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Metro location plus broad leadership and platform requirements increase applicant density despite seniority.
Requires enterprise SaaS distributed-systems, cloud-native platform and engineering leadership experience, limiting cross-industry transferability.
Explicit 12+ years and 5+ years managing teams plus required cloud, architecture, and platform experience raises screening rigor.
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Lead multiple engineering teams to build scalable capabilities in a privacy, consent, risk, AI governance, and compliance platform.
Define and execute engineering strategy aligned with product and customer needs, ensuring delivery and operational excellence.
Drive AI-powered engineering transformations to improve productivity, code quality, and delivery speed through AI-assisted development tools.
12+ years in software engineering with enterprise SaaS platform experience.
5+ years leading engineering managers or multiple engineering teams.
Strong expertise in software architecture, distributed systems, cloud-native applications, and scalable services.
Experience with modern engineering practices like DevOps, CI/CD, observability, and AI-assisted software development.
Experienced strategic engineering leader who can balance deep technical knowledge with organizational leadership.
Proven ability to scale engineering organizations and practices across multiple teams and functions.
Skilled in collaborating cross-functionally with product, architecture, customer engineering, and executive teams to drive customer-focused innovation and measurable business outcomes.