Manager, Software Engineering (Iris AI Team) at Delinea

Summary

Delinea is seeking a Manager, Software Engineering to join the leadership of Iris AI. You will manage a team of senior engineers who build and operate the services behind Delinea's AI features: LLM inference, retrieval, tool calling, agents, and evaluation.

You will own a portion of the Iris AI roadmap and the engineers delivering it, hold a high bar for how LLM-powered features are built and verified, and grow a team that treats AI-assisted development as a core engineering discipline. You will report to the Director of Engineering, Iris AI.

Leadership Responsibilities

• • Lead, grow, and retain a team of software engineers within Iris AI, including hiring, coaching, 1:1s, performance reviews, and career development.
• • Translate product and engineering roadmaps into operational plans; own delivery, scope, and priorities for your team.
• • Partner with peer engineering managers, Product, UX, Architecture, and platform teams to align priorities and present results and recommendations.

What You'll Do

• • Manage day-to-day engineering for your team, balancing feature delivery, reliability, technical debt, and LLM cost and latency.
• • Help establish quality practices for non-deterministic systems across Iris AI: eval harnesses, regression testing for prompts and agents, and production monitoring of model behavior.
• • Ensure AI features meet Delinea's security and privacy standards, including tenant data isolation, defenses against prompt injection and tool misuse, and responsible handling of customer audit data.
• • Oversee code and design reviews to maintain a high bar for performance, security, and maintainability.
• • Own the team's operational health: infrastructure as code with Terraform, CI/CD, monitoring, on-call, and incident response.
• • Champion AI-first engineering. The team uses coding agents to design, write, and review code daily; help set the practices that hold that output to the same standard as hand-written code, and measure the impact.

What You'll Need

• • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• • 2+ years directly managing software engineering teams, with a strong hands-on engineering background.
• • 7+ years designing, building, and shipping enterprise software products to production.
• • Hands-on experience shipping products built on LLMs (inference, structured outputs, RAG, tool calling, or agents) using Azure AI Foundry, OpenAI API, Amazon Bedrock, Google Vertex AI, Anthropic API, or similar.
• • Fluency with AI-assisted development (Claude Code, GitHub Copilot, Cursor, or similar) and a clear point of view on running a team that uses it well: spec-driven development, careful context management, and verified, tested output.
• • Strong understanding of distributed systems, API design, microservices, and multi-tenant SaaS architecture, with experience on a major cloud provider (Azure preferred).
• • Proven ability to translate roadmaps into actionable plans, set priorities, and manage resourcing to meet deadlines.
• • Excellent communication and stakeholder management skills.

What We'd Love to See

• • Experience building tools, APIs, or integrations that AI agents call (MCP servers, function/tool-calling interfaces, plugins).
• • Expertise in Kubernetes, Terraform, and CI/CD pipelines.
• • Experience launching new teams or products in ambiguous, fast-changing environments.
• • Experience establishing AI-first engineering practices and measuring their impact.

Additional Notes

Delinea is not considering candidates that need any type of US work authorization now or in the future.