Description
Mastercard Identity is the global standard in identity verification and behavioral assessment, providing businesses worldwide the ability to link any digital transaction to a human or entity behind it.
As a Sales Engineer on the Mastercard Identity team, you will have a diverse set of responsibilities supporting Sales using technical know-how and product expertise to grow a best-in-class product suite in the identity solutions industry.
The role is focused on ensuring prospects understand our solutions from a technical perspective with the aim of deriving the best possible value from our ecosystem, which is built on machine learning and a foundation of data science and financial services.
Responsibilities:
- Work with our Sales team to win deals and drive sales to completion in the North America market
- Ensure an exceptional experience throughout the pre-sale process
- Be the subject matter expert in the Mastercard Identity suite of products and solutions
- Use your technical skills to show a strong understanding of the underlying technologies, data processing, and web architecture
- Use your data science knowledge to explain data features and probability-based decisioning to provide the most value to customers, and how to make it actionable for their specific use case
- Use your business skills to understand business needs and position Mastercard Identity products to design solutions using them
- Use your soft skills to build strong relationships with prospects and customers
- Use your writing skills to create documentation for prospects, customers, and for internal use
- Drive success through proof of value product tests
- Provide training to enable a solid understanding of the offering and ensure a smooth onboarding experience
- Liaise with the Product team to bring customer-facing perspectives and customer feedback, and to contribute insights for the product roadmap
- Attend and present at conferences and webinars, and support the creation of documentation including best practices, industry knowledge, the competitive landscape, and the direction of trends
Requirements:
- Proven experience as a Sales Engineer
- Experience in leading discovery to qualify customer needs and determine viable solutions of value
- Solid understanding of data science concepts and machine learning models
- Solid understanding of API-delivered services and web architecture
- Experience with Python programming and SQL
- Excellent presentation and interpersonal skills with demonstrated ability to work with business leadership, product managers, data scientists, engineers, and marketers alike
- Proven ability to establish credibility with technical leaders in customer organizations
- Business acumen to understand customer business drivers, risks and benefits, and value of our solutions
- Analytical skills to build solutions that integrate within a customer workflow specification
- Excellent verbal and written communication skills with an ability to convey technical concepts to nontechnical stakeholders
- Problem-solving skills in complex environments
- Fluency in English
Preferred qualifications:
- Background in fraud and the payments industry
Benefits:
- Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- Flexible spending account and health savings account
- Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- Deferred compensation for eligible roles
- Fitness reimbursement or on-site fitness facilities
- Eligibility for tuition reimbursement