Senior Engineering Manager, AI Developer Productivity (Remote - North America)

This is a new leadership role at a recently public company that builds software for organizations running physical operations, such as construction, transportation and field services. You will lead the company's AI efforts across the software development lifecycle, covering two existing efforts: internal developer agent infrastructure and an AI agent that performs first-line incident response for on-call engineers. The role is hands-on, works without a product manager, and is focused on measurable gains in developer output and cost.

What you'll do

• Lead the Dev Agents and SRE AI efforts and set priorities for what comes next
• Direct experiments on agent infrastructure, including internal tool servers, shared skills and cloud execution runners
• Make build, integrate or buy decisions across AI model vendors as models and prices change
• Expand the AI incident responder from two teams to every engineering team, and build the trust needed for it to take more automated actions
• Track and reduce cost per pull request, including model token spend and infrastructure
• Hire, develop and manage a team of five to 10 senior and staff-level engineers, and work directly with R&D leaders and the developers who use these tools

What you need

• 8+ years of software engineering experience and 5+ years of people management experience
• Has led a team of roughly six to 10 engineers, including senior and staff-level engineers
• Has built something with current AI tools or agents, at work or personally
• Has set technical direction in an area with no established playbook
• Strong cost awareness for AI token usage and cloud infrastructure
• BS or MS in Computer Science or another technical field; must be based in North America

Applicants must be based in: United States, Canada, Mexico, Brazil.

How to apply

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