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As an Engineering Manager working on internal AI tooling, you will be responsible for helping keep $150b+ in payments, 150,000 companies, and our thousands of employees safe. You'll have the opportunity to partner with internal teams to help identify projects that can drive impact - like building internal automation tooling, owning our terabyte-scale log pipelines, and using AI to streamline how our team operates. We're not tied to specific projects, languages, and technology - we rely on smart people diving deep to find the best solutions to hard problems. You'll also be mentoring junior team members and continuing to grow our world-class engineering team.
Job Responsibility:
Manage and lead a team of engineers, providing technical direction, setting clear goals, and ensuring high-quality, timely delivery of AI-powered security tooling
Own team execution and delivery, including planning, prioritization, resourcing, and performance management while balancing hands-on technical leadership
Lead the development of AI tools and applications, from inception to implementation
Support incident response efforts by building ad-hoc tools for threat hunting, remediation and scanners
Build, monitor, and maintain underlying infrastructure, including Kubernetes clusters, serverless workloads, and ETL pipelines
Sit with engineers to identify opportunities for automation and tooling development
Partner with product engineering teams to drive security outcomes - such as automation for patching, and development of gateways and other services to decrease risk
Mentor and help grow other Software Engineers in the team
Requirements:
Prior experience leading or managing software engineering teams, including mentorship, career development, and performance feedback
Proven ability to translate business and security goals into execution plans, aligning roadmap, timelines, and engineering capacity
Bachelor’s degree in Computer Science, Information Security, or a related field
8+ years of experience as a Software Engineer
Experience with production code bases
Experience with at least one scripting language (e.g. Python) and one systems programming language (eg. Golang, C/C++)
Experience with modern cloud infrastructure, including data pipelines, serverless workloads, and Kubernetes
Proven experience working autonomously on projects - delivering them to a high quality and on time
Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders
Ability to dive deep to find the best solution to a problem
Obsessive curiosity and a willingness to ask questions, gather context, and learn
Nice to have:
Experience working in a high-growth tech company
Hands on experience with AI - specifically leveraging AI to build applications