Vp Software Engineering Jobs in Toronto, ON (NOW HIRING)

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, 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

Vice President, AI Software EngineeringOverview:
Mastercard is looking for a talented VP, AI Software Engineering to join the Mastercard Foundry Research and Development team in Toronto. In this role you will be leading a highly agile, AI native development team building innovative large-scale software platforms and solutions from ideation to release. Our team is built on a foundation of research and development, mining innovation internally, innovating new product lines with emerging technology, managing new products from inception to market validation and engaging strategically with start-ups to shape the future of commerce with and for our customers. At Mastercard you will help define the future of commerce globally.
About the Role:
This is a hands-on role for an engineer who is deeply engaged in using Generative and Agentic AI through the full product development lifecycle. You will lead lean, high-performance pods to develop and refine product constructs, build functional prototypes, and build, test, and deploy large-scale applications in the payment's ecosystem, supported by AI tooling and agentic capabilities. You will experiment with team structures, processes, and tooling to establish AI native ways of working to deliver high-quality software at an accelerated pace.
We are looking for someone with deep experience leading high-performing teams on customer facing software applications, strong engineering fundamentals, a product-building mindset, a practical understanding of the patterns and trade-offs behind modern AI systems, and a sense of curiosity to experiment and drive new ways of working.
Responsibilities
Drive the engineering vision and strategy for large-scale data-oriented new product development
Lead the delivery of complex, cross-functional software applications with AI native approach and mindset
Partner with product teams to define and refine nascent product constructs
Develop deep working knowledge of data assets, analytics, and infrastructure to implement scalable data-oriented applications
Manage teams to design, build, test, and release high-quality software applications leveraging AI tooling and processes
Mentor and grow talent-dense teams to a high degree of AI native development proficiency
Leverage and improve best practices for an AI-native SDLC, including design, architecture, development, code reviews, testing, deployment, and release
Coach teams on best practices for leveraging AI across the SDLC
Bring a strong and evolving perspective on AI team structures and processes, with a willingness to experiment and pivot
Hands on experience building 0->1 applications using Generative AI, LLMs, and/or agentic patterns
Proven experience leading high-performing teams on customer facing software applications
Strong data fluency and proficiency with data technologies (e.g., Databricks)
Strong software engineering experience building scalable, maintainable production systems
Strong backend engineering skills in Java and/or Python and frontend experience with React or Next.js
Strong track record of growing and developing high performing talent
Strong business acumen and proven ability to apply technology to solve business problems
All About You
Thrives on creating innovative products and technology solutions in a collaborative, fun environment
Hands-on, curious, and comfortable working in fast-moving environments
Passionate about leading and growing people and teams to their highest potential
Uses AI as part of daily engineering practice
Brings both engineering depth and a product mindset
Cares about developer experience, quality, and reuse
Communicates clearly and works well across functions
Enjoys learning, experimenting, and helping raise the bar for others
Ability to explain technical problems clearly and succinctly to diverse audiences.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 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: $208,000 - $333,000 CAD