Software Engineering Manager, Performance and Quality Frameworks

SailPoint

13d•$140,500 - $236,826•Remote

About The Position

As the Software Engineering Manager for our All SaaS Performance and Quality Frameworks portfolio, you will lead a group responsible for some of the most crucial aspects of our SailPoint Engineering Quality Platform: performance engineering and the shared functional testing frameworks that enable consistent, scalable product validation. As a highly technical and forward-thinking leader, you will solve complex challenges around scalability and reliability while driving the architecture, expansion, and maintenance of reusable functional testing capabilities. You will pioneer the use of AI-powered tools such as Cursor and Claude Code to accelerate development, test creation, framework maintenance, result analysis, and the optimization of load, performance, and functional testing workflows. You will own the strategy, roadmap, reliability, documentation, adoption, and self-service experience for shared functional testing frameworks. Product engineering teams will continue to own the tests for the features they deliver, while your portfolio provides the reusable capabilities, standards, and enablement that help them test with confidence. Stakeholder management is a significant aspect of this role; you will work closely with Product Managers, Designers, Architects, Quality, DevOps, Product Engineering, and Customer Facing teams to drive a culture of performance, quality, and innovation. The All SaaS Performance and Quality Frameworks team builds and scales the core infrastructure, performance engineering platforms, and shared functional testing frameworks utilized across all SailPoint engineering teams. We focus on developer productivity, reliability at enterprise scale, and enabling engineering squads to deliver high-quality, high-velocity SaaS products through self-service capabilities and cutting-edge AI-assisted workflows.

Requirements

Must be a US citizen as is required by FedRAMP standards.
2+ years of experience in an engineering leadership role.
8+ years of hands-on experience as a performance or software engineer.
Bachelor's degree in related field or equivalent work experience.
Proven hands-on experience architecting, expanding, and maintaining shared functional testing frameworks, libraries, or services used by multiple product teams.
Mandatory ability to pursue, measure, and optimize the portfolio’s use of AI tooling and drive a measurable reduction in engineering and test-development cycle time for product features that engage the performance team or shared testing frameworks.
Mandatory ability to build strong human connections with external teams to encourage self-service, drive adoption of shared testing frameworks, and secure dedicated time for hands-on load, stress, and performance testing of end-to-end product functionality.
Proven experience leveraging AI-assisted development tools (e.g., Cursor, Claude Code) to write, debug, maintain, and optimize complex code.
Demonstrated ability to select the right AI model and agent to solve specific engineering problems, with a focus on improving team efficiency and test coverage.
Passion for high-performance, high-load SaaS solutions, reliable functional testing infrastructure, and best practices in performant and testable design.
Experience architecting, developing, and supporting highly distributed, scalable, and available systems in a public cloud environment (preferably AWS).
Deep knowledge of microservice architecture, containerized CI/CD (Docker, Kubernetes), and agile methodologies.
Experience using evidence such as framework adoption, reliability and flakiness, test-development cycle time, coverage, and support burden to prioritize improvements.
Excellent technical documentation and communication skills, with an emphasis on creating documentation that is both human-friendly and easily consumable by frontier model LLMs.
Effective leadership, mentoring, and project management abilities.
Comfort with prompting, agentic workflows, and human-in-the-loop review of AI-generated code is a baseline expectation for this role.

Nice To Haves

AI related Technology: Cursor, Claude Code
Python-based AI/ML frameworks and libraries such as scikit-learn, pandas, and numpy
Deep Learning Frameworks such as PyTorch
LLMs and Foundation Models in Bedrock, VertexAI, or similar

Responsibilities

Lead a group responsible for performance engineering and shared functional testing frameworks.
Solve complex challenges around scalability and reliability.
Drive the architecture, expansion, and maintenance of reusable functional testing capabilities.
Pioneer the use of AI-powered tools (Cursor, Claude Code) to accelerate development, test creation, framework maintenance, result analysis, and optimization of testing workflows.
Own the strategy, roadmap, reliability, documentation, adoption, and self-service experience for shared functional testing frameworks.
Work closely with Product Managers, Designers, Architects, Quality, DevOps, Product Engineering, and Customer Facing teams.
Build and scale core infrastructure, performance engineering platforms, and shared functional testing frameworks.
Focus on developer productivity, reliability at enterprise scale, and enabling engineering squads.
Motivate, encourage, and challenge the team to explore and implement innovative, internal AI-driven solutions.
Initiate pilot projects using AI tools to demonstrate measurable improvements.
Actively participate in technical decision-making, challenging the team to find more optimal and scalable solutions.
Establish a prioritized roadmap for framework expansion, reliability, documentation, and self-service.
Establish regular syncs with stakeholders and develop a long-term strategy for scaling testing capabilities.
Ensure team is successfully using AI-powered tools to proactively identify performance bottlenecks, improve functional testing capabilities, reduce technical debt, and deliver actionable insights.
Expand shared functional testing frameworks to prioritized use cases.
Ensure the team is consistently delivering on its commitments and balancing new capabilities with defect resolution.
Attract and motivate excellent engineers passionate about building great software and testing platforms with AI.
Ensure AI tooling is deeply integrated into daily workflows for performance testing, optimization, and functional framework development and maintenance.
Align team size and skills with a forward-looking roadmap that leverages AI for business results.
Consistently use data to measure impact and optimize engineering processes.
Foster a culture of continuous learning and coach engineers in performance engineering, functional testing framework engineering, and AI application.
Enable product teams to own their feature tests through effective self-service.

Benefits

Competitive Compensation
Flexible Time Off: Trust-based vacation policies alongside paid company holidays to help you recharge.
Comprehensive Healthcare: Premium medical, dental, and vision insurance options
Career Growth Opportunities
Health and wellness coverage: Medical, dental, and vision insurance
Disability coverage: Short-term and long-term disability
Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
Additional life coverage options: Supplemental life insurance for employees, spouses, and children
Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
Financial security: 401(k) Savings and Investment Plan with company matching
Time off benefits: Flexible vacation policy
Holidays: 8 paid holidays annually
Sick leave
Parental support: Paid parental leave
Employee Assistance Program (EAP) and Care Counselors
Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
Health Savings Account (HSA) with employer contribution