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Senior leadership requirement and niche technical+people skills reduce applicant density despite metro location.
Requires deep software engineering leadership and AI/cloud experience, moderately transferable across software companies.
Explicit 15+ years, leadership, product and AI mandates create strict screening criteria.
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Manage performance and results of multiple agile engineering teams within a cloud-native SaaS environment.
Lead team leadership activities including coaching, mentoring, performance reviews, and fostering accountability.
Oversee strategic planning, resource management, process improvements, and stakeholder governance across engineering projects.
Bachelor's degree in Computer Science or related field; Master's degree acceptable with experience.
Minimum 12 years total software development experience, including at least 5 years in leadership/people management roles.
At least 1 year experience in AI-native development; knowledge of machine learning, generative AI, NLP, MLOps, and cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Proficiency in cloud-native development with .NET (primarily), Python or Typescript; experience with CI/CD pipelines and SaaS product monitoring.
Experienced leader capable of managing multiple agile teams delivering complex software on Azure cloud platform.
Strong technical background combining AI/ML knowledge and practical software engineering with a focus on scalable SaaS products.
Strategic operator skilled at balancing technical leadership, process governance, stakeholder management, and people development in a fast-evolving tech environment.