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 environment

Required 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 preferred

Preferred 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 volumes

Compensation

Base Salary: Up to $200k - 300k
Bonus: 15% annual performance bonus

Additional 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 hours

For more information or to apply, contact Ryan Dwyer at [email protected]