AI Engineering Manager

About this role

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Skills you'll use

What you'll do

• Five9 is a leading provider of cloud contact center software, bringing the power of Five9 AI and automation to organizations worldwide. The Enterprise-AI Team drives Five9's internal adoption of AI — turning emerging capability into real business outcomes across the company.
• The AI Engineering Manager leads the team that builds and operates Five9's internal AI solutions — the AI Automation Engineers who build solutions and automations, and the AI Platform Engineers who build and run the platform underneath them. This is a hands-on role: at least 30% of your time is spent building, reviewing, and unblocking work alongside the team, primarily in Claude — Claude Code and the Claude API / agent tooling.
• The rest is people leadership — managing performance, mentoring engineers, and guiding growth, while balancing delivery against the team's long-term technical health. You partner closely with the solutions architect on technical design, the program manager on roadmap and prioritization, and the enablement lead on adoption, so what the team builds ships, holds up in production, and reaches the people who need it.
• HOW YOU CONTRIBUTE
• Team leadership & people management — Lead, mentor, and develop the AI Automation and AI Platform Engineers; manage performance, run regular 1:1s, and guide career growth.
• Hands-on project work (30%+ of your time) — Personally build, review, and ship real project work alongside the team — solutions, automations, and platform tasks — primarily in Claude (Claude Code, the Claude API, and agent / MCP tooling).
• Technical excellence & standards — Drive best practices in Claude-based development, code review, and design quality; hold the team — and your own work — to the architect's standards.
• Delivery & roadmap execution — Partner with the program manager and business stakeholders to plan and sequence delivery; balance short-term commitments against long-term technical health.
• Cross-functional partnership — Work closely with the solutions architect on technical design, and with platform, security, and other engineering teams to keep the team's output integrated and secure.
• Quality, security & standards adherence — Ensure everything the team ships — including your own work — meets security, data-classification, and responsible-AI requirements.

Who can apply

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years in software or AI engineering, with 2+ years in a leadership role — including a track record of personally shipping production work, not only overseeing it.
• Demonstrated hands-on proficiency building with Claude — Claude Code and/or the Claude API / agent tooling — in a you-direct / AI-executes / you-verify working style.
• Hands-on cloud-native delivery fundamentals: Git, automated testing, CI / CD, and cloud deployment (Google Cloud preferred).
• Working fluency with the platform layer the team depends on: infrastructure-as-code (Terraform), containers / orchestration, and MLOps / LLMOps basics (model / agent serving, evaluation, versioning).
• Solid understanding of integration patterns, APIs, and data-management practices in cloud-deployed systems.
• Excellent communication skills, a strategic mindset, and the ability to collaborate across technical and business teams in a fast-paced environment.

About Five9

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