Head of Engineering

Sagora • Boston, MA

2d

About The Position

We are looking for a dynamic, highly technical, hands-on Head of Engineering to lead our small but exceptional team of engineers. This is a “player-coach” role for a leader who still loves to dive into the design, architecture, and code with the team, but is equally passionate about (i) driving accountability, (ii) building a high-performance, truth-seeking, can-do culture, and (iii) delivering tangible business results. You will manage the development of our platform that optimizes demanding AI workloads. You will report to Glia AI’s co-founder and CEO playing a pivotal role in shaping Glia’s technical and organizational future.

Requirements

• Deep understanding of the entire stack, from model code and serving frameworks (Triton, vLLM) to distributed systems to hardware-specific runtime configurations.
• Experience with agentic AI and a strong desire to build these systems using software and systems engineering principles.
• Experience managing small, high-performance teams in a fast-paced startup or advanced R&D environment. You know how to drive a team toward milestones while maintaining high software and system quality.
• Experience with one or more of cloud systems for AI workloads, GPU optimization, and performance engineering.
• Strong proficiency in Python and AI/ML frameworks (e.g., PyTorch).
• Expertise in or experience with agentic AI systems.
• Experience with heterogeneous hardware environments and AI/ML pipelines.
• Belief that AI is the ultimate collaborator for discovering new ideas in AI-driven systems and excitement to contribute to this mission.

Responsibilities

• Lead & scale: Manage and grow a highly productive team of systems and AI engineers, fostering a culture of disciplined rigor without bureaucratic friction.
• Drive execution: Ensure that research-led designs and experiments are implemented in a robust, production-faithful platform that handles complex processing pipelines and heterogeneous hardware infrastructure.
• Engineering execution: Own and execute the engineering roadmap, working closely with the Product and Business leadership of the company.
• Bridge the gap between research and platform: Our work spans the range from research on trustworthy agentic AI to scalable and reliable platform engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed