Theresa Bui Makes New Technology Mean Something

A career in translation

Theresa Bui found marketing by behaving like a good researcher. She began her career as a financial analyst, then spent months conducting informational interviews with people in other fields. She was not collecting contacts for the sake of having contacts. She was testing possible futures. One of the people she interviewed was a startup founder, who responded to her curiosity with a job offer. The analyst became a marketer.

It is an origin story with little ceremony and a great deal of method. Ask specific questions. Listen for the work behind the title. Move when the evidence becomes persuasive. Across more than two decades in technology, Bui has kept returning to that sequence. The products grew more technical, the acronyms multiplied, and the audiences became global. Her central assignment remained remarkably stable: make a difficult thing intelligible enough that somebody can decide what to do with it.

Today, Bui is chief marketing officer at SymphonyAI, the Palo Alto company building artificial-intelligence applications for retail, financial services, manufacturing, enterprise IT, and media. She leads global marketing across go-to-market strategy, product marketing, analyst relations, and integrated programs. The portfolio is broad. Her message is pointed: enterprise AI should be judged by the work it performs, not the fluency of its demo.

“The opportunity isn't waiting for better AI technology. The opportunity is deploying AI technology that already works.”Theresa Bui, 2025

The family meaning of a network

There is another kind of translation in Bui’s life, and it carries more weight than a product launch. Her father had been an architect and professor in Vietnam. He designed national landmarks, including the National Library of Vietnam, where a plaque honors him. After immigrating to the United States following the fall of Saigon, he struggled to resume the career he had already earned.

The missing credential was not printed on a diploma. It was access. “He didn’t know the system, the lingo - he had no one to help guide him,” Bui has said. His experience gave her a close view of how talent can be obscured by unfamiliar rules, absent introductions, and the quiet assumptions built into professional life. An accomplished person can arrive in a new country and suddenly appear, to the system, as a blank page.

That memory informs Bui’s work as volunteer CMO of Wevise, a nonprofit serving first-generation students, career switchers, and underrepresented people seeking a foothold in technology. She does not treat the nonprofit as a side project in need of softer standards. “I think of Wevise as a startup nonprofit,” she said. The early job was familiar: define what the organization stands for, decide whom it is trying to reach, and find the language that can carry the mission to them.

First, give the problem a name

Bui’s corporate career repeatedly placed her near technologies that needed a vocabulary before they could have a market. At Palamida, which she co-founded, the concern was what lived inside a company’s own software. Businesses were rapidly mixing proprietary and open-source code, often without a reliable inventory of the components, licenses, or vulnerabilities involved. Palamida built tools to examine that mixture. In 2008, Bui described the young company as helping customers manage open source and its intellectual-property implications. Today, the software industry commonly speaks of software supply chains and bills of materials. At the time, the category still needed explaining.

Palamida made it through early venture rounds and eventually an acquisition. Bui also learned the less photogenic parts of startup life. She has spoken of experiencing successful acquisitions and chaotic failed exits. A career in emerging technology is rarely a neat succession of upward arrows. It is closer to a series of provisional maps, some accurate, some obsolete by lunch.

After Palamida came senior marketing work at Limelight Networks, then Jasper and Cisco Jasper. The Internet of Things was a phrase large enough to contain cars, vending machines, factory equipment, and a suspicious quantity of conference lanyards. Bui’s job was to explain the connective tissue. In 2017, Cisco Jasper’s platform was adding roughly 1.5 million devices a month. She stressed that hardware and applications could do very little without connectivity, and that customers were struggling to move from pilot projects to large deployments.

That pilot-to-production problem followed her into AI. So did the habit of translating a technical architecture into a business consequence. At Conviva, where she became vice president of product marketing in 2022, she wrote about the distance between system metrics and the experience of an actual user. A slow network request mattered differently when it delayed a login, reduced viewing time, or cost advertising revenue. The useful metric was the one connected to a human action and a commercial outcome.

AI leaves the stage and clocks in

At SymphonyAI, Bui argues that general-purpose AI often arrives at an enterprise without the context required to be useful. A bank has regulatory obligations and audit trails. A grocer thinks in assortments, shelves, promotions, and inventory. A factory has plants, lines, components, maintenance windows, and tolerances. A generic model may be clever, but cleverness is expensive if the customer must first teach it the nouns, rules, and exceptions of the business.

Her preferred phrase is “vertical AI”: agents, models, knowledge graphs, and workflows prepared for a particular industry. The marketing case has three parts. The system begins with shared context, chooses the appropriate kind of model for each step, and records decisions so that a person can review what happened. The argument is less about a magical intelligence than about competent coordination.

Consider the example she gives of a worn part on a bottling line. One agent detects the condition. Another checks whether a replacement is in stock. A third creates a work order. A fourth finds room in the production schedule. The plant manager receives a prepared action in Microsoft Teams and retains oversight. The charm, if enterprise software is permitted charm, lies in the disappearance of four separate errands.

Bui has also made a quantitative case. In 2025, she wrote about an analysis of 83 operating deployments across retail, financial services, manufacturing, and enterprise IT. Extrapolated conservatively to similar organizations, SymphonyAI estimated $344 billion in annual economic impact. The number is arresting, but Bui’s sharper point sits beneath it: the cases involved systems already processing real data and producing measured results. Her recurring contrast is production versus projection.

Launch energy, shared purpose

Colleagues who have recommended Bui publicly describe a rare comfort on both sides of product marketing. She can work inward, shaping product strategy and advocating for the customer, and outward, speaking and writing with energy. They also mention humour. This is not incidental. Technology marketing can become a solemn recital of abstractions. A sense of humour is often evidence that the speaker still remembers another person is in the room.

At Wevise’s Chicago TechPath Alliance event in June 2025, Bui recognized the old sensations of a product debut. “Like any launch, it was messy and scary - we didn’t know if we could pull it off. But we did.” What stayed with her was not a flawless run of show. It was hearing early stories from mentors and mentees, and seeing Bevin Joseph describe technology bootcamps for young Black men held in barbershops. Bui called the idea “absolutely genius.” It made access local, familiar, and social.

The two halves of her current work might appear far apart. SymphonyAI sells complex software to large organizations. Wevise helps individuals enter an industry whose doors are not equally visible. Yet both ask the questions Bui first used on herself during those months of informational interviews. What is the real obstacle? Which language makes it easier to see? Who has the context? What is the next credible action?

Bui lives in the San Francisco Bay Area with her partner and two children. Away from work, she travels enough to have lost count of the countries, and jokes that her children may have more passport stamps than most adults. It is a fitting hobby for someone professionally occupied with crossing boundaries: from code to commerce, from novelty to routine, from credentials to opportunity.

The technology industry rewards the invention of new words. Bui’s career suggests the more durable craft is deciding which words earn their keep. Open-source compliance. Connected operations. Real-user experience. Vertical AI. The names matter when they clarify a problem, gather the right people around it, and lead to work that can be observed in the world. Otherwise, they are merely very expensive nouns.