AI Software Engineering Manager

Talener; Hoboken (NJ); Hybrid; USD 190,000 - 200,000; Full time

Benefits offered by this job

15% annual performance bonus

Collaborative team structure

Job summary

Talener seeks an experienced AI Software Engineering Manager to lead a cross-functional team in developing a cutting-edge AI platform within education technology. This hybrid position in Hoboken requires strong software engineering skills, particularly in Python and AI/LLM systems, along with proven leadership experience.

The ideal candidate will manage a team, balancing hands-on technical tasks and leadership responsibilities. The compensation includes a competitive base salary and performance bonus.

Qualifications

• 5-10 years of software engineering experience.
• 4-5 years in a people management or engineering leadership role.
• Hands-on experience with AI/LLM-based systems.

Responsibilities

• Lead a cross-functional engineering team for a greenfield AI platform.
• Balance development and leadership responsibilities.
• Oversee sprint planning and team performance in an agile environment.

Skills

Software engineering

People management

Python

AI/LLM systems

AWS

Agile development

Education

Bachelor's degree in Computer Science or related field

Job description

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: $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
• Team operates in a collaborative, flat structure with standard business hours