Position Summary... What you'll do... Role summary: The Senior Manager, Software Engineering leads the execution of platform-level software and AI/ML systems, ensuring alignment with strategic priorities and roadmap milestones. This role oversees scalable infrastructure, DevOps practices, and cloud cost optimization while driving technical excellence and operational delivery. Collaborating across teams, the position manages complex initiatives, mentors engineering talent, and promotes continuous improvement. The role requires strong stakeholder engagement to align engineering efforts with business goals, ensuring high system availability, maintainability, and innovation in delivering robust, AI-integrated software solutions at scale. About the team: The Data Science team applies advanced analytical and modeling techniques to address complex business challenges. Utilizing tools such as Python, SQL, and machine learning frameworks, the team focuses on model assessment, validation, and deployment. Collaborating closely with business stakeholders, they translate requirements into actionable insights and data-driven solutions. Emphasizing rigorous statistical methods and clear data visualization, the team ensures effective communication of findings. Committed to continuous learning and innovation, members follow best practices and emerging technologies to deliver impactful results aligned with organizational goals. What you'll do: Lead platform-level execution of software and AI/ML systems, ensuring alignment with domain priorities and roadmap milestones. Oversee shared infrastructure, tooling, and ML frameworks to support scalable, secure development. Drive full software development lifecycle across multiple teams, championing DevOps architecture and CI/CD practices. Implement cloud cost optimization and enhance automation, telemetry, and tooling. Mentor engineers, guide architectural decisions, and promote technical quality and compliance. Manage stakeholder relationships to align priorities and unblock progress. Establish and track operational and engineering metrics to drive continuous improvement. Foster innovation by identifying opportunities to enhance processes and products.
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Job Type
Full-time
Career Level
Mid Level