Senior Fullstack Software Engineer, Risk

Vanta helps businesses earn and prove trust through continuous security monitoring and verification. The Senior Fullstack Software Engineer will lead end-to-end product engineering for the Risk pillar, building secure, reliable, and customer-facing systems across the stack. The role involves shaping AI-powered workflows, interpreting connected business data, and partnering with product, design, and engineering teams to deliver scalable solutions.

Responsibilities:

• Identify, scope, and lead large technical projects, laying the groundwork for core products to evolve and scale into highly performant, reliable, and customizable systems
• Own customer-facing product experiences from understanding the user problem and shaping the solution through implementation, launch, measurement, and iteration
• Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation
• Build reliable, secure systems that connect and interpret data across people, agents, assets, controls, vendors, and other critical business context
• Partner with product, design, domain experts, and other engineers to bring AI-powered workflows from exploration to production, with a high bar for quality, explainability, and customer trust
• Use AI thoughtfully throughout the development lifecycle to prototype, build, test, and learn faster, while maintaining a high bar for quality, security, and maintainability
• Work with talented and kind engineers to make a significant impact on our customer base, enabling them to improve their security and prove it
• Lead complex projects with multiple stakeholders and engineers to deliver significant impact to our business
• Set direction for critical technical surface areas, enabling us to stay ahead of continued rapid growth
• Contribute to building Vanta’s engineering culture as we grow

Requirements:

• Have 7+ years of full stack experience with an emphasis on backend skills
• Have played technical leadership roles for teams or complex projects
• Have strong communication and collaboration skills
• Have experience building user-facing SaaS products, ideally both for startups and enterprise users
• Have previous startup experience, or worked in an environment that prioritizes a bias for action
• Have experience building 0→1 products as well as solving large scale problems
• Have an interest in learning about security, risk, privacy, or AI governance, or prior experience in one or more of these spaces
• Experience with TypeScript and Go is a plus
• Experience building AI-powered product experiences, evaluating AI quality, or using modern AI development tools is also valuable, but not required