Vanta is dedicated to helping businesses earn and prove trust through continuous security monitoring. As a Senior Software Engineer on the Monetization Platform team, you will lead complex projects, provide technical direction, and collaborate with various teams to build an enterprise-grade revenue and entitlement platform that supports Vanta's growth and operational efficiency.
Responsibilities:
- Lead complex projects with multiple stakeholders and engineers to enable our business and team to scale
- Provide technical direction for key monetization initiatives
- Collaborate with GTM and Finance teams to ensure alignment between engineering systems and business needs
- Support design reviews, communicate constraints, and help engineers make the right trade-offs
- Act as a cultural beacon, setting an example for effective, collaborative engineering and helping mentor junior team members
- Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation
- Drive initiatives to increase operational posture and execution quality across the engineering organization
Requirements:
- Have at least 8 years of industry experience with backend development
- Experience with event-driven architecture and distributed systems
- Strong background integrating with external APIs and services
- Experience building platform services used by multiple teams
- Strong data modeling skills for systems requiring transactional consistency
- Knowledge of billing systems, payment processing, or subscription management
- Understanding of financial data security and integrity requirements
- Have led meaningful technical projects from concept to completion
- Work well in environments that value decisive action and getting things done
- Ability to collaborate effectively with partners in Finance and Sales
- Interest in contributing to Vanta's engineering culture as we grow
- Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact