



Artūras Lazejevas
Artūras Lazejevas
CTPO @ Whatagraph
CTPO @ Whatagraph
Arturas Lazejevas is a product and engineering leader with a rare comprehensive background spanning the entire tech stack—from physical data centers to cloud infrastructure and modern AI-driven SaaS. Currently serving as the Chief Technology & Product Officer (CTPO) at Whatagraph , he is responsible for scaling product and engineering teams to build a premier marketing intelligence platform.
Previously, as the CEO of Cherry Servers, Arturas orchestrated a major strategic pivot, transforming a traditional hosting business into a high-performance bare metal cloud provider. His leadership experience covers deep technical execution—including server hardware planning and capacity management—alongside business maturity initiatives like financial restructuring and ISO standardization.
Arturas also has a strong background in tech education as the Co-founder of Išmanioji Mokykla, a school dedicated to robotics and programming skills. He brings a pragmatic, "full-stack" perspective to building scalable AI and data products.
Arturas Lazejevas is a product and engineering leader with a rare comprehensive background spanning the entire tech stack—from physical data centers to cloud infrastructure and modern AI-driven SaaS. Currently serving as the Chief Technology & Product Officer (CTPO) at Whatagraph , he is responsible for scaling product and engineering teams to build a premier marketing intelligence platform.
Previously, as the CEO of Cherry Servers, Arturas orchestrated a major strategic pivot, transforming a traditional hosting business into a high-performance bare metal cloud provider. His leadership experience covers deep technical execution—including server hardware planning and capacity management—alongside business maturity initiatives like financial restructuring and ISO standardization.
Arturas also has a strong background in tech education as the Co-founder of Išmanioji Mokykla, a school dedicated to robotics and programming skills. He brings a pragmatic, "full-stack" perspective to building scalable AI and data products.