Sr. Product Manager, Cloud & AI Transformation

🏢 Mastercam · all Mastercam jobs (4)
📍 United States
📅 Posted 2026-09-11 · via Himalayas
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Your Role at a Glance

Mastercam is redefining the future of manufacturing software by evolving from a world-class desktop CAD/CAM system into an intelligent, connected, and cloud-powered platform. We are seeking a visionary Sr. Product Manager, Cloud & AI Transformation, to lead this evolution, driving the migration from traditional desktop software to a modern, service-based cloud architecture that integrates AI-powered workflows, automation, and data-driven insights.

This strategic leadership role will partner across product, engineering, and business functions to define and execute the roadmap for Mastercam ’s next-generation platform. You’ll combine strategic vision with hands-on execution, ensuring our products not only meet the needs of today’s manufacturers but also lead the next era of connected, AI-empowered machining.

How You’ll Drive Success

Cloud & Platform Transformation

- Define the product roadmap for cloud transformation and ensure it aligns with customer needs, business priorities, and technical direction set by Engineering.

- Partner with Software Engineering leadership and Architects to define the service strategy, modernization phases, and hybrid delivery capabilities

- Drive modular Add-On architecture to accelerate feature delivery and partner ecosystem enablement.

- Collaborate with software engineering to establish the technical vision for hybrid delivery models, balancing local compute performance with cloud-powered intelligence.

- Ensure integration with Sandvik’s broader cloud ecosystem and alignment with corporate digital transformation objectives.

- Oversee PLM and 3rd party integration across Mastercam , Sandvik and partner platforms.

AI Enablement & Data Strategy

- Partner with AI/ML teams to embed intelligent automation, manufacturing insights, and predictive analytics into Mastercam workflows.

- Define AI-enabled workflows and customer value.

- Partner with AI Engineering to deliver copilots, automation, and insights.

- Evaluate third-party AI copilots and automation tools.

- Develop strategies for telemetry, user analytics, and data pipelines that power continuous improvement and adaptive learning.

Cross-Functional Leadership

- Collaborate closely with Product Managers, Software Architects, and Engineering leaders to align the transformation roadmap with user needs and business goals.

- Partner with Product Marketing, UX, and QA, to ensure cohesive customer experiences as desktop and cloud modules converge.

- Establish feedback loops between product development, product marketing, customer success, sales and global marketing to drive iterative improvement.

- Define measurable KPIs for transformation success: cloud adoption rates, AI feature engagement, comprehensive milestones, and customer satisfaction.

Change Management & Enablement

- Drive cultural and organizational readiness for cloud-first and AI-augmented product delivery.

- Lead internal communication and enablement programs to align teams on transformation milestones and metrics.

- Mentor and develop team members in modern SaaS, AI, and cloud product practices.

- Oversee early access and beta programs for cloud and AI features.

The Talents We’re Seeking

Education & Experience

- Bachelor’s degree in Computer Science, Engineering, or a related technical field required.

- Master’s degree in Business Administration (MBA), Engineering Management, or equivalent preferred.

- 15+ years of experience in product management or product transformation leadership within software or industrial technology sectors.

- 5+ years of experience managing teams of Product Owners and Product Managers required.

- Proven track record of leading desktop-to-cloud migrations or large-scale product modernization initiatives.

- Strong understanding of cloud architectures (Azure/AWS), SaaS business models, and AI/ML product integration.

- Technical fluency with modern development environments, CI/CD pipelines, APIs, and data

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