About Protect AI

Protect AI is shaping, defining, and innovating a new category within cybersecurity around the risk and security of AI/ML. Our ML Security Platform enables customers to see, know, and manage security risks to defend against unique AI security threats, and embrace MLSecOps for a safer AI-powered world. This includes a broad set of capabilities including AI supply chain security, Auditable Bill of Materials for AI, ML model scanning, signing, attestation and LLM Security.

Join our team to help us solve this critical need of protecting AI!

Role

Protect AI is seeking a Software Engineering Manager to join our growing Engineering team. Our engineering team builds and operates the 'Protect AI Platform', covering everything from AI supply chain security and ML Model Scanning to LLM Security. As a Software Engineering Manager, you will lead a team of talented engineers, foster a culture of innovation and collaboration, and drive the development of our cutting-edge products. You will work closely with Product Managers, Architects, and our CTO to ensure the successful delivery of our platform.

Responsibilities:

  • Lead and manage a team of software engineers, providing guidance, mentorship, and support to ensure their growth and success

  • Collaborate with cross-functional teams, including Product Managers and Architects, to understand requirements and develop effective solutions

  • Drive the development and implementation of best DevSecOps practices in software engineering including but not limited to measuring and improving DORA metrics

  • Foster a culture of continuous improvement, encouraging innovation and experimentation within your team

  • Actively contribute to the technical vision and roadmap of the Protect AI Platform

  • Ensure the timely delivery of high-quality software that meets the needs of our customers and stakeholders

  • Manage the performance and professional development of your team members, providing regular feedback and conducting performance reviews

Qualifications:

  • Significant experience (6+ years) in software engineering, with at least 2 years of experience in a management role

  • Strong technical background in cloud-native infrastructure and Kubernetes

  • Expertise in modern programming languages such as Python, Go, Java, TypeScript

  • Experience with DevSecOps best practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools like Terraform or AWS CDK/CloudFormation

  • Excellent leadership and communication skills, with the ability to inspire and motivate teams

  • Strong problem-solving skills and the ability to make data-driven decisions

  • Experience with ML/MLOps and AppSec is a plus

  • Excited about working in an agile and fast-paced environment

What We Offer:

  • An exciting, collaborative work environment in a fast-growing startup.

  • Competitive salary and benefits package.

  • Excellent medical, dental and vision insurance.

  • Opportunities for professional growth and development.

  • A culture that values innovation, accountability, and teamwork.

  • Opportunities to present work at major conferences and on Protect AI channels such as our blog and MLSecOps community.

  • Work with a team of talented and well-accomplished peers from AWS, Microsoft and Oracle Cloud.

  • Work with best in class tools — M2 Macbook Pro, 34” Monitor, modern tech stack and high quality collaboration tools.

  • No bureaucracy and legacy systems. You are empowered to innovate and do your best work.

  • Incredible downtown Seattle office with 180 degree views of the Puget Sound and high quality video conference systems.

  • Weekly lunch at the office and weekly delivery credits for food delivery services.

  • Complimentary gym access, secure bike parking on-premise and Orca pass.

Protect AI is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Salary

$120,000 - $180,000

Yearly based

Location

Seattle HQ

Job Overview
Job Posted:
5 months ago
Job Expires:
Job Type
Full Time

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