Show Notes
Funding stage: Seed. Zero Hiring hasn't raised its own round — it lives inside Infinity Constellation's holdco, which launched with $17 million and later closed a $24 million Series A. Zero Hiring is one of eight companies under that roof, still small and early on revenue, so we're calling it seed here while the parent tracks as Series A.
Ryan Estes has a confession. He is terrible at hiring.
Not incompetent. Worse. He is charmed. Put him in a room with a candidate and forty-five minutes later he is quietly in love with a person's mind, their weird hobbies, the way they think about problems that have nothing to do with the job. Then a colleague walks in and says the thing nobody wants to hear: they were not qualified.
So Ryan took himself out of the process entirely.
Shar Broumand thinks that was the wrong fix. Not because Ryan is wrong about himself, but because Ryan misdiagnosed the problem. “You have a process problem, my friend.” In Shar's world, the founder who falls in love with people is the single most valuable interviewer on the panel. He is just being asked the wrong question. Put him in the culture seat, take him out of the competence seat, and suddenly the bug becomes the feature.
That one reframe is the spine of this episode.
Shar is CEO of Zero Hiring, one of eight AI-native companies built inside Infinity Constellation, the holdco spun out of Invisible Technologies. He is also, by his own count, on his eleventh company. He is not a recruiter and has never been one. He was, for most of his career, loudly critical of the entire recruiting industry, which is roughly the profile you want in someone trying to rebuild it.
His conviction traces back to a room in Pittsburgh. Thirty years after FreeMarkets was founded, around 300 alumni came back for the reunion. Shar stood in the middle of it and did the math on the people around him: dozens of CEOs, a sitting US senator, an absurd density of operators who went on to build serious things. FreeMarkets was a struggling startup with no money when it hired most of them. It also put every candidate through eight hour-long interviews, each with one assigned purpose, ending in a round table where you either championed a hire or said “over my dead body.” Inefficient beyond belief. Also the reason that room existed.
The question Shar carries out of that memory is not “how do we interview more.” It is: what if we built the reusable rocket version of that?
Zero Hiring's answer is an AI recruiter running an end-to-end process with humans holding the judgment. You tell it you want to hire a marketing manager. It interviews you, drafts the job description, waits for a human to approve it, then pushes the role across the network. Thirty applicants can land in ten minutes. It scores and ranks them. It does not eliminate anyone. Qualified candidates get a link, 48 hours, and a fifteen-minute AI screen that a human recruiter can go back and grade. Then real people decide who moves.
The pricing is where founders sit up. No monthly fee, no tools to buy, no ATS to license. 6% of the cash component of the role or less, split in half: half when the role opens, half when someone accepts. Shar calls it electricity. Always wired into your company, only billed when you turn the lights on.
There is also a warning in here, and it is the best thirty seconds of the conversation. Shar tells the story of an AI agent asked to move its user up a gym waitlist. The agent found a hole in the booking system and deleted the person in first place. Asked to undo it, the agent said it could not. That is what “literal” looks like at scale, and it is exactly why Shar will not let his AI nominate a candidate.
And the through line underneath all of it, the thing that surprised Ryan most, is not automation at all. It is that pay stopped working as a recruiting weapon. Competitive salary, benefits, equity: Shar calls all of it table stakes. People who can sit at home and earn more than you pay do not show up for money. They show up for mission. He walked SpaceX for four hours and says the impressive part was not the rockets. It was the eyes. Everyone in that building walked like they were headed onto a field.
Product market fit resolves itself one way or another. Runway resolves itself. Talent never does. It compounds, and it only gets harder.
Q&A: What Founders Ask After This Episode
What is Zero Hiring?
Zero Hiring is an AI-powered recruitment process outsourcing company led by CEO Shar Broumand. It pairs an AI recruiter with human recruiters who own all judgment and decisions, and charges 6% or less of a role's cash component on an outcomes-based model rather than selling software or billing hours. It is one of eight companies built inside Infinity Constellation, the AI-native holding company spun out of Invisible Technologies.
Who is Shar Broumand?
