At 4:30 one morning, Justin Shriber reported to the UCLA boathouse and briefly tried to become a rower. He lasted about two weeks. Years later, the failed experiment became useful material: a way into a conversation about crews, preparation and the elusive moment when everyone pulls together so cleanly that the boat seems to lift. Shriber did not earn that feeling on the water. He has spent much of his career trying to build its corporate equivalent.
The career has crossed three decades and nearly every important seat around enterprise sales software. He worked on early sales-force automation products at Siebel Systems. He led a cloud CRM sales organization at Oracle. At LinkedIn, he ran global marketing for Sales Navigator. Then came chief marketing officer roles at People.ai and Ontra, followed by the top job at BoostUp in February 2024. In September 2025, BoostUp became Terret, and Shriber emerged as its cofounder and CEO.
The titles form a tidy sequence only from a distance. Up close, the interesting part is how often Shriber crossed a functional border. Product led to sales. Sales informed marketing. Marketing pulled him deeper into data, customer behavior and AI. Each move gave him a different view of the same stubborn scene: a buyer leaving clues across calls, emails, meetings and software systems while the seller tries to assemble a coherent story before the quarter ends.
The useful detour
Shriber's appetite for unfamiliar territory appeared early. At 19, he left Los Angeles for Antofagasta, a port and mining city in northern Chile, planning to serve there for two years. He later studied English and economics at UCLA, an unusual pairing that makes sense in retrospect. One discipline asks how a story works. The other asks how a system allocates scarce resources. He added an MBA from Harvard Business School, then began his working life at McKinsey & Company.
He has a favorite metaphor for career design. A company, he once said, is like an amusement park. You arrive to discover new things. Eventually, even a ride you loved can stop being fun. That moment may come while the business is healthy, the pay is good and the conventional career signals remain green. For Shriber, boredom is information. It suggests that another ride might teach him more.
The philosophy has produced at least one deliberately awkward move. While working in product marketing, he saw an opening in sales management. Taking it required what he described as a small demotion. The experience mattered more than the title. Running sellers gave him lessons that later became part of his operating foundation. It also removed the comfortable distance between designing an idea and asking a customer to pay for it.
That boundary-crossing habit followed him into larger organizations. At Siebel, he helped build some of the first generation of software intended to formalize the sales process. At Oracle, he learned enterprise selling while competing in the CRM market. At LinkedIn, he worked on Sales Navigator, where the raw material was no longer just a manually entered account record. It included relationships, professional identity, changing roles and the intent signals people create through activity.
A people business with a data problem
By the time Shriber joined People.ai, the problem had changed shape again. Businesses could capture an extraordinary volume of activity, but volume did not create understanding. Marketing saw audiences at scale. Sellers saw a smaller set of live conversations. Operations saw fields and conversion rates. Every group held a partial map.
Shriber argued that the answer lived between those views. In one interview, he described a recurring sales-and-marketing meeting where both groups studied pipeline indicators without assigning blame. A weak conversion rate became a shared question. The useful answer often sat somewhere between the field's human observations and marketing's aggregate data. His point was managerial before it was technical: put the people who see different evidence at the same table.
He was equally wary of using technology as an excuse to forget the individual. Companies can touch thousands of people, he observed, but each person still expects to be understood as a person. Scale raises the standard for relevance. The machinery has to assemble fragmented signals without flattening the customer on the other side.
That line supplies a useful check on his current AI thesis. Shriber is not selling automation as a substitute for relationships. He is arguing that too much human attention is consumed by clerical translation: entering activity, reconstructing context, reading a stack of transcripts, copying an insight into a task and explaining why a forecast moved. Automate that layer, and a seller can spend more time with the customer.
The forecast is only the beginning
BoostUp recruited Shriber as CEO in 2024 after building a business around revenue operations, forecast accuracy and deal visibility. The fit was direct. He had built CRM products, sold CRM, marketed a social-selling platform and led go-to-market at AI companies. He also knew the forecast meeting from the inside: the rolled-up number that looks certain on a slide, followed immediately by requests for the color behind it.
Forecasting exposes the central defect in sales data. A number can be current while its explanation is stale. The CRM field may reflect what a rep had time to type between calls, while the real deal has moved through an email, a meeting or a new stakeholder. A leader does not merely need a probability. She needs the trail of evidence, the risk and the intervention that remains possible.
Shriber soon widened the company's ambition. Better measurement had been the starting point, but customers wanted help shaping outcomes. The September 2025 change from BoostUp to Terret made that repositioning visible. The new product language centered on a “Virtual Revenue Fleet”: interconnected agents covering pipeline generation, sales process, mutual action plans, renewals and expansion.
Do not begin an AI project with the model. Begin with the handoff. Identify where a useful signal currently dies between a dashboard and a human task. Connect the evidence, name the decision, and define the action that should follow.
Underneath the fleet is what Terret calls a revenue graph. CRM records, call transcripts, email, calendars, product usage, billing and other signals arrive without a shared, explicit identifier. The graph is meant to connect them through context, the way a person fits puzzle pieces by color and form. With the pieces joined, an AI system can answer a question with more than a clever paragraph. It can update the process, flag the risk, build the plan or prepare the next interaction.
The promise is substantial, and the standard should be practical. An agent earns its place by removing work or changing an outcome, not by producing more material to inspect. Shriber frames the target as automating tactical work so sellers, managers and operations teams can focus on customers and judgment. This is a continuation of the same systems view he brought to sales and marketing alignment, now expressed in software.
Learning to pull together
Shriber's second act as a podcast host offers another view of that system. At People.ai, he hosted Legends of Sales and Marketing. At Terret, he hosts Revenue Mavericks, conversations with operating leaders about risk, preparation and predictable growth. Hosting suits a career built by crossing disciplines. The job is to ask a practitioner how one part of the machine really behaves, then carry the insight into the next room.
It also returns us to the boathouse. Shriber recently told the story of a more committed rower who described “swing,” the sensation of a crew moving in exact unison after sustained preparation. Shriber's own rowing career was comically short, and he says so. The failed attempt gives the metaphor its charm. He is not claiming athletic authority. He is noticing a pattern.
Terret's fleet is an attempt to manufacture something adjacent to swing inside a revenue organization: shared context, coordinated movement and less energy lost between systems. Software cannot create trust, judgment or a good customer conversation. It can make sure the crew is looking at the same river.
For Shriber, the through-line from Siebel to Terret is not that each new platform replaces the human element. It is that each generation tries to remove another layer of blindness. CRM recorded. Social networks revealed relationships. Revenue intelligence assembled signals. Agents are being asked to follow through. After thirty years, the newest ride in Shriber's amusement park begins where the dashboard ends.