Jin joins the Data + AI Observability leader to expand its category leadership and capitalize on strong momentum in 2025
SAN FRANCISCO–(BUSINESS WIRE)–Monte Carlo, the data + AI observability leader, today announced the appointment of Wayne Jin as Chief Marketing Officer. With over two decades of experience leading marketing and growth initiatives at category-defining technology companies, Jin will spearhead Monte Carlo’s global marketing strategy as the company continues to scale and support its customers in the evolution of data + AI reliability.
In this role, Jin will oversee all marketing initiatives including brand, product marketing, demand generation, and communications, helping drive Monte Carlo’s mission to eliminate data + AI downtime, and drive the adoption of trusted AI products.
“I’m thrilled to be joining Monte Carlo, a market-defining company that is helping organizations build trust in their data and AI,” said Jin. “I’ve long admired Monte Carlo’s customer-centric approach and ruthless commitment to innovate on their customers’ behalf. I’m excited to help scale the company’s marketing impact at such a pivotal moment for the industry.”
Jin most recently served as Vice President of Product Marketing at Grafana Labs, where he helped scale the company’s observability platform to thousands of customers. Previously, he was Vice President of Marketing at AppDynamics, where he led product, customer, and partner marketing during a period of rapid growth. Jin has also held senior leadership positions at GitHub, where he built product and partner marketing functions, and at Google Cloud, where he drove global campaigns to support the company’s enterprise adoption.
“We’re excited to welcome Wayne to Monte Carlo,” said Barr Moses, co-founder and CEO of Monte Carlo. “Wayne has a rare ability to combine a fluid vision for the future of our space, with the experience and skill to execute at the highest level. His experience leading marketing teams and building beloved, global brands makes him the ideal partner as we continue to build the data + AI observability category.”
Jin’s appointment comes as Monte Carlo continues to expand its customer base and lead the data + AI observability market. Earlier this week, Monte Carlo announced the launch of Agent Observability, an industry-first capability that provides end-to-end visibility across the data + AI stack. It enables teams to detect, triage, and resolve AI reliability issues in production, preventing costly data + AI downtime, preserving customer trust, and ensuring AI-powered products are accurate, relevant, and reliable. With the release, Monte Carlo becomes the first vendor to unify observability across both data and AI stacks within a single platform, allowing teams to ensure the quality of agent outputs and inputs.
To learn more about how Monte Carlo is reshaping the future of data + AI observability, register for its annual IMPACT Data + AI Observability Summit, held virtually on November 6, 2025. Register here: https://impactdatasummit.com/#virtualsummit
About Monte Carlo
As businesses increasingly rely on data to drive decision-making, scale digital services, and power AI initiatives, it’s mission-critical that this data is trustworthy and reliable. Monte Carlo, the data + AI observability company, solves the costly problem of broken data through its fully automated, SOC-2 certified platform. Backed by Accel, Redpoint Ventures, GGV Capital, ICONIQ Growth, and IVP, Monte Carlo empowers companies to trust their data. Over the past year, Monte Carlo has doubled its enterprise footprint, introduced the industry’s first Agent Observability capabilities, and was recognized as the #1 Data Observability Platform by G2, GigaOm, ISG, Everest Research, and more.
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