AI Platform Engineering Manager
Summary
The AI Platform Engineering Manager will lead a team in developing an agentic AI platform for email security, focusing on architecture, developer experience, and high-scale microservices. The role involves mentoring engineers and collaborating with DevOps to build AI agents, harnesses, and infrastructure to prevent phishing attacks.
IRONSCALES is redefining email security with an AI-powered platform built to stop phishing and advanced email cyber threats at scale. Our cloud-native solution detects, analyzes, and remediates attacks in real time, helping organizations stay ahead of constantly evolving cyber threats without slowing down their teams. We're a fast-growing cybersecurity company driven by innovation, ownership, and a passion for solving hard problems. Our team builds cutting-edge technology used by organizations around the world to protect what matters most.
If you love building impactful products, solving complex challenges, and working with smart, driven people in a fast-paced startup environment. IRONSCALES is the place for you. Join us and help shape the future of email security 🚀
As our AI Platform Engineering Manager, you will have a unique opportunity to make an impact on IRONSCALES’ new Agentic Development Life Cycle – taking it from design, to architecture, DevX, velocity improvements, top quality, and highly performant Cybersecurity product built to prevent Phishing attacks at scale.
Responsibilities:
• Lead the AI Platform development team at IRONSCALES, mentoring team members and AI Guild engineers while owning the next-generation architecture for a large-scale, cloud-based, AI-driven microservices cybersecurity platform.
• Collaborate with Development and DevOps teams to plan, design, and build AI platform and AI Harnesses, Agents, Skills, MCPs, and plugins, develop infrastructure components and processes for fast-paced agentic development, ensure the best DevX to enable engineers to deliver fast while ensuring high quality, robust, and secure platform.
• Design and review system architecture, introduce best practices, incorporate AI agents, tools, and infrastructure components, review feature designs.
• Mentor, hire, and inspire a team to adopt engineering excellence, build on-boarding plans for backend engineers.
• Be a subject matter expert on AI architecture, and System architecture, working with agents and LLMs, large scale performance, and optimization.
• Master AI Platform roadmap, identify opportunities and requirements, build plans, and lead to successful delivery; measure, improve, and communicate effectively risks and mitigations.
Requirements
Must Haves:
• 3+ years of Infrastructure or Platform Team management experience, people management - must.
• Proven experience in AI Driven Software Engineering, agentic development lifecycle, building skills, MCPs, and AI agents.
• Experienced in planning and leading projects in Agile manner, pragmatic, business-oriented, and team player.
• Experienced with modern Cloud and software stack, CI/CD, DevX, Micro-Services architecture, Kubernetes, high scale and low latency processing.
• 8+ years of backend development experience, including at least 2 years in Python.
• Experienced with message brokers, synchronous and asynchronous processing, relational and non-relational databases.
• BSc or BA in Computer Science or Software Engineering.