Software Engineering Manager, Performance and Quality Frameworks

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineering Manager, Performance and Quality Frameworks based in United States. This role leads a highly technical engineering team responsible for performance engineering and shared functional testing frameworks used across a SaaS engineering organization. You will shape the strategy, architecture, roadmap, reliability, and adoption of reusable testing capabilities that help product teams deliver scalable, high-quality software. The position combines engineering leadership with hands-on technical direction across performance, scalability, reliability, and test automation. A major focus will be using AI-assisted engineering tools to accelerate development, testing, maintenance, analysis, and optimization. You will partner with Product, Architecture, Quality, DevOps, Engineering, and customer-facing teams to establish strong self-service testing practices. The role offers significant scope to influence engineering productivity, technical quality, and the evolution of testing capabilities at enterprise scale.

Responsibilities

• Lead the team responsible for performance engineering infrastructure and shared functional testing frameworks, establishing strategy, architecture, roadmap, reliability standards, documentation, adoption, and self-service capabilities.
• Evaluate and improve the performance testing toolchain and shared testing frameworks, establishing measurable baselines for adoption, reliability, flakiness, test-development cycle time, coverage, and support burden.
• Lead the adoption of AI-assisted engineering tools to accelerate performance script development, functional framework development and maintenance, test creation, execution, optimization, and analysis.
• Identify opportunities to apply AI and agentic workflows to complex engineering and testing challenges, while ensuring strong engineering judgment, validation, and human oversight of AI-generated work.
• Develop and maintain a prioritized roadmap for framework expansion, reliability, documentation, self-service, and technical debt reduction.
• Partner with Product Managers, Designers, Architects, Quality, DevOps, Product Engineering, and Customer Facing teams to understand business and product needs and establish effective testing strategies.
• Build strong relationships with product engineering teams to encourage self-service adoption of shared frameworks and secure appropriate investment in load, stress, performance, and end-to-end testing.
• Ensure a clear division of responsibilities between shared testing framework ownership and product-team ownership of feature-specific tests.
• Use quantitative evidence, including adoption, reliability, flakiness, development cycle time, coverage, support burden, and AI-generated insights, to measure impact and guide engineering priorities.
• Lead, mentor, and develop engineers, creating an environment focused on continuous learning, technical excellence, innovation, and effective collaboration.
• Ensure the team balances delivery