Jack and Jill AI

Jack and Jill AI is a San Francisco-based recruitment platform that raised $20M in October 2025 and shipped to general availability in 2026. The product splits the hiring market into two AI agents: Jack works for candidates, and Jill works for employers, and they negotiate through the platform rather than forcing both sides through legacy applicant-tracking systems.

What Jack and Jill AI does:

• •Jack scans 14 million jobs daily Jack acts as the candidate's autonomous career agent, scanning every active listing across major job boards and direct company pages, then surfacing only roles that match the candidate's stated criteria.
• •Direct introductions to hiring managers Jack bypasses the standard applicant-tracking pipeline by introducing matched candidates directly to hiring managers, useful for senior and specialist roles where ATS keyword filtering loses strong applicants.
• •AI mock interviews with feedback run a mock interview with Jack, get specific feedback on story structure, clarity, and answers to the hard questions, helpful for candidates rebuilding interview skills after long tenure.
• •Salary benchmarking Jack pulls comp data for matched roles and gives candidates a defensible negotiation range before they enter offer conversations.
• •Hyper-personalised role matching the platform leans into startup and high-growth listings, where Jack's profile-building and conversational fit-screening produce genuinely tailored shortlists rather than mass mailers.
• •Jill builds employer role profiles Jill works with employers to understand the role, build a structured profile, and reach thousands of candidates simultaneously, reducing the manual sourcing time SDRs and recruiters spend on cold outreach.
• •Candidate elevation by fit Jill ranks candidates by role-fit signals rather than keyword matches, surfacing the strongest matches first instead of forcing recruiters through volume-driven filters.
• •Conversational candidate screening candidates respond to Jill in chat rather than filling out long ATS forms, which raises completion rates and gives employers richer screening signal at the top of the funnel.
• •Two-sided marketplace Jack and Jill operate inside a single platform, so successful matches close inside the product without back-and-forth between separate tools.
• •Web app and mobile-friendly experience the product runs in browser at jackandjill.ai and on macOS and Windows desktops, with a responsive web interface that works on phones for candidates checking matches on the go.

Pricing:

• •Candidates $0/month: Jack is permanently free for job seekers, with full access to job matching, mock interviews, salary benchmarking, and hiring-manager introductions.
• •Employers 10% of first-year salary per successful hire: no upfront cost, no monthly subscription, and no platform fees -- employers only pay when Jill produces a candidate they actually hire.
• •Referral programme up to $2,000/one-time: candidates and employers can earn referral payouts for bringing new users onto the platform, layered on top of the success-fee model.

Limitations:

• •Success-fee pricing favours senior roles 10% of first-year salary is competitive against traditional contingent recruiters for $100k+ engineering or sales hires, but expensive for high-volume entry-level hiring where flat-fee or subscription tools are cheaper per seat.
• •Best results require a strong candidate profile Jack's matching and hiring-manager introductions hinge on a detailed conversational profile, so candidates who skim profile-setup get weaker matches than those who invest 30+ minutes upfront.
• •Limited geographic depth outside the US 2026 coverage is strongest for US-based roles and less developed for European, APAC, and emerging-market hiring, so non-US candidates and employers see thinner match volume.
• •No public API Jack and Jill AI does not expose a developer API for HR-tech integrations, so existing ATS and HRIS stacks (Greenhouse, Lever, Workday) cannot pipe data in or out programmatically.
• •Newer brand and shorter track record with general availability in 2026 and the $20M Series A in late 2025, employers used to legacy ATS workflows are still in early-adopter mode and benchmarks against Greenhouse or Lever are limited.