Senior Manager, Software Engineering – Micro Frontend

Role Overview

• Provide technical and people leadership for multiple Scrum-based engineering teams
• Drive delivery of full-stack applications and AI/ML-enabled capabilities
• Lead the design and delivery of full-stack applications
• Guide adoption and integration of AI/ML technologies into enterprise platforms
• Partner with Architecture and Data teams for scalable, explainable, secure, and compliant AI/ML solutions
• Establish and enforce engineering best practices for code quality, testing, CI/CD, observability, and reliability
• Collaborate with Security, Risk, and Compliance teams to embed controls into the SDLC
• Support audit readiness, model governance, and documentation standards for AI/ML solutions
• Drive data governance, privacy, and responsible AI practices
• Build, scale, and lead high-performing full-stack engineering teams
• Manage and mentor Engineering Managers, Tech Leads, and senior engineers
• Own hiring strategy, onboarding, performance management, and career development
• Foster a culture of accountability, innovation, and continuous learning
• Lead multiple Scrum teams and ensure consistent application of Agile/Scrum practices
• Partner with Product Owners and Scrum Masters to manage backlogs, sprint planning, and delivery commitments
• Drive predictable, high-quality delivery through metrics such as velocity, cycle time, and defect rates
• Remove impediments and manage cross-team dependencies
• Oversee the end-to-end lifecycle of AI/ML solutions
• Translate business and product strategy into engineering roadmaps and execution plans
• Balance short-term feature delivery with long-term platform scalability and technical debt reduction
• Manage risks, trade-offs, and dependencies across teams and programs

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 10+ years of software engineering experience with 5+ years in people leadership roles
• Experience building and scaling full-stack engineering teams in enterprise environments
• Hands-on experience delivering AI/ML-enabled solutions in production systems
• Strong understanding of cloud-native architectures, APIs, and distributed systems
• Proven experience managing Scrum teams and Agile delivery at scale

Tech Stack

• Cloud
• Distributed Systems
• SDLC

Benefits

• flexible work environment
• fluid career paths
• celebrate internal mobility
• importance of purpose and well-being
• work-life balance
• create a welcoming and inclusive environment
• volunteering for causes that matter most