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Distinguished Engineer – AI, Engineering Transformation

À propos du poste

• Lead Acumatica’s next phase of transformation in the AI era
• Lead enterprise-wide transformation initiatives across AI-enabled product innovation and engineering productivity
• Partner with platform, AI/ML, product, and application engineering leaders to accelerate AI adoption
• Shape how Acumatica builds and delivers software in the AI era
• Drive adoption of AI across products and workflows
• Define and scale AI-powered product capabilities
• Guide application teams in using AI building blocks, orchestration infrastructure, and platform services
• Influence application architecture, design patterns, and engineering practices for scalable AI adoption
• Identify and deliver high-impact customer AI scenarios
• Transform the engineering lifecycle through AI-assisted development practices
• Identify opportunities to improve productivity, engineering quality, and delivery efficiency using AI
• Drive modern engineering practices across business analysis, development, and QA teams
• Evolve how software is designed, built, tested, and maintained at scale
• Define and influence long-term AI and engineering transformation strategy
• Evaluate emerging technologies, industry trends, and competitive movements
• Align technical strategy with customer and business priorities
• Provide hands-on technical guidance, architectural leadership, and mentorship
• Align stakeholders, build consensus, and drive execution across organizational boundaries
• Represent Acumatica externally with customers, partners, analysts, and at industry events and conferences

• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field
• 15+ years of software engineering experience
• Significant experience leading large-scale technical initiatives in SaaS or cloud-based enterprise software environments
• Proven experience delivering and productizing AI/ML capabilities in enterprise applications
• Strong enterprise application architecture experience
• Experience driving engineering transformation initiatives, including modern software development practices and AI-assisted engineering workflows
• Demonstrated ability to influence across organizations, align senior stakeholders, and lead complex initiatives without direct authority
• Deep technical credibility with the ability to operate strategically while remaining hands-on when needed
• Strong communication and collaboration skills
• Experience working in fast-moving product organizations is a plus
• Experience with partnerships, acquisitions, or ecosystem strategy in the AI/ML space is a plus

• Exceptional professional and financial growth potential
• Annual bonus eligibility for certain roles
• Stock eligibility for certain roles
• Sales incentives for certain roles, depending on plan and role
• Healthcare benefits for US-based employees: medical, dental, and vision insurance for employees and dependents
• Employer-paid short-term and long-term disability coverage
• Employer-paid basic life coverage
• 401(k) plan with company match
• Flexible time off
• Sick and safe leave