Software Engineering Manager

About GenGen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. About the RoleWe're seeking a Software Engineering Manager with a strong background in software application development and a forward-looking approach to AI-driven engineering. You will lead a team of highly talented full stack developers, responsible for the development and delivery of the self-service tools and experiences behind Norton's public-facing customer support <portal.You> will collaborate with product managers, architects, data scientists, and business partners to design, develop, and deliver solutions that meet functional requirements and exceed systems performance expectations. You will champion the responsible integration of AI capabilities into our products and engineering workflows, helping the team move faster without sacrificing quality or safety.Additional duties include technical solution review, design documents, functional specifications, hiring, and promoting industry best practices, including emerging best practices around AI systems.Key ResponsibilitiesCoordinate schedules and milestones with cross-functional stakeholders and clientsAssign, review, and guide the work of software engineers; monitor team capability, capacity, progress, and delivery across sprint cyclesAnalyze development workflow, establish priorities, develop standards, and set deadlines; proactively identify and resolve performance breakdownsProvide candid, constructive feedback; maintain high visibility into project health for senior leadership and stakeholdersIdentify, introduce, and champion AI-assisted developer tooling — code generation, code review assistants, and automated testing (e.g., GitHub Copilot, Cursor) — and help teams adopt it effectively to improve productivity and code qualityUphold principles of fairness, transparency, and safety when evaluating, shipping, and monitoring AI systems; define guardrails and human-in-the-loop checkpointsGuide the team's use of large language models (LLMs) and prompt engineering; ensure model outputs are evaluated for quality, safety, and reliabilityOversee the integration of LLM APIs into production systemsDefine evaluation frameworks for AI features, including metrics and regression testingAnticipate and mitigate AI risks such as hallucination, data privacy, model drift, adversarial inputs, and regulatory considerationsAbout YouBS in Computer Science, Computer Engineering, or equivalent combination of education and experience10+ years of full-time software engineering experience, including hands-on work in backend and/or client-side systems5+ years of Agile development experience, including team leadership or managementDemonstrated experience working with or shipping AI-powered features in production environmentsExperience with RESTful API design and microservices architectureWorking knowledge of source code control systems and release management (Jira, Git/GitHub, and associated workflows)Strong communication and collaboration skills; ability to influence without authority across engineering, product, and data science teamsDemonstrated passion for high-quality solutions and engineering excellenceExperience with CI/CD pipelines and DevOps practice.Experience with Kubernetes, Azure, AWS, or Google CloudExperience with NoSQL technologies (MongoDB, DynamoDB, Redis)Experience with Ruby, Java, or ReactExperience with self-service support technologies: help-center search, knowledge bases, or web chatbot/virtual-agent platformsWhat’s NextHM Screening CallTechnical Interview #1Technical Interview # 2Stakeholder Chat #1Stakeholder Chat #2