Engineering Manager

The Position

We are looking for an Engineering Manager with the experience to lead a team through a phase of rapid change. This is a hands-on, technically-centric leadership role — not a pure people-management position — with full accountability for the engineering of the MetaDefender Email Gateway Security: architecture, delivery, quality, and the team that builds it.

You will have extensive experience of working within and defining an AI-Powered Software Development Lifecycle (SDLC). Product Management defines what to ship; you define how to build it. You own the end-to-end delivery of the roadmap Product Management sets, hold the delivery bar, and with the support of the Director of Engineering build a high-performance culture the rest of OPSWAT’s engineering portfolio will look to as a model for AI-native development. You report to the Director of Engineering and lead a team in Hungary. This is a majority office-based role, located at our Veszprém office.

The Product: MetaDefender Email Gateway Security

MetaDefender Email Gateway Security is OPSWAT’s on-premises email security solution, trusted by governments and critical infrastructure operators to stop file-borne and email-borne threats before they reach the inbox. It is deployed worldwide to protect critical infrastructure from email borne threats before they reach end-users’ inboxes. Using the full suite of OPSWAT technologies, Email Gateway Security embodies our promise to provide consistent protection against file-based threats that a detection first strategy cannot.

This role will manage a team in Hungary responsible for the product and collaborate with teams developing other email security products at our Romanian office and worldwide.

What You Will be Doing

• Lead as an AI-first effort: make AI agents a first-class part of how the team works — orchestrating agents to create specs, generate code and tests, verify results, and run reviews — while ensuring humans own and validate every line that ships. Treat automation and intelligence as the default, not the exception.

• Be hands-on: remain directly in the codebase — writing and reviewing critical code, prototyping, and helping the team unblock hard technical problems. You lead not just by delegating but also by doing.

• Own day-to-day delivery of the roadmap: take full ownership of delivering the product roadmap set by Product Management — helping turning the “what to ship” into the “how to build,” and owning execution sequencing, technical risk, quality, security, and release across Email Gateway Security.

• Build and lead a high-performance team: Assist the Director of Engineering to recruit, develop, and retain top engineers in Hungary; create clear career paths and norms for code quality and review; and build a culture where strong engineers want to stay and grow.

• Hold a security-first quality bar: ensure that security related AI risks are mitigated and that human review remains at the heart of the development process.

• Raise engineering velocity: continuously improve how your team works — CI/CD pipelines, AI-assisted development workflows, so the team ships faster and more reliably over time.

• Partner cross-functionally: work shoulder-to-shoulder with the Director of Engineering and the Product Management team, Design, and security leaders — turning the product roadmap (the what) into engineering execution (the how), committing to scope and timelines, and pushing back clearly when trade-offs require it.

What We Need from You

• Full agentic development experience: you have personally worked in a team that runs a full agentic, AI-powered SDLC end to end — and have done so in B2B and enterprise environments where compliance, data sensitivity, and assurance requirements are non-negotiable. You can show real work (PRs, commit history, shipped products, or a portfolio) where agentic workflows drove delivery — not slideware about AI.

• Drive technical ownership and execution: Actively mentor the team to make independent technical decisions and maintain delivery velocity. Your goal is to build a culture where engineers proactively identify problems and propose solutions without relying on top-down directives.

• Proven engineering leadership: 5+ years of software engineering experience and 3+ years leading engineering teams as a team lead or similar through complex product delivery at scale.

• Deep technical excellence: strong, current software engineering fundamentals — solid command of design patterns, SOLID principles, and modern architecture. You can evaluate AI-assisted code with the same rigor as human-authored code. AI tools amplify strong fundamentals; they do not replace them.

• Experience building on-premises deployed products: The team you will lead works mostly on software deployed on premise. You will be comfortable with the specific requirements that this brings.

• Quality and test discipline: a high bar for tested, maintainable code; using AI

It Would be Nice if You Had

• Domain familiarity: understanding of email as a communication channel and the underlying technology and protocols. Appreciation of the different deployment methods for email security and their characteristics.

• Cloud services familiarity: experience of integrating products with M365 and/or Google Workspace and their associated API ecosystems

• .NET / C# ecosystem: hands-on or managerial experience with .NET Core / C# — enough to evaluate architectural decisions, review PRs credibly, and hire well for the stack.

• AI context-file authoring: experience writing AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.

• AI in CI/CD pipelines: familiarity running AI agents inside pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps — not as experiments, but as how the team actually works.

Why You’ll Love Working Here

• Lead a product trusted by critical infrastructure customers across air-gapped, cross-domain, internet-connected, and native-cloud deployments — the architecture and culture decisions you make now will shape it for years.

• Stable, growing international company with an exceptional customer base across 50+ countries.

• A mandate to build AI-native engineering practices — and the latitude to do it your way.

• Attractive compensation with regular performance assessments and flexibility for the right candidate.