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Sr. Solutions Architect

LeapYear Technologies

LeapYear Technologies

IT
Remote · United States
Posted on Saturday, December 4, 2021
LeapYear solutions are used to unlock unprecedented value from the most sensitive data assets. The platform is based on the mathematical standard of differential privacy, which enables companies to compute on data across business lines, geographic boundaries, and organizations while preserving locality, confidentiality, and value.
We are looking for a pre-sales solutions architect that has navigated complex enterprise sales processes, with a deep background in analytics and applied mathematics. Our solutions architecture team works with the world’s largest and most trusted institutions to create entirely new business opportunities and use cases using their sensitive data.

Responsibilties

  • Develop a deep understanding of data privacy, security, and machine learning, from a business, technology, and policy perspective
  • Become an expert in applying LeapYear's technology to complex enterprise problems
  • As a technical subject matter expert, educate customers, prospects, and partners on LeapYear’s solutions and help translate these solutions’ impact into business value
  • Alongside a sales director, execute a solution driven land-and-expand strategy, and build existing accounts by discovering new use cases across client domains
  • Serve as an active customer advocate in product management discussions, especially feature prioritization and defining requirements

Requirements

  • Experience deeply understanding customer businesses and problems, and contributing to the sale of novel technical solutions across enterprise client domains. Prior experience with or interest in capital markets is a plus.
  • Ability to present complex technical concepts in a clear, precise, and actionable manner with excellent interpersonal, written, and verbal communication skills
  • Fluency in data analytics architecture, including knowledge of databases, ETL concepts, BI tools
  • Familiarity with data science process, machine learning, data architecture, and IT systems
  • Demonstrated ability to build and manage enterprise customer relationships
  • Experience communicating with diverse audiences, including but not limited to line-of-business, technical, and executive stakeholders
  • Prior experience positioning the value of analytics from business and technical standpoints
  • Experience with the analytical workflows used in financial services and capital markets
  • Ability to coordinate with engineering, product management, marketing, and data science teams
  • Entrepreneurial mindset & demonstrated success in a dynamic start-up environment

A Few of the Perks

  • Culture of teaching and learning
  • Competitive compensation package of salary and equity: $150,000 – $250,000, depending on skills and experience
  • Matching 401k plan
  • Generous health insurance plan
  • Disability, accident, and life insurance
  • Relocation support
  • Company outings
  • Build your ideal work station