Manager II, Software Engineering

Summary

Join Toast's Payments/Fintech team as an Engineering Manager II and lead the Payments Transactions team. Guide and develop engineers, design and maintain scalable architecture, ensure high-quality team output, and champion AI tools. The ideal candidate has 3+ years of experience leading software engineering teams in a SaaS environment, proven people management skills, excellent communication, and a growth mindset. Experience in Fintech/SaaS/transaction processing and applying AI to software development is a plus. Toast offers competitive compensation and benefits, including a hybrid work model. The salary range is $155,000-$248,000 USD.

Requirements

• 3+ years of proven experience leading and managing software engineering teams with a track record of shipping reliable, scalable applications in a SaaS environment
• Prior people and performance management experience
• Excellent cross-team communication skills on complex technical topics
• Growth mindset with an emphasis on learning and self/team-improvement
• Respectful, empathetic, and humble
• Focused on getting the right things done

Responsibilities

• Guide the growth and development of engineers with mentoring, coaching and career development, while also learning from their diverse experiences
• Design, build and maintain highly resilient, flexible and scalable architecture by collaborating closely with PM and rest of your team
• Ensure team makes solid technical decisions and team output is high quality
• Review code to ensure technical implementation meets functional requirements
• Champion the use of AI tools and practices to accelerate development, improve team velocity, and pioneer new ways of building - setting the bar for what it means to be an AI-first engineering organization

Preferred Qualifications

• Experience in Fintech/SaaS/transaction processing, a plus but definitely not necessary
• Experience applying AI to enhance software development processes and help deliver value faster for customers. This includes familiarity with tools for AI-powered code assistance (like intelligent code generation and error detection), automated testing, and smart documentation, with a keen interest in leveraging AI to streamline workflows

Benefits

• Competitive compensation and benefits programs
• Hybrid work model