Job Description

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
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