Vice President, Software Engineering
Mastercard is hiring a Vice President, Software Engineering in New York, United States. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include software engineering, developer platform and AI assisted coding.
- Level classifies it as an executive role.
- Level lists 948 other open roles at Mastercard.
AI in this role
Lead the engineering strategy for Mastercard's unified, AI-enabled Developer Workbench platform.
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
Vice President, Software EngineeringRole OverviewMastercard is seeking a Vice President of Engineering to lead the Developer Workbench, a strategic platform designed to deliver a unified, AI-enabled, end-to-end software engineering experience across the enterprise.
The Developer Workbench will bring together core engineering products, developer tools, AI-assisted coding capabilities, development environments, testing workflows, deployment pipelines, cloud development experiences, and developer insights into one cohesive platform. This leader will be accountable for transforming the Workbench from a set of disconnected tools and services into a productized developer experience that improves productivity, accelerates onboarding, increases adoption of modern engineering capabilities, and strengthens governance across the software development lifecycle.
This is a senior engineering leadership role for a builder, integrator, and enterprise change leader who can operate across product, engineering, architecture, security, finance, learning, and senior technology leadership.
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Key Responsibilities
Lead the Developer Workbench Engineering Strategy
• Define and execute the engineering strategy for the Developer Workbench.
• Establish the technical architecture, operating model, and roadmap for a unified developer platform.
• Integrate developer tooling, engineering workflows, quality systems, AI coding capabilities, cloud and local development environments, and developer insights into a seamless end-to-end experience.
• Ensure the platform is scalable, secure, reliable, measurable, and aligned with enterprise engineering standards.
Build a Unified Developer Experience
• Create a frictionless developer journey from onboarding through coding, testing, deployment, monitoring, and continuous improvement.
• Reduce manual setup, inconsistent tooling, and duplicated effort across engineering teams.
• Partner with product teams to integrate capabilities across the MSBX product suite, and other engineering platforms.
• Establish feedback mechanisms to continuously understand developer needs and improve the overall experience.
Drive AI-Native Engineering Capabilities
• Lead the adoption and integration of AI-assisted software engineering tools and agentic development capabilities.
• Define governance, security, usage, enablement, and measurement models for AI coding assistants.
• Partner with security, risk, compliance, and architecture teams to ensure responsible and secure use of AI across the software development lifecycle.
• Measure the effectiveness of AI-enabled development through adoption, productivity, quality, and developer satisfaction metrics.
Own Tooling Governance and Platform Stewardship
• Establish a governance model for developer tools.
• Manage tooling standards, lifecycle, versioning, adoption, enablement, and rationalization.
• Ensure that developer tools are maintained, current, secure, and consistently supported.
• Partner with finance and technology leaders to provide transparency into tool value, adoption, cost, and productivity impact.
Build and Lead a High-Performing Engineering Organization
• Recruit, develop, and lead a team of engineers, architects, platform specialists, technical program leaders, and developer experience professionals.
• Build a culture of customer obsession, engineering excellence, accountability, and continuous improvement.
• Ensure the team operates as a product organization with clear priorities, measurable outcomes, and strong stakeholder engagement.
• Develop talent and leadership capacity within the MSBX organization.
Partner Across the Enterprise
• Collaborate with CTOs, engineering leaders, product leaders, security, architecture, operations, finance, and learning teams.
• Influence senior stakeholders and align investment decisions with business value.
• Communicate strategy, progress, risks, and outcomes to executive audiences.
• Represent the Developer Workbench as a strategic enabler of modern software engineering at Mastercard.
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Required Qualifications
• 15+ years of progressive software engineering experience.
• 8+ years of experience leading large engineering teams or platform engineering organizations.
• Proven experience building or scaling developer platforms, internal engineering platforms, DevEx organizations, cloud platforms, DevOps platforms, or engineering productivity functions.
• Strong understanding of modern software development practices, CI/CD, cloud-native architecture, platform engineering, developer tooling, quality engineering, and secure software delivery.
• Experience leading complex enterprise technology transformations in a matrixed environment.
• Demonstrated ability to influence senior executives and align cross-functional stakeholders.
• Strong track record of building high-performing teams and developing engineering leaders.
• Experience using data, telemetry, and metrics to improve engineering productivity and platform adoption.
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Preferred Qualifications
• Experience with AI-assisted software development tools and emerging agentic engineering workflows.
• Experience integrating developer tools across IDEs, source control, CI/CD, testing, deployment, observability, and cloud environments.
• Background in developer experience, platform engineering, SRE, DevOps, cloud engineering, or engineering enablement.
• Experience supporting large-scale developer communities in a global enterprise.
• Familiarity with engineering productivity measurement, developer satisfaction metrics, and platform adoption frameworks.
• Experience managing tooling governance, vendor platforms, and enterprise-wide technology standards.
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Leadership Attributes
The successful candidate will be:
• A visionary platform builder who can turn strategy into execution.
• A developer advocate who understands engineers as customers.
• A systems thinker who can simplify fragmented experiences.
• A strong technical leader who can operate at both architecture and executive levels.
• A change agent who can drive adoption across a large enterprise.
• A pragmatic operator who balances innovation, governance, cost, and delivery.
• A collaborative leader who builds trust across product, engineering, finance, security, and executive stakeholders.
• A metrics-driven leader focused on measurable business and developer outcomes.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.
Pay Ranges
New York City, New York: $254,000 - $407,000 USDHow we rate this
Vice President, Software Engineering at Mastercard rates 70 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
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where developer platform was part of your work. What did you do?
- Tell me about a project where ai assisted coding was part of your work. What did you do?
- Tell me about a project where engineering leadership was part of your work. What did you do?
- Tell me about a project where cloud development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, Developer Platform, AI Assisted Coding, Engineering Leadership, and Cloud Development. 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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