Is the problem finding a strong candidate — or finding one who wants the job?

OpenAI has been looking for a new chief communications officer since Hannah Wong left in January 2026.

Fortune reports that Uber's Jill Hazelbaker, one of OpenAI's top choices, turned the role down. After internal recruiters hit a wall, OpenAI enlisted executive search firm Daversa Partners.

OpenAI told Fortune that finding the right person matters more than rushing the hire.

Qualified candidates and movable candidates are not the same market

A company can identify executives with the right title, experience and track record and still have a very small hireable market.

The practical market is closer to Qualified + Interested + Movable. Senior executives already have compensation, influence, relationships, location constraints and future options.

Sources in Fortune's report said the pool of people both qualified and willing to take on such a high-pressure, high-profile role is relatively small.

OpenAI is not only searching harder — it is reconsidering the role

As the search has continued, OpenAI has also wrestled with the seniority and reporting structure of the CCO role.

Fortune reports that questions include whether the CCO should report directly to President Greg Brockman or sit further down the chain under a future chief marketing officer.

That makes the search a role-design problem as well as a candidate-search problem.

Unfilled Role ≠ No Talent

A long vacancy does not prove that qualified talent does not exist.

The hiring funnel can be separated into Talent Availability → Discoverability → Mobility → Role Attractiveness → Decision Conversion.

Every failure produces the same visible result — an open role — but each bottleneck requires a different intervention.

Market feedback can be as valuable as a candidate list

If multiple strong candidates reject a role for similar reasons, those reactions become a Talent Market Signal.

Reporting line, decision rights, compensation, location, mandate and reputation risk can all matter at senior levels.

An executive search firm can therefore create value not only by identifying people, but by returning repeated market feedback to the company.

Role → Market → Candidate Reaction → Role Recalibration

The simple model is Role → Search → Candidate → Hire. Difficult executive search is often iterative.

The company takes a mandate to market, observes candidate reactions, adjusts seniority, reporting, compensation or scope when needed, and goes back to market.

Public reporting does not establish that Daversa directly caused OpenAI's role redesign. It does show that the role structure remains under discussion as the search continues.

BANSEOG VIEW | Executive search can validate the mandate itself

OpenAI's long search does not mean the company is incapable of hiring. It says it is unwilling to rush the appointment and wants the right person.

But the sequence is instructive: top candidate declines → internal search stalls → external search firm enters → role structure remains in flux.

The key question is not only 'how many candidates did we find?' but 'why should the candidate we want choose this role?'

Sometimes the market has the talent, but the role has not yet achieved enough Role–Market Fit.

BANSEOG VIEW

Banseog View — Search Mandate Validation

Qualified talent and movable talent are different markets.

A persistent vacancy can reflect Role–Market Fit rather than lack of talent.

Executive search can feed candidate-market reactions back into role design.

SOURCES

Primary sources and references

The exact reason Jill Hazelbaker declined has not been publicly confirmed. Possible explanations discussed by sources are not presented as established facts. Public reporting also does not establish that Daversa directly recommended OpenAI's role redesign. 'Unfilled Role ≠ No Talent', 'Search Mandate Validation' and 'Role–Market Fit' are Banseog analytical frames.