Engineering Manager, Go-to-Market Systems

Summary

Join Stripe's Demand Generation Systems team as a leader, building and managing a high-performing engineering team. You will own systems powering go-to-market motions, building tools to identify needs for human-assisted customer experiences, codifying workflows, leveraging AI/ML for acceleration, and building observability for optimization. Collaborate with product, program, and business leaders to develop and execute a scalable marketing systems strategy. Adapt to evolving team, business, and user demands. Design and build tools for both internal and external users, ensuring scalability and reliability. Improve engineering standards and processes. This role requires significant software engineering and management experience.

Requirements

• 7+ years of software engineering experience, including at least 3+ years of management experience
• Organizational leadership experience, including experience collaborating with executive leadership
• Experience proactively seeking feedback from users, business leaders, and subject matter experts
• Excellent verbal and written communication

Responsibilities

• Work closely with product, program and business leaders to develop a long term vision and execute on marketing systems strategy that scales marketing motions
• Adapt prioritization and staffing decisions as the team, business, and user demands progress
• Design and build delightful Stripe facing tooling and business critical services for seller tooling
• Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
• Improve engineering standards, tooling, and processes
• Build, lead, and manage a high-performing team of engineers

Preferred Qualifications

• Experience in Go-To-Market technology domain where you are directly responsible for building on GTM platforms(like Salesforce), integrating with other GTM systems and building internal GTM products that contribute to the demand generation tech stack
• Experience with machine learning, recommender systems, product-led growth, and/or lifecycle marketing
• Experience developing/shaping internally and externally facing products
• Experience building distributed systems or a microservices architecture
• Bachelors or Masters degree in a technical field (e.g., Computer Science)