Lead and grow the software engineering organization, including hiring, org design, leadership development, and performance management.
Build a high-accountability, high-trust engineering culture centered on ownership, speed, quality, and customer impact.
Own engineering execution across the product and platform, ensuring teams ship high-quality SaaS capabilities with speed, predictability, and strong operational performance.
Define and lead an AI-first engineering model in which AI is embedded into day-to-day software development workflows across the SDLC.
Partner with product and company leadership to define how we plan, build, and ship software in an AI-first environment.

Must have 8+ years of professional software engineering experience, including significant leadership experience in SaaS or cloud software environments.
Proven experience leading engineering teams and organizations in a scale-up environment, where both product complexity and organizational complexity are increasing.
A track record of building and shipping sophisticated software products in a modern stack (e.g., cloud-native services, microservices/SaaS, APIs, data-heavy systems, workflow-driven platforms).
Demonstrated experience leading organizational and technical evolution — e.g., scaling teams, improving engineering execution, platform migrations, process redesign, or adoption of new development practices and tools.
Hands-on familiarity with AI/LLM tools for software development and strong judgment about where AI materially improves leverage, quality, and speed.
Strong system design and architectural skills, with the ability to guide scalable, maintainable architectures and communicate trade-offs clearly.
Excellent communication skills and the ability to lead through growth, complexity, and changing ways of working.
Strong people leadership skills, including hiring, coaching managers, and developing senior engineering talent.

VP of Software Engineering

Key skills