About the Iris AI Team:

Iris AI powers the AI-driven capabilities of the Delinea Platform. The team uses LLMs to detect

anomalies in audit data, enhance authorization decisions, and deploy intelligent agents that deliver

measurable results for some of the world's largest organizations. The work is new, fast-moving, and

sits at the intersection of identity security and applied AI.

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.

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.

For this Job, Delinea is not considering candidates that need any type of US work authorization now or in the future. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, L-1, J1, etc.