From Finding a Company to Finding Work That Fits You
A vision for career moves in which AI organizes the information and people spend their time talking to the employers and candidates with the strongest mutual fit.

When people think about changing jobs, many picture a familiar process: find a company they want to join and submit an application.
Some people still make a move because they feel strongly about working for one particular company. Across the market, however, I believe this company-name-first approach is becoming less common than it once was.
One reason is the sheer amount of job information now available. Job boards, company career pages, recruitment agencies, social media, and scouting services offer an enormous range of opportunities.
More choice is good for job seekers. But an abundance of choice creates a new problem.
How do I know which job actually fits me best?
Are job seekers really looking for a company name?
What do people considering a career move really want?
Compensation. The work itself. Location. Flexibility. Career growth. A place where their experience and skills matter. The chance to try something new. Culture. Long-term potential.
Priorities differ, but most of these things are not company names.
If someone can do meaningful work, exercise real ownership, and use their abilities fully, they may choose a startup over a large corporation. The belief that joining the biggest company is always the safest choice has changed.
So perhaps a career move does not need to begin with the question, “Which company do I want to join?”
It may be more natural to clarify what you can do, what you want to do next, and the conditions under which you want to work—and then find the role and employer that fit those priorities best.
No one can compare every opportunity
There is one major obstacle: there are simply too many openings.
It is not realistic for one person to compare hundreds or thousands of roles in detail. Each one means reading the description, checking compensation and required experience, researching the company, and comparing all of it with your own background.
Repeating that process dozens or hundreds of times is a significant burden. A person may finish their search without ever discovering a role that would have suited them exceptionally well. That is a major lost opportunity.
What if everyone had an agent?
I sometimes think about how professional athletes change teams. Major League Baseball players, for example, have agents.
A player does not personally investigate every team in the world, compare every term, and conduct every negotiation. An agent understands the player’s ability, market value, and preferences, then finds suitable teams and supports the negotiations.
What if an ordinary career move could work in much the same way?
Imagine having an agent that understands your experience, abilities, skills, preferred work, and compensation—and searches a vast market for roles that fit. It could respond to company questions using information you had already provided and objectively analyze both your market value and your fit with an employer.
You could then focus your own attention on conversations with the companies that genuinely match you. AI is making this kind of career search increasingly realistic.
ZipUpp aims beyond making applications faster
ZipUpp is not intended to be merely an easier way to create a résumé.
AI can understand a Candidate’s experience, skills, abilities, and preferences. It can also analyze the experience, capabilities, responsibilities, and hiring conditions a Company requires.
By comparing both sides, it can help answer a more meaningful question: is this person genuinely well suited to this work? The aim is to compare the substance of the Candidate and the role—not to match them simply because a company is famous or an offer looks vaguely attractive.
AI is not there to take hiring decisions away from people.
Its value is in organizing and comparing large amounts of information so people can focus on communicating with the people they truly need to evaluate.
Companies face the same problem
This is not only a problem for job seekers. Companies also read large numbers of résumés, compare Candidates, and conduct interviews in search of the right person.
Recruiters have limited time. Their goal is not to speak with 100 Candidates; it is to find the people who truly fit the Company.
If AI can compare the needs of both sides and identify the strongest potential matches, Companies can spend more time communicating with promising Candidates.
This is more than a reduction in recruiting costs. It can also reduce mismatch after hiring. If someone joins but leaves a few months later because the Company or work is not right for them, both sides suffer a substantial loss.
Hiring is not only about companies choosing people
In the future, it will not be enough for Companies alone to evaluate Candidates. Candidates are evaluating Companies too.
A Company asks whether a person is who it needs. A Candidate asks whether this is a Company where they want to work. Hiring is therefore a two-way match.
A result that satisfies only one side will not be a good hire in the long term. The goal is to find the overlap: a person who is right for the Company and a Company that is right for the person—and to identify it as early as possible in the hiring process.
From applying widely to talking with the right companies
Traditional job searches spend a great deal of time on repeated tasks: find an opening, apply, send a résumé, answer questions, interview, and repeat the same process with another company.
As AI takes on the organization, comparison, and appropriate reuse of information, people can spend their time differently.
Job seekers can focus on meaningful conversations with a few well-suited Companies instead of applying to 100. Companies can focus on promising Candidates instead of mechanically screening 100 people.
AI organizes the information; people make the judgments only people can make. I believe this will become one of the defining forms of recruitment and career mobility.
An AI agent for everyone’s career
Personal agents may no longer be limited to elite athletes and executives.
Each job seeker could have an AI agent that understands their experience, abilities, and goals. Each Company could have AI that understands the people it genuinely needs.
After organizing an enormous amount of information, those agents could bring the two sides to a useful starting point: this person and this Company are worth a conversation.
People still have the final conversation, make the judgment, and decide. AI reduces the enormous amount of waste that comes before that moment, creating better encounters with less effort for both Candidates and Companies.
It is a shift from finding a company and applying to finding work that fits you.
That is the new form of career mobility and hiring ZipUpp is working to create.