About this role
The Engineering Manager, Applied AI position at Headstart in New York, NY (or remote within the US or Canada) suits an experienced software leader with a background in engineering management and client delivery who wants to build production AI systems for major enterprises. This professional splits time between hands-on client engagements and managing a team of software engineers.
Role Overview
The Engineering Manager, Applied AI reports to the Head of Engineering and leads a group of engineers across multiple client projects. The position involves maintaining high technical standards, mentoring direct reports, steering engagement delivery, and participating in hiring. Team members work directly with large enterprises to solve complex operational challenges using production artificial intelligence systems.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Headstart creates production artificial intelligence systems for enterprises operating at $100M+ in ARR across various industries. The organization is bootstrapped, cash-flow positive, and scaling rapidly while developing its proprietary platform for agentic systems.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based in a Soho loft office in New York, NY with a hybrid schedule, or open to fully remote candidates located in the US or Canada.
How many years of management experience are required?
Candidates must have at least 3 years of experience managing software engineers.
What programming language is required for this role?
Hands-on experience with Python is required.
What are the salary and financial compensation details?
The base salary is $285,000 USD, plus competitive equity and a 401(k) with a 4.5% employer match.
What does the interview process involve?
The process includes an initial recruiting screen, a technical coding screen, a hiring manager interview, two technical interviews covering coding and systems design, and a final case study discussion.