Glow is on a mission to transform how enterprises proactively protect the modern endpoint with an agentic-first approach. Our platform gives security teams the visibility, context, and autonomous remediation they've never had before — across every endpoint, application, and AI tool in the environment. We move fast, we build things that matter, and we believe security should be a force multiplier for the business, not a bottleneck. Let's Glow.
About The RoleAs an AI Engineer at Glow, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive Glow's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.
This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.
WHAT YOU’LL DO
End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.
Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.
Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline—utilizing clustering, text extraction, document analysis, and tabular data classification.
Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.
Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.
WHAT YOU’LL BRING
Agentic Expertise: Deep experience with LLMs and the modern agentic stack (LangGraph, AutoGPT patterns, tool-calling, and orchestration). You understand how to guide an LLM through complex, multi-step tasks.
The "Full-Stack" DS Mindset: You are a coder first. You are comfortable digging into a large codebase, understanding backend services, and writing production-grade code. You don't wait for someone else to "fix the API."
Product-Driven Research: You are obsessed with impact. You choose the right tool for the job—whether it’s a simple heuristic or a complex fine-tuned model—based on what provides the most value to the user.
Data & System Fluency: Strong experience with Python and SQL. You understand how to interface with Postgres and ClickHouse to build the data-rich contexts our agents require.
Engineering Rigor: You care about version control, testing, and CI/CD. You treat your prompts and model configurations with the same engineering discipline as code.
The Glow Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.
Education: Bachelor’s or Master’s degree in CS, Math, Statistics, or equivalent practical experience in a high-growth AI environment.
Communication: Full professional fluency in both Hebrew and English.
At Glow, we believe our greatest strength is our people. We're committed to building an inclusive workplace where every team member feels welcomed, respected, and empowered to do their best work. We know that diverse backgrounds, experiences, and perspectives make us stronger as a company and better partners to our customers.
Glow is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an environment free from discrimination and harassment. We make all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law.
Skills Required
- Deep experience with LLMs and modern agentic stack (LangGraph, AutoGPT patterns, tool-calling, orchestration)
- Production-grade AI systems: design, deploy, optimize, and monitor resilient high-throughput pipelines
- Implement diverse ML methods including clustering, text extraction, document analysis, and tabular classification
- Strong programming experience with Python
- Strong experience with SQL and interfacing with Postgres and ClickHouse
- Engineering rigor: version control, testing, and CI/CD practices
- Bachelor's or Master's degree in Computer Science, Math, Statistics, or equivalent practical experience
- Full professional fluency in Hebrew and English
- Product-driven, coder-first mindset capable of working across large codebases and backend services
What We Do
Glow is a San Francisco-based digital insurance agency and software company focused on small businesses. Its technology platform automates the insurance process, helping businesses purchase coverage more efficiently while providing an intelligent insurance platform. Founded in 2018, Glow combines insurance expertise with software and automation to modernize how commercial insurance is distributed and managed for small-business customers. The company aims to transform insurance by making protection more accessible and streamlined.



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