Head of Engineering

Boston, Massachusetts, USFull-timePosted Oct 15, 2026

Job description

Who are we? Led by MIT CSAIL professors and built on a decade of their research, Sagora is the autonomous engineering platform for AI systems. We compress weeks of expert engineering into hours, continuously improving the performance, cost and quality of customers’ AI models, pipelines and inference. Our agents do what expert engineers do: diagnose problems, form hypotheses, run experiments and ship validated, production-ready code.

You’ll build alongside the founders and recent Ph. Ds from their lab. We’re backed by $13.5M in seed funding and engineering leaders including Jeff Dean and Ion Stoica, and we’re already in production at multiple S&P 500 companies. We’re headquartered in Boston.

About the Role

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 Sagora's co-founder and CEO playing a pivotal role in shaping Sagora's’s technical and organizational future.

Responsibilities

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. Desired Expertise and Experience Systems intuition: You have a deep understanding of the entire stack, from model code and serving frameworks (Triton, vLLM) to distributed systems to hardware-specific runtime configurations.

Robust agentic AI systems: You have experience with agentic AI and a strong desire to build these systems using software and systems engineering principles. Leadership depth: 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.

Technical Excellence 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., Py. Torch). Expertise in or experience with agentic AI systems. Experience with heterogeneous hardware environments and AI/ML pipelines.

Mission-driven: You believe AI is the ultimate collaborator for discovering new ideas in AI-driven systems and are excited to contribute to this mission. Why Join Sagora? Strong pedigree: Work alongside a team of renowned experts in AI-driven systems. Massive impact: Our technology delivers significant improvements in long-running engineering research and design tasks, spanning performance engineering, model pipeline development and efficiency.

Robust financials: Our $13.5M seed round closed in September 2025. We’re backed by top-tier VC firms (Pillar, E14 and Neotribe) and luminaries including Jeff Dean, Ion Stoica, Aparna Chennapragada, Nick Mc. Keown and Srinivas Narayanan. We’re in production at multiple S&P 500 companies and running paid proofs of value with more.

Solving hard problems: We’re solving the fundamental bottlenecks of the AI revolution: performance, cost and quality.

Description copied from Glia AI's careers page. Read the full posting before you apply.

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