Head of Professional Services

LeapYear is looking for a seasoned and deeply technical executive to: 
  • define LeapYear’s professional services organization
  • drive customer success outcomes and activities

The role will report to the CEO, and will manage data science & customer support teams.

This role can be based in New York, Toronto, London, or the San Francisco Bay Area.

Responsibilities
  • Pre-Sales
    • In collaboration with the sales team, identify use cases for LeapYear’s technology, explain how LeapYear’s technology creates business value, and respond to technical diligence questions 
    • Manage and refine the process for proof of concept deployments - implementation, relationship management, and presentation of results
    • Manage data science team to create demos, tutorials and other collateral
  • Post-Sales
    • Define and optimize a post-sales customer success program for existing implementations (onboarding, adoption, and retention)
    • Define and optimize a program for expanding existing implementations - identifying additional use cases, and work with sales team when these use cases are validated
    • Serve as LeapYear’s point person for customer relationships and develop strong customer references
    • Manage data science team in providing implementation services and creating customer case studies and best practices.
    • Manage customer support team in providing technical support

Requirements
  • Background in selling professional services or pre-sales engineering
  • Deep understanding of value drivers in recurring revenue business models
  • Undergrad or equivalent knowledge in a field involving advanced mathematics (machine learning, computer science theory, statistics, physics, math, systems engineering)
  • Excellent communication and presentation skills

Preferred
  • PhD or equivalent knowledge in a field involving advanced mathematics (machine learning, computer science theory, statistics, physics, math, systems engineering)
  • Experience leading customer-facing organizations
  • Experience leading data science teams
  • Familiarity with on-premise software, especially data infrastructure software
  • Experience with financial services businesses
  • Hands-on experience in data science/machine learning

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