Senior Platform Engineering Manager, AI-Driven Delivery

Vectra AI; Austin (TX); On-site; USD 185,000 - 275,000; Full time

Benefits offered by this job

Health insurance

Stock options

Retirement savings plan

Wellbeing & time away

Job summary

Vectra AI in Austin, TX seeks a Senior Software Engineering Manager to lead one or more core platform teams that build essential infrastructure and tooling for our products. You will guide architecture discussions, oversee reliability, and foster cross-functional collaboration with Product, Security, and SRE to deliver scalable, secure systems.

The role emphasizes strong technical judgment, leadership experience, and a track record of delivering production-grade software at scale.

Qualifications

• 5+ years of engineering management or technical leadership experience, including ownership of production software, infrastructure, or platform systems.
• Experience leading teams that deliver reliable, secure, and scalable software.
• Strong technical judgment with the ability to discuss architecture, design, code quality, operations, and delivery tradeoffs.
• Experience with modern software engineering practices including code review, source control, CI/CD, automated testing, release management, and operational readiness.
• Strong Linux/Unix proficiency.
• Experience managing Agile delivery practices such as sprint planning, retrospectives, roadmap planning, and project visibility.
• Ability to lead cross-team initiatives with complex dependencies and ambiguous ownership boundaries.
• Strong communication, organizational, decision-making, and stakeholder management skills.
• Demonstrated ability to mentor, motivate, and grow engineers and technical leads.

Responsibilities

• Lead and grow one or more engineering teams responsible for foundational platform capabilities.
• Provide direct management, coaching, career development, and performance feedback for engineers and technical leads.
• Drive predictable delivery through clear planning, ownership, estimation, Jira hygiene, retrospectives, and consistent follow-through.
• Partner with Product Management and engineering leadership to define priorities, clarify requirements, and make thoughtful tradeoffs.
• Participate in architecture discussions and guide technical direction across platform systems.
• Own operational excellence for team-owned services, including reliability, security, incident response, observability, and root-cause follow-up.
• Improve platform services consumed by internal engineering teams and customer-facing products.
• Identify opportunities to improve engineering efficiency through AI-assisted development, automation, and better internal tooling.
• Encourage responsible use of AI tools for code understanding, test generation, documentation, operational analysis, and repetitive workflow automation.
• Partner with engineering leaders to evaluate where AI can reduce toil, improve delivery predictability, and help teams move faster without compromising quality, security, and maintainability.
• Ensure production deployments are fast, reliable, secure, and well-supported by automation.
• Help define and mature service ownership, operational scorecards, and platform standards across teams.
• Partner with recruiting to hire, onboard, and retain strong engineering talent.
• Communicate clearly with senior leaders about progress, risk, delivery health, and investment needs.

Skills

Leadership

Linux/Unix

Agile delivery

CI/CD

Communication

Mentoring

Tools

AWS

Azure

Kubernetes

Docker

Terraform

GitHub Actions

Jenkins

Packer

Job description

Vectra AI in Austin, TX seeks a Senior Software Engineering Manager to lead one or more core platform teams that build essential infrastructure and tooling for our products. You will guide architecture discussions, oversee reliability, and foster cross-functional collaboration with Product, Security, and SRE to deliver scalable, secure systems.

The role emphasizes strong technical judgment, leadership experience, and a track record of delivering production-grade software at scale.