OpenAI is staffing the reseller and vendor-management layers of a mature advertising business five months after running its first ads. Digiday reported on 28 July 2026 that two job postings on OpenAI's careers page show the shape of the plan: a head of scaled ads solutions who will design the reseller model from scratch, and a global vendor manager for ads who will operate it. Neither posting is a sales job, and that is the tell.
The two roles Digiday found on OpenAI's careers page
Digiday's 28 July report identifies two openings. The head of scaled ads solutions will design OpenAI's reseller model from scratch: picking priority vendors and markets, running RFPs, handling contracting, and managing partners against commercial and quality standards. That role reports to the VP of global ads solutions and sits above a global vendor manager, ads, whose job is to operationalise it through governance, forecasting, quality assurance and capacity planning across regions and partner sites.
Read together, the two descriptions are about infrastructure rather than headcount. Governance and capacity planning across partner sites are what a company builds when it expects third parties to sell and service its inventory in markets where it has no local team. Digiday's framing on pace is the striking part: Meta added this kind of specialisation over many years, and OpenAI's ad business is only five months old.
The hiring pattern behind the postings
OpenAI hired Meta veteran David Dugan to head global ads solutions in March 2026, along with Benji Shomair and a growing roster of former Meta ad executives, according to Digiday. Digiday also reports that OpenAI has been courting ad-tech vendors including Criteo, LiveRamp and StackAdapt while it hires internally.
Digiday reads the combination as a hybrid model rather than a Google-style global sales force: direct teams, resellers and outsourced partners running together, closer to what Netflix is building. Digiday notes the same structure would also support an ad-network-style product. Both the Netflix comparison and that product possibility are Digiday's analysis, not statements from OpenAI.
The revenue targets, and who actually claimed them
Digiday reports that Axios reported in April that OpenAI had an internal target of $2.5 billion in ad revenue for 2026 and $100 billion by 2030. These are reported internal targets relayed by Digiday, not figures OpenAI published. eMarketer forecasts that OpenAI will "fall roughly 90% short of that target", and eMarketer based that estimate only on the United States, currently OpenAI's largest ad market.
Nate Elliott, principal analyst for AI in marketing and commerce at eMarketer, told Digiday that "OpenAI's main interest is in building its ad revenue as big as possible, as quickly as possible" and that the company "has set itself an almost impossible target". Elliott added that the current approach may not be permanent, saying OpenAI "could lean on third-party sellers to drive faster growth in the short term and then reevaluate that decision a couple years down the line."
What advertisers are doing about it so far
Digiday reports that initial scepticism about ad load in ChatGPT has largely given way to growing demand as OpenAI expanded into more markets and rolled out its self-serve ads manager. The product remains a work in progress, and for now the emphasis is on proving the model with test budgets rather than moving significant media spend.
The roles and the reported numbers side by side
The table below keeps each claim next to whoever made it, because the roles come from job postings and the revenue figures do not come from OpenAI at all.
| Item | What it covers | Attribution |
|---|---|---|
| Head of scaled ads solutions | Designs the reseller model from scratch: priority vendors and markets, RFPs, contracting, partner management against commercial and quality standards. Reports to the VP of global ads solutions. | OpenAI job posting, via Digiday |
| Global vendor manager, ads | Governance, forecasting, quality assurance and capacity planning across regions and partner sites | OpenAI job posting, via Digiday |
| $2.5 billion ad revenue in 2026 | Reported internal target | Axios reported in April, relayed by Digiday |
| $100 billion ad revenue by 2030 | Reported internal target | Axios reported in April, relayed by Digiday |
| Roughly 90% short of that target | Forecast based only on the United States, OpenAI's largest ad market today | eMarketer, via Digiday |
What this means for marketers in Thailand
The signal in two job postings is that ChatGPT is heading toward being a durable ad-supported answer surface rather than an experiment that gets quietly shelved. If that holds, brand visibility inside AI answers splits into two disciplines with separate budgets and separate owners: earned citation work, which is what generative engine optimisation covers, and paid placement, which will be bought like any other media.
Timing is the part the reporting does not settle. Digiday's 28 July report does not say when or where self-serve access expands, and it makes no claim about availability in Thailand. eMarketer's decision to base its forecast on the United States alone is a reminder that OpenAI's ad revenue sits in one market today, whatever the 2030 target says.
The work that pays off under either outcome is the earned side. Being the source an assistant reaches for when someone asks about your category is a durable asset, and it stays valuable whether or not you later buy placement beside that answer. Auditing how your brand currently surfaces in ChatGPT answers is a cheaper starting point than waiting for a rate card.
Questions marketers are asking
Can I buy ads inside ChatGPT from Thailand today?
Digiday's report does not state which markets have self-serve access, so treat availability as unconfirmed. It says OpenAI has expanded into more markets and rolled out a self-serve ads manager without naming those markets, and eMarketer treats the United States as OpenAI's largest ad market at present.
Is OpenAI building a global sales force like Google's?
Not on Digiday's reading of the two postings. Digiday's analysis is that OpenAI appears to be designing a hybrid of direct teams, resellers and outsourced partners, closer to what Netflix is building than to Google. That interpretation belongs to Digiday, not to OpenAI.
Are the $2.5 billion and $100 billion figures official OpenAI numbers?
No. Digiday reports that Axios reported in April that these were OpenAI internal targets, for 2026 and 2030 respectively, so they reach the reader second-hand. eMarketer forecasts that OpenAI will "fall roughly 90% short of that target", based only on the United States.
Should I move budget into AI ad placements now?
There is no rate card or published market list to move budget against yet, and Digiday reports that advertiser activity is still at the test-budget stage rather than significant media spend. The defensible allocation today is to the earned side of AI visibility, with a small reserve for a test when placement opens in your markets. That allocation view is analysis, not a recommendation the source makes.
Job postings are a slower signal than a product launch and a more reliable one, because a company builds a vendor-governance function for revenue it expects to keep. If ChatGPT is going to be a place where your category gets answered, the citation work is worth starting while the paid side is still being staffed.
