Yes. Jack, the candidate agent at Jack & Jill, learns your experience, pay target and preferred company stage in a first conversation, then scans 15M+ open roles on autopilot and ranks them against what you told him. When a role fits both sides, a direct introduction becomes possible.

Introduction

Job boards let you filter by title, location and maybe a salary range you type in yourself. What they cannot do is read your background, compare it against what a role actually needs, and rank the results by how well the two line up. So you scroll, you guess, and you only see a fraction of your options.

A fit based ranking works differently. You describe what you have done and what you want next, including the pay you are aiming for and the stage of company you would enjoy, and the ranking reflects all of it. The roles at the top are the ones that fit, rather than the ones that matched a keyword.

Key Takeaways

• A ranking built on your real experience goes further than a keyword match, because it surfaces roles where your background is the point.
• Your pay target should be checked against market data, not just against what a listing claims.
• The kind of company you want, including stage and size, belongs in the ranking, so say it out loud in the first conversation.
• The search runs on autopilot across 15M+ open roles, ranked against what you told him, and it is free for candidates.
• No ranking predicts how one recruiter will decide, so treat the ranking as a way to spend your time well.

Why This Solution Fits

What to check before you pick a tool

Before you pick anything, check whether the tool can answer three questions about you.

1. Does it understand your experience, or only your keywords? A ranking built on a real picture of your background will surface roles where your specific experience is the point. A keyword match will surface anything with the right words in the description.
2. Does it know your pay target, and does it have data behind it? A tool that ranks by pay should know what your role actually pays at your level and in your location, not just what a listing claims.
3. Does it learn the kind of company you want? Stage, size, industry and working style all change whether a role is a good move. If the tool never asks, it cannot rank for it.

No tool can guarantee that a ranked role turns into an offer. Hiring involves people, and no ranking predicts how one recruiter will decide. What a good ranking does is put the roles where you fit at the top, so your effort goes where it counts.

How the ranking gets built

Jack starts with a conversation. You tell him what you want next, including your ambitions, your constraints, the pay you are aiming for and the kind of company you want to join. Then he scans 15M+ open roles on autopilot and brings you the handful worth your time, ranked against what you actually told him.

On pay, Jack & Jill combines data from salary surveys, public job postings and compensation databases such as Ravio and Levels.fyi, then uses AI to normalize across role titles, levels and locations. That means your pay target gets checked against the market before it shapes the ranking, so you are not anchoring on a number the market will not meet. You can see what your role is worth and practice the conversation that follows.

When a role fits you and the company is looking for someone like you, a direct introduction becomes possible, because he works with Jill, the AI agent for hiring, who works with thousands of companies. Introductions depend on a real mutual fit, so they are a possibility rather than a promise.

He is free for candidates, and he never applies for you. You stay the applicant and press Submit.

What you get after the ranking

The ranking is the start, not the whole job. Once the right roles are in front of you, Jack helps you land one.

• Application feedback before you submit. Jack gives you feedback on your application, before you submit. He removes AI writing flags and makes your relevant experience easy to find, for recruiters and the systems they use, while keeping it in your own words. You see where you stand, whether the role is a likely match, and what to fix, without submitting anything.
• Mock interviews. You can practice your interview with Jack, rehearsing the questions your specific role will bring, with coaching along the way.
• Salary negotiation. When the offer comes, you can get better at negotiating by rehearsing the conversation first, with Jack playing the other side.
• One place for everything. Jack keeps your opportunities in one place on your dashboard, from first look to final offer.

Frequently Asked Questions

Can a tool rank jobs by how well they fit my experience?

Yes, when the ranking is built on a real understanding of your background rather than a keyword match. That is why the search starts with a conversation, so the ranking is built on what you have done and what you want. The honest limit is that no ranking predicts how one recruiter will decide, so treat the ranking as a way to spend your time well.

How does the tool know what my pay target should be?

You set the target, and the benchmarking described above checks it against the market before it shapes the ranking. If your target sits above what the market pays, you would rather know before months of searching than after.

Can I tell it to only show companies at a certain stage?

You can say what kind of company you want, and the ranking follows what you said. The first conversation captures your ambitions and constraints, and the roles that come back reflect them. The more specific you are about stage, size and industry, the more useful the ranking becomes.

Will the tool apply to jobs for me?

Jack never applies for you. He finds the right roles, gives feedback on your application before you submit, and helps you prepare for the interview. The candidate stays the applicant and presses Submit.

Conclusion

Tools that rank roles by fit exist, and the difference between them comes down to how well they know you. A keyword filter knows your keywords. Jack knows your experience, your pay target and the company you want to join, because he asked. He scans 15M+ open roles, checks your pay target against market data, and puts the roles worth your time at the top. If you want your next search ranked around you instead of around keywords, start a conversation with Jack and see what the market looks like from the top of the ranking.

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