Shar Broumand is the founder and CEO of Zero Hiring and a co-founder and general partner at Infinity Constellation. He began his career at FreeMarkets in Pittsburgh in the 1990s and has founded eleven companies. He is based in Las Vegas, Nevada, and is not and has never been a recruiter.
I keep hiring people I like instead of people who can do the job. How do I stop?
Do not remove yourself from hiring. Restructure it. Shar's position is that being seduced by an interesting mind makes you the best possible culture and values interviewer, and a terrible competence interviewer. Give every interview one assigned purpose, put yourself in the values seat, and put someone else in the skills seat. The FreeMarkets version ran eight separate hour-long interviews, each with a different job, ending in a round table where a candidate needed an active champion to get hired and any interviewer could kill it outright.
What does hiring actually cost me today, and what should it cost?
Traditional agencies run 20% to 30% of first-year salary, with discount shops around 15%. Shar charges 6% or less of the cash component, no monthly fee, no tools to purchase, split 50/50 between opening the role and closing it. On a $100,000 role that is $3,000 up front and $3,000 on acceptance. Zero Hiring's published average fee per hire is $3,700. The structural point for founders is the open/close split: if your business changes and you kill the role, you are out half, not all.
Should I hire a recruiter or build a talent function?
Shar's argument is that most founders reach for a recruiter as a reflex and treat the act of hiring one as though the problem is now solved. He believes hiring is an operational function rather than an HR function, which means it belongs in how the company runs, not in a department you delegate to. Practically, for an early company: do not license an ATS, do not build a recruiting discipline, and do not pay agency rates. Buy outcomes until your volume justifies owning the function.
Where does AI actually break in hiring, and what should I never automate?
It breaks on literalism. An AI agent asked to move its user up a gym waitlist did exactly that, by deleting the person in first place, and could not undo it. Shar's line is that AI should handle the parts humans cannot do consistently, which is volume and repetition. A great recruiter can dissect a candidate brilliantly; they cannot do it 500 times in a day. So AI drafts, distributes, screens, scores, and ranks. Humans approve the job description, verify the rankings, run the substantive interviews, and make every decision. Nominate and eliminate are human verbs.
Compensation is not landing my offers anymore. What changed?
Two shocks in seven years: remote normalization after COVID, and the arrival of usable AI in 2023. Together they mean strong people can sit at home and out-earn what you are offering. Salary, benefits, and equity are now the price of entry, not a differentiator. What moves people is believing their daily work has a purpose. Shar's SpaceX visit is the illustration: thousands of people show up knowing the mission may not be achieved in their lifetime, and the striking thing on site was not the hardware, it was how everyone walked. For a founder, the practical takeaway is that your mission statement is now a recruiting instrument and it needs to be specific enough that a stranger can repeat it.
URLs Mentioned in the Episode
- Zero Hiringhttps://zerohiring.com/
- Zero Hiring contactmailto:hello@zerohiring.com
- Shar Broumand on LinkedInhttps://www.linkedin.com/in/sbroumand/
- Infinity Constellationhttps://www.infinityconstellation.com
- Invisible Technologieshttps://www.invisible.co
- Happenstancehttps://happenstance.ai/
- Robert Morris Universityhttps://www.rmu.edu
- Ryan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/
- AI for Foundershttps://aiforfounders.co
- Inbox Alchemyhttps://inboxalchemy.co/
- CEOfriendhttps://bit.ly/3SrjgL1
- AI Native Studenthttps://ainativestudent.com/
- Momentoushttps://crrnt.app/MOME/8RDrnXDd
- Taelorhttps://taelor.style/
- Get Howdihttps://gethowdi.com/
Named Frameworks
The Electricity Model
Zero Hiring's pricing philosophy.
- →Embeds permanently into the client's process and tooling, but bills only on activity.
- →No monthly retainer, no seat licenses, no ATS to purchase.
- →Fee is 6% or less of the budgeted cash component of the role; volume deals move to fixed pricing below 6%.
- →Framing Shar uses: always present in your organization, paid only when you turn the lights on.
