Senior Manager, Software Engineering - AI Developer Productivity (Dev Agents and SRE AI)

Role overview

Lead the engineering effort behind AI tools that support software development and production incident response across an R&D organization. You will shape the direction of developer agents and an incident-response agent, while building the infrastructure and trust needed to expand their use. This is a hands-on leadership role managing a team of five to ten experienced engineers and working directly with engineering leaders and users.

Responsibilities

- Set priorities and choose experiments for agent infrastructure, including gateways, internal tools, managed skills, and cloud-based execution. - Decide when to build capabilities internally, integrate external tools, or purchase solutions as models and costs evolve. - Expand the incident-response agent from current production use toward broader team adoption, increasing confidence in actions such as severity escalation and rollbacks. - Work directly with R&D leaders and developers to identify needs and deliver improvements without relying on a predefined product roadmap. - Track and reduce the cost of engineering output, including model usage and infrastructure per pull request. - Manage, hire, and develop a team of senior engineers, setting clear priorities and supporting an inclusive, high-performing culture.

Requirements

- At least 8 years of software engineering experience and 5 years of people management experience. - Experience leading a team of roughly six to ten engineers, including senior and staff-level contributors. - Hands-on experience building with current AI tools or agent systems, professionally or independently. - Ability to establish direction where no established playbook exists, working directly with users and leaders. - Bachelor’s or master’s degree in computer science or another technical field.

Nice to have

- Background in developer productivity, agentic AI, incident response, or on-call tooling. - Systems-level approach to designing experiments, familiarity with leading AI development, and understanding of model and infrastructure costs. - A master’s or doctoral degree in a related technical field.

Benefits and work setup

Remote role open to candidates in North America. The position leads work across the software development lifecycle and emphasizes experimentation; the incident-response agent is already used in production by multiple teams.