Acumatica Names Pollock as Chief Product Officer to Lead Cloud ERP Innovation

Key Takeaways

Acumatica appoints Jon Pollock as Chief Product Officer to enhance product strategy, innovation and AI integration, reflecting a strategic commitment to disciplined product governance and competitive differentiation.

Pollock's focus on a customer-driven roadmap emphasizes the importance of incorporating community feedback into product decisions, signifying that successful ERP evolution relies on operationalizing user insights.

The new CPO role represents a transition from theoretical AI concepts to practical implementation, highlighting the necessity for ERP insiders to prioritize AI integration in product offerings and technological partnerships.

Acumatica announced the appointment of Jon Pollock as Chief Product Officer (CPO). In this role, Pollock will lead Acumatica’s global product management and user experience organizations, overseeing product strategy, innovation and delivery across the company’s cloud ERP platform. He will play a key role in advancing Acumatica’s product vision and AI innovation strategy as well as supporting growth initiatives across its core industries, including construction, manufacturing, distribution, retail and professional services. Pollock succeeds Ali Jani, who joined Acumatica in 2010 and has been instrumental in developing the company’s business strategy, product evolution and ecosystem growth.

Pollock’s appointment comes at a critical moment for Acumatica, as mid-market businesses seek modern management systems that will scale with them through operational complexity, regulatory pressure, and economic uncertainty. As CPO, Pollock will focus on advancing Acumatica’s customer-driven product roadmap, integrating innovative AI capabilities, strengthening platform functionality, and ensuring the company continues to deliver flexible solutions that help customers operate more efficiently and confidently.

“Acumatica has built something truly unique in enterprise software—a deeply engaged community that helps shape the product,” Pollock in a press release. “I’m excited to join a company whose primary focus is on delivering technology to mid-market organizations that’s both powerful and practical. My focus will be on driving innovation, including leveraging AI to deliver insights and automation that directly impact how growing businesses operate, scale, and compete.”

In his career, Pollock has more than 25 years of experience building and scaling SaaS and payments platforms at high-growth technology companies. Most recently, he served as CPO at Procare Solutions and general manager of Procare’s ChildPlus division, leading product management, user experience, sales, marketing, and customer support teams across childcare management SaaS, payments, and early learning solutions.

What This Means for ERP Insiders

Leadership change sharpens product and AI strategy. Acumatica’s decision to appoint a seasoned SaaS leader as CPO underscores a strategic commitment to disciplined product governance, clearer roadmap accountability, and accelerated AI innovation for mid-market cloud ERP. This development is a signal to vendors and architects that product leadership depth is now critical to sustaining competitive differentiation and platform relevance.​

Customer-led roadmap becomes strategic doctrine. Pollock’s mandate to advance a customer-driven roadmap reinforces Acumatica’s model of tightly coupling community feedback with product decisions. In the future, successful ERP evolution depends on continuously operationalizing user insight into vertical-specific capabilities, modernization and cloud platform services.​

AI-infused cloud ERP moves from promise to execution. With explicit responsibility to integrate innovative AI and improve platform functionality, the new CPO role signals a shift from aspirational AI narratives to targeted delivery of automation, decision support and industry-tailored insights. As a result, this will push ERP insiders to prioritize architectures, partnerships and skills that can operationalize AI at scale in real customer environments.​