VP of Sales

Responsibilities

• Lead aggressive revenue growth by owning net-new ARR, renewal, and expansion targets
• Build and refine scalable sales playbooks, qualification frameworks, and account planning processes
• Develop and lead a high-performing commercial organization of Account Executives and Account Managers
• Implement operating cadences and daily KPIs to track pipeline health and revenue performance
• Elevate the sales narrative and messaging to sharpen differentiation and connect to customer pain points
• Guide deal strategy for complex, multi-stakeholder opportunities to ensure market dominance
• Partner with Marketing, Product, and Delivery to ensure GTM cohesion and effective feedback loops

Requirements

• 20+ years in sales leadership, including 10+ years at the VP/SVP level
• Proven track record of scaling sales and account management teams in fast-growth software companies
• Expertise in complex, multi-stakeholder selling involving executives and technical buyers
• Proficiency in sales methodologies such as MEDDIC, Challenger, or Sandler
• Mastery of forecasting discipline, pipeline governance, and structured deal inspection
• Proficiency with modern revenue technology, including CRM and sales intelligence tools
• Ability to work on-site 4 days a week at our Toronto Headquarters

Preferred Qualifications

• Experience or exposure in public infrastructure, GovTech, Construction Tech, or AI-driven markets

Benefits

• Opportunity to influence positive change in sustainable public infrastructure
• Work at the intersection of infrastructure, scaleup, and data science/AI
• High-impact environment with minimal corporate bureaucracy
• Access to Generative AI tools and a full Data Universe to enhance productivity
• Collaborative culture that celebrates wins and values teamwork

About the Company

Citylitics delivers predictive intelligence on infrastructure investments across North America. We transform millions of documents from cities and utilities into real-time market signals, helping leading vendors and engineering firms identify and pre-position for major opportunities using a combination of AI agents and proprietary data models.