VP of Engineering

Clever Real Estate is hiring a VP of Engineering to lead its engineering organization and own the technical foundation supporting the company’s growth. The role sets technical direction, develops engineering leaders, improves software execution, and advances AI-assisted engineering across the company.

Responsibilities:

• Lead Clever’s engineering organization, setting a high bar for technical quality, ownership, and execution
• Set technical direction across our core systems, including where to extend, simplify, re-architect, or replace existing technology
• Stay technically engaged in critical work through architecture reviews, code review, debugging, production issues, and direct contribution when appropriate
• Improve how work moves from problem framing through implementation and production, helping teams simplify scope and unblock complex initiatives
• Raise the talent bar through recruiting, coaching, organizational design, and clear performance management
• Push the frontier on AI-assisted engineering and build the platforms and guardrails that expand AI leverage across the company
• Partner closely with Product and company leadership to shape solutions, challenge unnecessary complexity, and make clear technical and organizational decisions

Requirements:

• Significant software engineering experience, including leadership of engineering managers and senior technical leaders
• Strong technical depth across architecture, implementation, debugging, and production systems
• Experience inheriting and evolving complex production systems, with sound judgment about when to extend, refactor, or replace them
• Track record of improving engineering execution while building and developing high-performing teams
• Strong product and business judgment, including close partnership with Product and executive leadership
• Deep hands-on experience with frontier AI development tools and a strong point of view on how AI is changing software engineering
• Experience helping a startup scale through multiple stages of growth, including evolving the engineering team, operating model, and technical foundation as the company became more complex
• Experience leading a lean, high-autonomy engineering organization where leaders remain close to the technology
• Experience modernizing or replacing significant legacy systems while continuing to support a live business
• Experience with integration-heavy or operationally complex systems such as marketplaces, CRMs, workflow automation, communications platforms, or third-party APIs
• Experience using AI to materially change the speed or economics of major engineering work and enable non-engineering teams to build more safely
• Familiarity with some of our stack, including AWS, JavaScript, Python/Django, PostgreSQL, and Ruby on Rails, or experience in real estate, fintech, marketplaces, vertical SaaS, or another operationally complex business