Head of Engineering at MLabs

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

250000.0

Posted On

06 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

AI, Engineering Leadership, Product Roadmap, Cloud-Native Infrastructure, Kubernetes, DevOps, Code Quality, Team Building, Mentoring, Architecture, Testing, Customer Engagement, Technical Vision, AI Techniques, Vector DBs, Agentic AI

Industry

IT Services and IT Consulting

Description

Location: New York City (Flatiron) Employment Type: Full-time On-site: In-person in NYC About the Role Our client, an AI company building a collaborative workspace for biopharma's commercial and clinical teams, is seeking a Head of Engineering to join them at the founding executive level. This is a high-leverage role where you will be responsible for setting the technical vision, driving the product roadmap, and building a world-class engineering team and culture from the ground up. You will be the "cross-functional glue," aligning engineering, product, and business goals to ensure both rapid short-term traction and long-term vision. What You'll Do Define the Product & Technical Vision for their AI-powered workspace. Implement cutting-edge AI techniques (LLMs, agentic AI, RAG systems, vector DBs) and align resources for prioritization and execution. Lead execution and set a culture of engineering excellence, writing and reviewing code across the full stack. Drive best practices in architecture, testing, and DevOps, serving as the gold standard for code quality. Own the cloud-native infrastructure (Kubernetes/EKS, ECS, SQS, VPC networking, etc.). Recruit and lead an A+ engineering team, mentoring existing members and fostering a culture of direct feedback and continuous improvement. Represent the company externally, engaging with customers, partners, and investors to articulate the technical edge and product strategy. 6-15 years of experience as an engineering leader with a strong technical background. Proven experience managing an early-stage team. Deep technical fluency across the required stack and in modern AI paradigms. Salary: $200K - $250K Equity: 0.5% - 5% (Generous) Visa sponsorship is available for H1B transfers and TN visas. Benefits include: Health insurance and 401k. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. About MLabs MLabs is a full-stack software consultancy working with leading blockchain, AI, and tech startups worldwide. We’re supporting this client with their hiring, and you’ll be joining their team directly. 👉 Apply now to be part of one of the most exciting AI startups in NY. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Responsibilities

Define the product and technical vision for an AI-powered workspace and implement cutting-edge AI techniques. Lead execution, set a culture of engineering excellence, and recruit and mentor a high-performing engineering team.