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Senior, niche manufacturing SaaS role reduces applicant density despite metro location and enterprise brand.
Requires manufacturing ERP and agentic AI platform experience, limiting cross-industry transferability.
Explicit 12+ years, 5+ leadership, and mandatory cloud, distributed systems, and architecture skills.
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Lead multiple engineering teams through managers to deliver complex cloud-native, AI-enabled SaaS products for manufacturing platforms.
Set technical direction and architectural decisions for distributed, microservices platforms on AWS ensuring scalability and reliability.
Own engineering outcomes including delivery commitments, KPIs, people development, and cross-functional alignment with Product and other teams.
12+ years software engineering experience with at least 5 years in leadership managing multiple teams.
Proven experience building and delivering enterprise SaaS products on cloud platforms, preferably AWS.
Strong expertise in cloud-native architectures, microservices, distributed systems, and modern SDLC including CI/CD and automated testing.
Work Experience Required: 12+ years software engineering; 5+ years engineering leadership.
Experienced leader with a strategic mindset who can translate business goals into technical execution and lead large engineering organizations.
Background in high-growth SaaS or startup environments, ideally with exposure to AI-driven platforms and intelligent automation.
Operationally focused with a balance of hands-on technical depth and people management skills to scale teams and systems effectively.