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Mastercard

Specialist Sales Manager, Test & Learn Solution

Mastercard is hiring a Specialist Sales Manager, Test & Learn Solution in Arlington, United States. 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.
  • The posting mentions Machine learning, sales and predictive analytics among its tools and skills.
  • Level classes it as a senior role.
  • Mastercard has 967 other open roles on Level.

AI in this role

Specialist sales manager focused on driving revenue and pipeline for an AI-driven predictive analytics and business experimentation platform.

Machine learning
salespredictive-analyticsb2b-salesdata-analysis

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

Specialist Sales Manager, Test & Learn Solution

Who is Mastercard
What role do we play in the modern world? Are we an enabler of purchases or a facilitator for transactions? We play a much larger role in the world by enabling those that have no access to financial systems. We have the technology, people and Brand to serve modern society. Today, we are a global tech company that connects everyone to endless possibilities, priceless possibilities.

Overview
We are seeking a sales leader to specialize in closing new and growing existing client opportunities for Mastercard's Test & Learn® platform. Specialists develop sales strategies, build client pipelines for multimillion-dollar deals, present solutions to senior executives, and collaborate with internal teams to close deals. This role requires deep understanding of Mastercard's services, strong commercial and analytical skills, and experience in software or data-driven solution selling.

More on the Test & Learn Platform:
• Business Experiments: Enables businesses to run experiments and test initiatives in areas like product launches, pricing, and marketing.
• Predictive Analytics: Uses machine learning to analyze data, understand the true impact of initiatives, and identify key drivers of performance.
• Actionable Insights: Provides actionable insights and recommendations for maximizing ROI by targeting the most responsive customers or initiatives.

Role
Manager level role focused on our Test & Learn platform, leveraged by 300+ clients globally and growing revenue with new clients in key segments (Retail, Restaurants, Travel, Digital, CPG, Telco).

• Drives Sales Strategy: Develops and executes strategies to sell the Test & Learn platform and related services to clients.
• Manages Client Pipeline: Cultivates a pipeline of potential clients and converts them into active platform users.
• Secures Large Deals: Aims to secure significant, multi-year deals by demonstrating the platform's value.
• Presents and Influences: Presents the platform's capabilities to senior client audiences and influences large business decisions.
• Collaborates: Works with internal teams, including product development, to provide client insights and develop solution proposals.
• Builds Relationships: Fosters strong, long-term partnerships with clients, according to Mastercard Services.
Key Skills and Experience Needed:
• Sales & Commercial Acumen: Strong sales ability, particularly in building and converting a cold pipeline. History of meeting and exceeding sales quotas.
• Demonstrated experience working with or selling solutions to clients in the media and advertising industry.
• Data & Analytics Expertise: Deep understanding of analytics and a desire to learn more about Mastercard's many offerings in this space.
• Software/Data-Driven Selling: Experience selling software or data-driven solutions is often required.
• Analytical Skills: Proficiency in problem-solving and analytical thinking to understand client needs by translating data into solutions.
• Client Engagement: Ability to build senior-level client relationships and present complex solutions.

All About You
•Strong software or data driven solution selling background with success with 12-18+ month sales cycles; never give up attitude, excellent at ‘pounding the pavement’ through email/phone cold outreach
Progressively complex hunting sales within Retail / Restaurants / CPG / Travel /Digital sectors, Telco; rolodex of C-Level / EVP / SVP contacts preferred
•Ability to thrive and build robust pipeline with limited lead generation support
•Strong networker across relevant stakeholder base with the ability to listen, build common ground and influence in order to effectively advance business opportunities and generate revenues
•Revenue management experience
•Revenue goal-setting abilities
•Top-level sales skills (internally and externally) combined with strong negotiation capabilities required for large deals

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 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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Arlington, Virginia: $115,000 - $164,000 USD

Purchase, New York: $115,000 - $164,000 USD

How we rate this

Specialist Sales Manager, Test & Learn Solution at Mastercard rates 65 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

SalesPredictive AnalyticsB2b SalesData AnalysisMachine learning

Also common in sales jobs at this level

Pay

Typical sales job
$139k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

  1. Tell me about a project where sales was part of your work. What did you do?
  2. Tell me about a project where predictive analytics was part of your work. What did you do?
  3. Tell me about a project where b2b sales was part of your work. What did you do?
  4. Tell me about a project where data analysis was part of your work. What did you do?
  5. Walk me through how you've used Machine learning in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Sales, Predictive Analytics, B2b Sales, Data Analysis, and Machine learning. 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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