Sales Engineer Specialist

Mastercard; Miami (FL); On-site; USD 60,000 - 95,000; Full time

Job summary

Mastercard Identity is seeking a Sales Engineer Specialist to support North America sales with technical know-how and product expertise. You will translate complex data science and ML concepts into compelling value propositions for customers and partners, while partnering with Sales, Product, and Security teams to design practical, scalable solutions.

You will deliver proofs of value, provide training, and create clear documentation, presentations, and demos. Travel up to 25% is expected.

Qualifications

• Proven experience as a Sales Engineer.
• Solid understanding of data science concepts and ML models.
• Experience with Python and SQL.
• Excellent presentation and interpersonal skills.
• Fluent in English.

Responsibilities

• Work with Sales to win deals in North America.
• Be the subject matter expert in Mastercard Identity products.
• Explain data features and probability-based decisioning.
• Provide training and enable onboarding.
• Attend conferences and webinars.
• Create documentation for prospects and internal use.

Skills

Sales engineering

Data science concepts

Machine learning basics

API and web architecture

Python

SQL

Presentation skills

Communication skills

Business acumen

English fluency

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Sales Engineer Specialist

Our Purpose:

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.

Overview:

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. Our solutions use complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our models to deliver industry-leading fraudulent activity detection and risk assessment solutions.

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. As the product expert, you will collaborate with Sales to understand prospect pain points, workflows, goals, and risks to determine product fit. You advise prospects on how to best leverage our data in their systems, set up proof of value tests, provide training, represent Mastercard Identity in the market and at customer engagements, attend conferences, and liaise with our Product team to share customer feedback to improve our products.

In this role, you will:

• 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%

All About You:

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

Mastercard is a merit‑based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [e-mail] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.

Pay Ranges

Toronto, Canada: $83,000 - $132,000 CAD

Vancouver, Canada: $83,000 - $132,000 CAD