Developer Productivity & Tooling

• Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards

• Coordinate large-scale migrations and platform modernization efforts across engineering teams

• Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements

• Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering

Infrastructure Reliability & Operations

• Drive programs to establish and achieve reliability targets across training infrastructure and production services

• Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively

• Establish metrics and dashboards to track infrastructure health, capacity utilisation, and operational excellence

Cross-functional Coordination

• Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences

• Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development

• Drive alignment on priorities and timelines across teams with competing constraints

You'll be a good fit if you have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems. You'll also need a deep technical understanding of infrastructure systems, strong stakeholder management skills, and the ability to navigate competing priorities-confirming data-driven technical decisions.

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Engineering Manager, Developer Productivity AI

About the Role

We are seeking a hands-on Engineering Manager to lead a team of high-agency engineers in accelerating Stripe's engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow.

Responsibilities

• Lead a senior, cross-continent team of engineers to move rapidly to deploy and exploit the latest in AI devtools.
• Deliver compelling user and product experiences for internal users.
• Work across the company to redefine how software engineers at Stripe work.
• Keep up with an incredibly fast-paced technology environment.
• Dig deep into the data on how engineers use AI tools to seek out every bit of benefit, and help Stripe accelerate.

Requirements

• 2+ years managing high-performing engineering teams, and at least 5+ years of experience as a software engineer.
• Proven success in recruiting and building great teams.
• A repeated history of delivering great, innovative product experiences - either for internal or external users.
• Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
• Thrives with high autonomy and responsibility in an ambiguous environment.
• Ability to foster a healthy, inclusive, challenging, and supportive work environment.

Preferred Qualifications

• Experience tech leading, mentoring, and managing a team that shipped products to engineers.
• Experience building tools and products, ideally for technical audiences - either as internal or external customers.
• Deep curiosity and opinionation about the use of AI in software engineering.
• Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.

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