multiverse, Corgi, Maze, Tavus and Fyxer AI—a mix that tilts heavily toward venture-backed tech companies, which tracks with where this kind of tool would gain traction first.

Jack & Jill launched in San Francisco earlier this year and expanded to New York shortly after. The team has grown to 29 people as of September 20, 2026, split between London and San Francisco, a relatively lean setup for a company that just closed a Series A of this size.
Wilson frames the product as correcting an imbalance. "Every company has someone paid to represent its interests in the job market, and people have never had the same," he said in materials accompanying the funding announcement. The framing positions Jack & Jill less as a recruiting platform and more as professional representation for workers, which is a clever repositioning in a labor market where job seekers increasingly feel overmatched by corporate HR infrastructure.
The company plans to use the capital to expand further across the United States and build toward what Wilson describes as a job market where both sides operate through agents. Whether that vision resonates beyond early adopters remains to be seen, but the funding environment suggests investors believe the thesis has legs.

The round arrives amid a surge of venture capital flowing into AI-powered hiring. Mercor, which uses AI for candidate screening, reportedly raised a $100 million Series B earlier this year at a $2 billion valuation. Juicebox, the company behind PeopleGPT, pulled in a $30 million Series A led by Sequoia Capital. Paraform, another agentic hiring platform, closed a $40 million round around the same time. The clustering of these deals suggests the category is being actively assembled by investors, even if the ultimate winners remain unclear.
"The next leap in hiring will not come from better searches over the same resumes or more automated outreach," said Nathan Benaich, general partner at Air Street Capital. "It will come from putting an agent on both sides of the table and making the introduction only when both sides would take the call."
That thesis only works if both agents prove they can operate with enough judgment to avoid wasting anyone's time. The company's traction—25,000 interviews arranged to date, roughly 5,000 more each month, 385,000 people engaged with Jack, and over 5,350 companies working with Jill—indicates early validation, but scaling judgment is harder than scaling technology. The company now has the capital to find out whether the model holds at volume.

