Identity Solutions Engineer – Sales & Technical Lead

Mastercard; Atlanta (GA); On-site; USD 60,000 - 95,000; Full time

Job summary

Mastercard Identity is the global standard in identity verification and behavioral assessment, enabling businesses to link any digital transaction to a human or entity behind it. Our solutions use machine learning to deliver fraud detection and risk assessment at scale, helping customers succeed in a secure payments ecosystem.

The Sales Engineer Specialist will partner with the North America Sales team to win deals, become the trusted technical advisor, and translate customer needs into concrete

Qualifications

• Proven experience as a Sales Engineer
• Experience in leading discovery to qualify customer needs and determine viable solutions of value
• Possess a solid understanding of data science concepts and machine learning models
• Possess a 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
• Possess business acumen to understand customer business drivers, risks and benefits, and value of our solutions
• Possess 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
• Possess excellent problem-solving skills in complex environments
• Are fluent in English
• Background in fraud and the payments industry is preferred

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
• Be the trusted advisor, instilling trust to enable customers to rely on you for sound advice and strategic guidance, and to inform their decision-making process.
• 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
• Travel requirements are limited but could be up to 25%

Skills

Sales Engineering

Discovery

APIs & Web

Data science

Presentation

Stakeholder mgmt

Business acumen

Analytical skills

English fluent

Fraud in payments domain

Tools

Python

SQL

Job description

Mastercard Identity is the global standard in identity verification and behavioral assessment, enabling businesses to link any digital transaction to a human or entity behind it. Our solutions use machine learning to deliver fraud detection and risk assessment at scale, helping customers succeed in a secure payments ecosystem.

The Sales Engineer Specialist will partner with the North America Sales team to win deals, become the trusted technical advisor, and translate customer needs into concrete