AI Software Engineering Manager

We are seeking an AI Software Engineering Manager to lead a high-impact team building a next-generation, greenfield AI platform within the education technology space. This platform will serve as a unifying layer across a large ecosystem of digital learning products, supporting millions of users at scale. This is a full-time position based in the U.S. with a hybrid schedule in Northern New Jersey. The ideal candidate brings a strong combination of hands-on technical expertise in AI/LLM systems and proven experience leading engineering teams in a SaaS environment. U.S. work authorization is required. No visa sponsorship is available at this time.Job Title: AI Software Engineering Manager (LLM / Platform)Location: Hybrid (Hoboken, NJ – 2–3 days onsite)Responsibilities· Lead and manage a cross-functional engineering team responsible for building and scaling a greenfield AI platform· Balance hands-on development (~30%) with leadership responsibilities, including system design, roadmap planning, and stakeholder management· Drive the development of agentic AI systems and LLM-powered applications within a cloud-native architecture· Collaborate closely with product, design, and executive stakeholders to define and deliver on technical strategy· Mentor and grow engineering talent, including managing offshore team members and contributing to future hiring efforts· Establish engineering best practices and ensure successful delivery of high-quality, scalable software solutions· Oversee sprint planning, execution, and team performance within an agile environmentRequired Skills & Experience· 5–10 years of software engineering experience, with 4–5 years in a people management or engineering leadership role· Strong backend engineering experience with Python as a primary language· Hands-on experience building and deploying AI/LLM-based systems in production, including familiarity with agentic frameworks such as LangChain· Strong understanding of modern cloud environments, particularly AWS· Proven experience managing engineering teams (not solely as a technical lead)· Background in SaaS environments, either B2B or large-scale B2C platforms· Ability to balance technical depth with leadership, communication, and execution· Strong communication skills and a collaborative, low-ego leadership style· Bachelor’s degree in Computer Science or a related field is preferredPreferred Qualifications· Experience managing distributed or offshore teams· Familiarity with scaling engineering teams from contractor-heavy to full-time structures· Exposure to large-scale, user-facing platforms with high traffic volumesCompensation· Base Salary: Up to $200k - 300k· Bonus: 15% annual performance bonusAdditional Information· Hybrid role requiring 2–3 days per week onsite in Hoboken, NJ· Must be authorized to work in the United States — no visa sponsorship available· Opportunity to lead development of a highly visible, greenfield AI platform with enterprise-wide impact· Team operates in a collaborative, flat structure with standard business hoursFor more information or to apply, contact Ryan Dwyer at View email address on click.appcast.io #Li-Hybrid