Senior Sales Engineer Specialist
Mastercard is hiring a Senior Sales Engineer Specialist in Toronto, Canada. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Works on AI ●●●○ is how Level rates this sales role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include machine learning, identity verification and risk assessment.
- Level classifies it as a senior role.
- Level lists 946 other open roles at Mastercard.
AI in this role
Support sales of machine learning-based identity and fraud solutions as a technical product expert at Mastercard.
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 SpecialistOur 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 preferredMastercard 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 reasonable_accommodation@mastercard.com 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.
Pay Ranges
Toronto, Canada: $83,000 - $132,000 CADVancouver, Canada: $83,000 - $132,000 CADHow we rate this
Senior Sales Engineer Specialist at Mastercard rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- Typical sales job
- $140k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where identity verification was part of your work. What did you do?
- Tell me about a project where risk assessment was part of your work. What did you do?
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where sales engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, Identity Verification, Risk Assessment, Fraud Detection, and Sales Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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