Key Responsibilities:
• Collaborate with the senior leadership to define and communicate the product vision and strategy for GenAI-based tools, ensuring alignment with business goals and Mastercard needs.
• Develop and maintain a detailed product roadmap, prioritizing features and enhancements with precise acceptance criteria based on user feedback, market trends, and technical feasibility.
• Efficiently manage the product backlog, ensuring it is well-organized, prioritized, and aligned with the product roadmap. Partner with the scrum master and the team by participating in various scrum events like the daily standups, ensuring teams understand the priority and value being delivered.
• Provide technical guidance and insights, leveraging your machine learning and software engineering background to drive innovation and solve complex problems.
• Stay abreast of industry trends, competitive landscape, and emerging technologies to inform product decisions and maintain a competitive edge.
• Define and track key performance indicators (KPIs) to measure product success and identify areas for improvement.
Qualifications:
• Around 15 years of relevant experience in software engineering and product management with a focus on SaaS product development and machine learning.
• Strong technical background with hands-on experience in software development, particularly in building AI/ML-based products.
• Deep understanding of generative AI technologies and their applications in the software development space.
• Proven ability to lead and inspire cross-functional teams, with excellent communication and collaboration skills.
• Strong analytical and problem-solving abilities, with a track record of delivering innovative solutions.
• Demonstrated experience in managing product backlogs, prioritizing tasks, and ensuring alignment with product goals.
• Strong experience with Agile Scrum practices and ceremonies.
• Proficiency in writing detailed user stories and defining acceptance criteria.
• Ability to effectively showcase products through demos and presentations.
• Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field.
Preferred Qualifications:
• Previous experience in a startup or fast-paced environment.

#AI

Mastercard is an 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. 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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.