Staff Software Engineer, GRC Products

Vanta is on a mission to help businesses earn and prove trust through continuous security monitoring. As a Staff Software Engineer, you will lead complex technical initiatives, drive strategic projects, and collaborate across teams to enhance Vanta's core product offerings in the Governance, Risk, and Compliance domain.

Responsibilities:

• Identify, scope, and lead large technical projects, laying the groundwork for building highly performant, reliable, and customizable systems with long-term impact
• Drive a portfolio of complex initiatives with a duration spanning multiple quarters, ensuring iterative and sustainable impact across product areas
• Rally cross-functional teams to drive initiatives to completion, even without direct management of team members
• Make strategic decisions that prioritize long-term success, while influencing Vanta’s technical direction alongside senior engineers and leadership
• Champion engineering excellence by continuously improving processes, methodologies, and technical practices across the organization
• Guide teams on tough technical decisions, balancing tradeoffs and resolving conflicts
• Address product, technical, and operational challenges with clear, impactful solutions
• Serve as a cultural leader, modeling collaborative behaviors and mentoring engineers to elevate organizational performance

Requirements:

• Over 10 years of industry experience with deep expertise in one or more technical areas (e.g., frontend, databases, distributed systems, APIs, AI, etc.)
• Proven ability to lead complex technical initiatives, driving strategic projects and improving organizational processes in fast-paced, dynamic environments
• Mastery in system design and software architecture, with a strong ability to balance technical considerations and execution constraints
• Extensive experience building user-facing SaaS products, catering to both startup and enterprise users
• Expertise in building 0→1 products and solving large-scale challenges, especially in environments that prioritize a bias for action
• Strong leadership and mentorship experience, consistently up-leveling teams and leading by example
• Excellent communication skills with the ability to influence and advocate for technical decisions at all levels of the organization
• 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