VP, AI Engineering

Summary

Join Anaplan's AI Engineering team as VP, leading a global team in defining and driving the company's AI strategy. This impactful role involves developing engineering teams, fostering a servant leadership culture, building measurement-driven processes, and solving complex problems at enterprise scale. Anaplan is a successful SaaS company with over $1B in ARR, offering a unique opportunity for leadership in a challenging and rewarding environment. The ideal candidate will have extensive experience in developing engineering and product teams within a global enterprise, a strong mathematical and systems background, and a proven ability to influence senior leadership. This position requires a deep understanding of performance engineering and a commitment to Agile principles.

Requirements

• 15+ years of experience developing engineering and product teams within a global enterprise
• Successfully managed engineering teams across nearly every continent
• Demonstrated ability to influence senior leadership — from CTOs to peers across Product, Engineering, Marketing, Support, and Customer Success
• Skilled at prioritizing work to maximize impact — with a focus on doing more with less
• Proven ability to balance short-term fixes with long-term system health — addressing technical debt proactively
• Strong mathematical and systems background — particularly with complex, in-memory array models that recalculate trillions of cells in sub-seconds
• Deep experience with performance engineering — raising the bar on what “good enough” means
• A track record of teams and peers who speak to your leadership and impact with pride

Responsibilities

• Define and drive Anaplan’s AI strategy across the entire platform
• Lead and develop global engineering teams, providing the tools and support they need to succeed
• Foster a servant leadership culture — leading by asking, not telling
• Guide the team through challenges while maintaining a positive and constructive approach
• Build measurement-driven processes that support innovation and velocity
• Embrace failure as a path to growth — creating an environment where learning from missteps is part of the process
• Apply Agile principles to deliver results quickly and iteratively
• Solve complex customer and system-level problems that no one else is addressing

Preferred Qualifications

• Agile mindset with a deep belief in the 12 principles of Agile
• Servant leadership style centred on team empowerment and accountability
• Data-driven approach to leadership — making decisions based on measurement and facts
• A natural ability to maintain positivity under pressure and turn challenges into opportunities