About The Position

This position provides technical and people leadership for software engineers delivering internal, AI-enabled products and platforms as part of the Embedded Innovation Program. The role is responsible for leading small, high-impact engineering teams embedded with business domains to rapidly identify, prototype, deliver, and scale AI-driven solutions that improve employee productivity, decision quality, and operational speed. The Manager, Software Engineering partners closely with Product Managers, designers, domain stakeholders, and platform teams to translate ambiguous problem spaces into secure, reliable, and reusable AI-first solutions. This role emphasizes modern AI development practices, experimentation, and rapid iteration while maintaining high standards for engineering excellence, security, and compliance. The position reports progress, outcomes, and risks to senior technology leadership and contributes to the evolution of AI engineering standards, patterns, and ways of working.

Requirements

  • 8+ years of professional software development experience
  • 2+ years of experience managing or leading software engineers
  • BS in Computer Science, Engineering, or equivalent experience required; advanced degree preferred
  • Experience delivering AI-enabled or data-driven products in an enterprise environment
  • Experience leading engineering teams building AI-enabled applications, including LLM-based workflows, automation, or decision-support systems
  • Working knowledge of modern AI architectures, such as model integration patterns, retrieval-augmented generation (RAG), and orchestration frameworks
  • Ability to balance rapid experimentation with enterprise requirements including security, privacy, reliability, cost management, and governance
  • Proficiency in cloud-native development, APIs, and scalable service architectures
  • Experience with modern programming languages and frameworks (e.g., Java, Python, JavaScript/TypeScript, .NET)
  • Working knowledge of SQL and NoSQL data stores and data modeling concepts
  • Experience with Agile development practices and iterative delivery models
  • Familiarity with CI/CD pipelines, automated testing, observability, and production support
  • Ability to evaluate emerging AI tools and technologies and apply them pragmatically

Responsibilities

  • Lead engineers responsible for building internal, employee-facing AI products from concept through production
  • Partner with Product Managers to scope, prioritize, and deliver high-impact AI use cases aligned to business outcomes
  • Ensure solutions are built with scalability, maintainability, and reusability in mind
  • Participate in design and code reviews to maintain engineering standards and quality
  • Act as a technical escalation point for complex implementation issues
  • Support AI-first engineering practices across the software development lifecycle
  • Contribute to shared patterns, components, and documentation to enable reuse across teams
  • Work with architecture, platform, and security partners to ensure compliance with enterprise standards
  • Manage performance, coaching, and development of engineering staff
  • Foster a culture of learning, experimentation, and continuous improvement
  • Ensure team members have the tools, training, and support needed to succeed
  • Collaborate with domain teams and stakeholders to understand problems and deliver effective solutions
  • Communicate progress, risks, and tradeoffs clearly to partners and leadership
  • Support adoption and change management for new AI-enabled capabilities

Benefits

  • We promote a healthy work/life balance across the organization.
  • We offer an appealing working prospect for our people.
  • With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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