Remote Engineering Manager — AI-Powered Performance & Quality

SailPoint Technologies Holdings, Inc.; United States; Remote; USD 141,000 - 237,000; Full time

Benefits offered by this job

Competitive compensation

Flexible time off

Comprehensive healthcare

Job summary

SailPoint Technologies Holdings, Inc. is seeking a Software Engineering Manager for the All SaaS Performance and Quality Frameworks portfolio in the United States.

You will lead a team focused on performance engineering and shared functional testing frameworks that scale across product squads. You will drive AI-powered tooling adoption (Cursor, Claude Code) to accelerate test creation, feedback loops, and framework maintenance while ensuring reliability and self-service access for engineers.

Qualifications

• 2+ years in an engineering leadership role.
• 8+ years hands-on as a performance or software engineer.
• Bachelor’s degree or equivalent work experience.
• Proven ability to architect and maintain shared testing frameworks.
• Experience using AI-assisted development tools to improve efficiency.

Responsibilities

• Lead the All SaaS Performance and Quality Frameworks portfolio and teams.
• Define strategy, roadmap, reliability, and self-service for shared testing tools.
• Drive AI-powered test creation, execution, maintenance, and analysis.
• Collaborate with product, design, QA, DevOps, and customer teams.
• Monitor adoption, reliability, and cycle time improvements; mentor engineers.

Skills

Engineering leadership

Performance engineering

AI tooling

Python

Cursor

Claude Code

Docker

Kubernetes

AWS

Agile methodologies

Education

Bachelor’s degree in related field

Tools

Cursor

Claude Code

Docker

Kubernetes

AWS

Job description

SailPoint Technologies Holdings, Inc. is seeking a Software Engineering Manager for the All SaaS Performance and Quality Frameworks portfolio in the United States.

You will lead a team focused on performance engineering and shared functional testing frameworks that scale across product squads. You will drive AI-powered tooling adoption (Cursor, Claude Code) to accelerate test creation, feedback loops, and framework maintenance while ensuring reliability and self-service access for engineers.