Manager, Software Engineering - AI Enablement

We are seeking a highly experienced Lead Engineer / Engineering Manager to lead strategic initiatives across AI Enablement, Forward Development, and core Software Development.\n\nKey Responsibilities\n\n- Lead engineering teams delivering AI-enabled platforms, forward development initiatives, and core software systems.\n- Drive large‑scale transformation programs, including platform modernization, refactoring initiatives, and migration efforts.\n- Own the design and delivery of shared tooling, frameworks, and developer productivity platforms.\n- Provide architectural guidance across backend services, APIs, distributed systems, and cloud‑native architectures.\n- Lead forward development efforts such as re‑engineering existing solutions, building new capabilities, proof‑of‑concepts, and next‑generation platform solutions.\n- Leverage product and platform consumption data to understand feature and tool usage, guiding design, prioritization, and improvement.\n\nCross‑Functional & Stakeholder Leadership\n\n- Partner with Product, Platform, Cloud, and DevEx teams to deliver cross‑company initiatives.\n- Work effectively across global, distributed engineering teams and multi‑geo delivery models.\n- Manage and influence senior stakeholders, providing clear technical direction, progress visibility, and risk management.\n- Translate business and platform strategy into executable engineering roadmaps.\n\nPeople Leadership\n\n- Manage, mentor, and grow senior engineers and technical leads.\n- Support Lead Engineers transitioning into people or platform leadership roles.\n- Foster a culture of engineering excellence, accountability, and continuous improvement.\n- Support hiring and onboarding of new engineers.\n\nAdditional Responsibilities\n\n- Mentor engineers through coaching, 1:1s, and career planning.\n- Collaborate across Product, Design, and Engineering teams.\n- Drive code reviews, architecture planning, and system monitoring.\n- Manage Agile ceremonies including planning, retrospectives, backlog grooming.\n- Champion innovation and continuous improvement.\n\nRequired Qualifications\n\n- 10+ years of experience in software engineering, platform engineering, or backend systems.\n- 6+ years of related experience; 4+ years with an advanced degree is acceptable.\n- Minimum 2 years of managing and developing employees within an engineering context.\n- Experience working as a Lead Engineer or Engineering Manager with people‑management responsibility.\n- Proven experience running large‑scale engineering transformation programs, including refactoring or platform modernization.\n- Hands‑on experience building or leading AI‑enabled systems, automation, or platform capabilities.\n- Strong backend development experience using Java, Go, Python, Node.js, or similar languages.\n- Solid foundation in system design, distributed systems, and API design.\n- Practical experience with AWS, Azure, or GCP.\n- Experience working with global, distributed engineering teams.\n- Strong communication skills and proven ability to manage senior technical and business stakeholders.\n- Experience analyzing usage or consumption data to evaluate adoption and effectiveness of product features or internal tools.\n- Fluent written and oral communication in English.\n\nNice to Have\n\n- Experience with LLM‑based systems, AI agents, or AI platform enablement.\n- Experience building internal tooling, shared platforms, or developer enablement solutions.\n- Exposure to cloud migrations or large‑scale system refactoring programs.\n\nBenefits\n\n- Health & Wellness – competitive health insurance and generous paid parental leave for eligible new parents.\n- Hybrid Work Opportunities.\n- Flexible Time Off.\n- Career Development & Mentoring Programs.\n- Community Volunteering & Company Philanthropy Programs.\n- Employee Peer Recognition Programs (e.g., “You Earned it”).\n\nWe are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.\n\n#J-18808-Ljbffr