Enterprise AI Go-To-Market Leader Joins AI Efficiency Innovator Granica as SVP of Revenue

Granica Launches Industry-first AI Efficiency Platform to Cut Cloud Data  Costs up to 80% and Boost ROI from AI Initiatives | Business Wire

Hailing from UiPath and Tonkean, Jay McGrath Brings High-growth Sales Expertise and Leadership to Accelerate Go-to-Market Efforts at Granica

Granica, the world’s first AI efficiency platform, announced today that Jay McGrath joined as Senior Vice President of Revenue. At Granica, Jay will lead global go-to-market efforts across the sales, solutions engineering and customer success functions and will build the company’s revenue operations processes and toolset.

Prior to joining Granica, Jay held various sales leadership roles at UiPath, a leading Robotic Process Automation provider where he helped establish the U.S. sales organization, scaling U.S. revenues from $500,000 to over $250 million in just over four years. This growth contributed to the company’s successful $36 billion IPO in 2021, making it one of the largest and most valuable tech IPOs ever. In his most recent role as Chief Revenue Officer at Tonkean, a no-code automation platform, Jay rebuilt the sales team and go-to-market function, doubling the company’s customer base within 12 months.

“I’m truly ecstatic to announce Jay McGrath as the newest member of our leadership team here at Granica. His addition is a testament to our vision and culture as a customer-obsessed AI research and deployment company,” said Rahul Ponnala, co-founder and CEO of Granica. “As SVP of revenue, Jay will be in charge of all things related to our go-to-market efforts, bringing our cutting-edge AI efficiency solutions to our customers worldwide via sales motions centered on customer-value and tangible results. With our ever-stronger leadership bench, we are well on our way to solidifying our mission to bring AI efficiency and safety to every enterprise.”

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“Data fuels organizational decision-making. With the recent trends in AI, enterprises will come to rely on these tools to make the most out of their data — but we’re at an inflection point. AI models can only be useful if the data they rely on is accurate and secure,” said McGrath. “I joined Granica because its platform is designed to allow more data to be cost-effectively captured, stored and used to power enterprise AI implementations, thereby improving AI model performance and business outcomes. The team is hyper-dedicated to the mission, with a strong culture focused on teamwork and inclusion. I’m excited to work with this amazing group to help our customers break down the barriers to AI innovation, dramatically lower their costs and increase data security.”

Granica launched from stealth earlier this month and introduced the industry’s first AI efficiency platform. Jay’s role will be instrumental in operationalizing the company’s mission to help make AI affordable, accessible and safe for everyone to use.

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