The customer has already explained the problem twice. Marketing knows what she clicked. Sales knows what she bought. Support knows what broke. Unfortunately, these departments are behaving like three strangers who met in an elevator. Mika Yamamoto has spent much of her career trying to introduce them.
Her newest attempt comes with an unusually explicit title. In June 2026, Veeam appointed her Chief Marketing and Customer AI Officer. She leads the data resilience company's global marketing organization, but the second half of the title is the revealing half. Yamamoto is also responsible for the framework governing AI across the customer experience. Her task is to decide where an agent should help, how interactions should connect across functions, and when a human being ought to enter the room.
The phrase "customer AI" could have been engineered in a laboratory for corporate vagueness. Yamamoto gives it a practical definition. An automated encounter should be relevant, useful and informed by what came before. Agentic experiences cannot sit in separate departmental boxes. They must work with the human engagement customers still want. Every touchpoint, she argues, should build on the last.
The suitcase that forgot its owner
There is a broken suitcase behind this philosophy. During her time as Chief Customer and Marketing Officer at Freshworks, Yamamoto described a premium bag that failed with weary regularity, roughly every seven months. Each call to customer service began without memory. The company behaved as if her latest broken bag had fallen from a clear sky.
By the third handoff, patience had gone missing with the wheel. The example is funny because it is painfully common. Companies acquire elaborate software to know their customers and then ask those customers to recite the plot from page one. The failure is not a lack of data. It is a failure to make the data travel with the conversation.
At Freshworks, Yamamoto promoted "customer zero" thinking: use the company's own products internally and experience the snags before asking customers to tolerate them. She joined in 2023 with a broad portfolio covering marketing, small-business sales, customer success and support. The organization chart gave her more of the whole picture. Her public standard remained disarmingly modest: customers want to be heard, seen and understood. When a problem cannot be fixed immediately, they want an update.
A career that keeps widening
Yamamoto's career is less a ladder than a camera steadily pulling back. The early frame held research, consulting, channels and product management. She worked at Accenture, became a Research Vice President at Gartner and spent more than six years at Microsoft. Amazon put her in charge of marketing and merchandising for Amazon Books. Then SAP handed her the small and midsize business marketing job.
At SAP, she kept talking about the need to align technology around the customer. Scale required digital systems, she argued, but those systems needed a human touch. In 2017, SAP made her the first person to hold its Chief Digital Marketing Officer title. Her remit covered demand generation, marketing technology and field marketing across a vast enterprise portfolio.
Marketo widened the view again. Yamamoto joined as Global President in 2018, accountable for an end-to-end customer experience that crossed strategy, operations and execution. When Adobe acquired Marketo, she became its senior vice president and general manager. Running the business forced tradeoffs among functions, an experience she later said taught her why no single functional leader can easily repair a fragmented journey.
F5 hired her in 2019 while the company was changing its products and business model. Yamamoto arrived convinced that the work could not be confined to marketing. Transformation would require an end-to-end lift, so the role joined marketing with customer engagement. Her rule for evaluating an experience was concise enough to survive a meeting: does it remove friction or add delight?
The plainness was intentional. She argued that marketing jargon prevents other executives from joining the work. Shareholder value, customer satisfaction and customer value were useful common language. A mysterious pile of acronyms was not. In one interview, she described F5 having 36 stores of customer information. Each team held a piece of the animal and mistook it for the whole.
The useful skepticism of a marketer
Yamamoto is a marketer who distrusts marketing's more elastic arithmetic. At F5, she said she would rather claim three contributions that colleagues believed than three million activities dressed as influence. A pipeline number mattered only if sellers relied on it and the resulting deals closed faster, at a higher rate or with greater value. Self-congratulation was not a commercial outcome.
That suspicion of fuzzy measurement matters in AI, where a demonstration can be mistaken for a transformation. At Freshworks' 2024 AI Summit, she described agents as more capable than scripted chatbots, able to handle complex needs and act autonomously. Yet her emphasis was not replacement. People-first AI, she said, should remove busywork, improve productivity and leave employees better able to serve customers. The direction of travel was from "react and respond" to "anticipate and act."
Veeam now places her at the intersection of that promise and a stubborn technical fact: AI is only as dependable as the data underneath it. The company sells data resilience, backup and recovery. Yamamoto's customer brief therefore has two layers of trust. Customers must be able to trust their data, and they must be able to trust the automated experience built from it. The first is infrastructure. The second is conduct.
There is also a boardroom running alongside the operating career. Yamamoto joined BlackLine's board in April 2019, the same year she moved into the combined customer and marketing role at F5. She remains an independent director and chairs the Compensation Committee. The seat has kept her close to another subscription-software company while her day jobs moved from application delivery to customer-service software and now data resilience. BlackLine describes her contribution in concrete terms: enterprise, mid-market and small-business experience; more than two decades across channel, strategy and operations; and the ability to read data and trends through the customer's response. It is the governance version of the same wide-angle view.
Her operating question
What is the customer trying to accomplish, what context has the company already earned, and does this interaction remove friction or quietly manufacture more of it?
The introvert prepares to be public
A person who has held this many global roles is expected to possess an unlimited appetite for auditoriums. Yamamoto offers a useful correction. She calls herself an introvert. Focused conversations in small groups restore her energy. Big meetings, presentations and global calls spend it.
So she designs the day. Breaks are reserved for concentrated work, planning and reflection. Then she gears up for the larger performance. Years earlier, she described color-coding her calendar to see whether family, friends, philanthropy and work were getting attention. A travel bag stayed packed and stocked. Her spontaneity appears to have an excellent operations department.
Colleagues' public recommendations repeatedly describe her as a leader who develops people, makes herself available and creates cohesion. Yamamoto's own advice is less managerial than personal: be authentic to your values, ask for what you have earned, and show up as the best version of yourself rather than imitating someone else. The introversion is not a disclaimer. It is evidence that presence can be prepared.
A summit measured literally
Yamamoto likes a large goal with a number attached. For 2026, she set out to trek the elevation of Everest, 8,849 meters, in under 36 hours. It is not a claim to climb the mountain. It is a deliberately measurable endurance target, altitude accumulated step after step. The distinction feels characteristic.
She has made a career of entering companies during transitions, gathering scattered functions around a shared customer and testing change before demanding scale. At F5, one data-led sales experiment began with just 14 sellers, a small coalition willing to prove the idea. The grand corporate transformation started as a modest bet whose results could speak.
Her arrival at Veeam begins in the same register. She has said she is listening and learning, asking customers, partners, employees and former employees what concerns them about AI and data. The title may be new. The method is familiar: hear the person, connect the context, choose a few outcomes that matter, and make the machinery answerable to them.
AI will tempt companies to manufacture countless new touchpoints because they can. Yamamoto's harder assignment is to make those moments cohere. The customer should not have to understand the org chart, admire the model or narrate the suitcase saga for a fourth time. She should simply feel that the company remembers, responds and knows when to send a human being.