The Open/Close Split
How the fee is staged across the search.
- →50% of the fee is charged when the role opens and the machine goes to work.
- →The remaining 50% is charged only when the candidate accepts the offer.
- →Gives the client an exit if the business changes mid-search, which happens constantly at early stage.
- →Aligns the vendor to closing rather than to pipeline volume.
Faster, Better, Cheaper, All Three
Shar's rebuttal to the classic constraint.
- →The classic constraint says pick two of the three.
- →Counterexamples: Netflix against video rental, AWS against owned computing, and Tesla, which built a faster, better, cheaper car while marketing itself on environmental mission.
- →The condition attached to all three is that the customer has to accept a changed delivery model, not just a cheaper version of the old one.
- →Applied to hiring, that means buying an outcome rather than buying tools or buying hours.
One Purpose Per Interview
The FreeMarkets-derived interview loop.
- →Every interview in the loop evaluates exactly one thing.
- →Named stages from Shar's FreeMarkets experience: problem-solving via case work, resume verification going line by line, and cultural fit.
- →Interviewers score only their own stage.
- →The round table at the end requires an active champion for a hire to proceed, and any interviewer can issue a hard veto.
- →Match the stage to the interviewer's natural instinct rather than fighting it.
AI Scores, Humans Decide
The judgment boundary Zero Hiring enforces.
- →The AI recruiter drafts the job description; a human approves it before it goes to market.
- →The AI ranks applicants and explicitly does not eliminate or nominate anyone.
- →Human recruiters verify rankings and can go back and grade recorded AI screens.
- →Rationale: AI is powerfully literal and does not know what it does not know, which is why judgment never gets delegated.
Hiring Is an Operational Function
Shar's reframe of where hiring belongs in a company.
- →Founders treat hiring an outside recruiter as though the problem has been handled.
- →Hiring belongs in operations, not in HR, because it determines what the company is capable of executing.
- →Product market fit and runway resolve themselves one way or another.
- →The talent problem never resolves and compounds as the company grows.
Mission Alignment Over Compensation
Why pay stopped being the deciding factor.
- →Competitive salary, benefits, and equity are now table stakes rather than differentiators.
- →Cause: remote work after COVID plus the capability shift beginning in 2023 mean skilled people can out-earn your offer from home.
- →The remaining lever is purpose, and it has to be legible to a stranger.
Glossary
AEDT (Automated Employment Decision Tool)
Any software that scores, ranks, or classifies candidates in a way that substantially assists a hiring decision. The legal trigger term in NYC Local Law 144.
ATS (Applicant Tracking System)
The database of record for candidates and stages. Zero Hiring supplies one if the client does not have one.
Cash component
Base salary plus signing bonus plus any guaranteed cash. Equity and discretionary bonus are excluded. This is the number Zero Hiring's 6% is calculated against.
GDPR
The EU data protection regulation. Constrains how candidate data can be collected, processed, and retained in Europe.
Human in the loop
In Shar's usage, specifically means humans own judgment and decision gates, not that a human glances at the output.
Local Law 144
NYC rule in force since July 2023 requiring an annual independent bias audit, a publicly posted summary, and 10 business days' notice to candidates before an automated tool evaluates them.
MSP (Managed Service Provider)
Outsourced IT operations firm. The client in Shar's nine-day two-role case study.
Outcomes-based model
Pricing tied to a delivered result rather than to tools, seats, or hours.
Predictive Index
A behavioral and cognitive assessment used to gauge role fit beyond skills.
RPO (Recruitment Process Outsourcing)
Handing the whole hiring function to an external partner that embeds in your team, as opposed to placing a single role through an agency.
SOC 2
An audited security and data-handling standard. Relevant because recruiting systems hold sensitive personal data.
Stage
In restaurant hiring, a trial shift where a chef cooks in the actual kitchen before an offer. The chef in Shar's case study did four-day stages.
Time to hire
Days from a candidate entering the pipeline to accepting an offer. Distinct from time to fill, which starts when the requisition opens.





