AI Software Engineering Manager

· 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

· 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: $190,000 - $200,000 · 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, {“@context”:”http://schema.org”,”@type”:”JobPosting”,”baseSalary”:null,”datePosted”:”2026-06-10”,”validThrough”:”2027-06-10”,”description”:”<div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;"><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">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.</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Job Title: AI Software Engineering Manager (LLM / Platform)
Location: Hybrid (Hoboken, NJ - 2-3 days onsite)</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Responsibilities</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Lead and manage a cross-functional engineering team responsible for building and scaling a greenfield AI platform</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Balance hands-on development (~30%) with leadership responsibilities, including system design, roadmap planning, and stakeholder management</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Drive the development of agentic AI systems and LLM-powered applications within a cloud-native architecture</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Collaborate closely with product, design, and executive stakeholders to define and deliver on technical strategy</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Mentor and grow engineering talent, including managing offshore team members and contributing to future hiring efforts</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Establish engineering best practices and ensure successful delivery of high-quality, scalable software solutions</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Oversee sprint planning, execution, and team performance within an agile environment</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Required Skills & Experience</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· 5-10 years of software engineering experience, with 4-5 years in a people management or engineering leadership role</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Strong backend engineering experience with Python as a primary language</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Hands-on experience building and deploying AI/LLM-based systems in production, including familiarity with agentic frameworks such as LangChain</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Strong understanding of modern cloud environments, particularly AWS</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Proven experience managing engineering teams (not solely as a technical lead)</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Background in SaaS environments, either B2B or large-scale B2C platforms</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Ability to balance technical depth with leadership, communication, and execution</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Strong communication skills and a collaborative, low-ego leadership style</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Bachelor’s degree in Computer Science or a related field is preferred</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Preferred Qualifications</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Experience managing distributed or

offshore teams</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Familiarity with scaling engineering teams from contractor-heavy to full-time structures</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Exposure to large-scale, user-facing platforms with high traffic volumes</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Compensation</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Base Salary: $190,000 - $200,000</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Bonus: 15% annual performance