About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
The Senior Vice President (SVP) of Product Reliability Engineering (PRE) is a senior technology leader responsible for ensuring that Visa’s products, platforms, and services are engineered and operated to meet world‑class standards of availability, resiliency, performance, and disaster recovery readiness.
This is not a traditional IT operations role. It is an engineering‑first leadership role accountable for reliability strategy, frameworks, tooling enablement, and executive incident leadership across a complex global portfolio.
Key Responsibilities
Reliability Engineering Leadership
Define and lead enterprise‑wide reliability engineering strategy, frameworks, and standards (e.g., SLOs, error budgets, reliability governance).
Drive consistent adoption of reliability practices across product and platform engineering teams.
Organizational Leadership
Operate effectively in a highly matrixed environment with strong cross‑functional influence.
Agentic Reliability & GenAI‑Enabled Operations
Incorporate GenAI tooling and agentic capabilities to strengthen reliability outcomes across monitoring/alerting, rapid incident response, change management/testing, and DevOps/deployment processes.
Drive adoption of agentic workflows that reduce operational load and accelerate restoration, triage, diagnostics, and remediation execution.
Advance GenAI capabilities that improve deployment safety and testing rigor, enabling faster change with maintained operational resilience.
Establish expectations for AI Observability and instrumentation for AI systems, partnering with relevant engineering teams to operationalize monitoring and lifecycle management.
Partner across technology teams to accelerate productivity through GenAI, including enabling defined classes of work to be implemented end‑to‑end by AI agents where appropriate.
Incident Leadership & Operational Excellence
Provide executive leadership during high‑severity incidents, including rapid decisioning, cross‑team mobilization, and stakeholder communication
Ensure strong post‑incident learning loops and systemic engineering remediation.
Service Reliability Products & Tools
Own reliability‑enabling platforms and tooling (automation, resilience validation, deployment safety mechanisms, reliability guardrails) used by engineering teams to operate safely at scale.
Performance & Scalability Engineering
Lead performance and scalability engineering initiatives across products and platforms to ensure systems meet latency, throughput, and efficiency requirements.
Cross‑Functional Reliability Governance
Partner with product, platform, and infrastructure leaders to embed reliability as a design requirement (not a downstream function).
Establish operating rhythms and governance mechanisms that balance speed of delivery with reliability and risk management.
IT Disaster Recovery (ITDR) Ownership
Own ITDR strategy and operational readiness to ensure systems meet recovery objectives and resilience requirements.
Lead resilience planning and execution across critical services and dependencies.
Qualifications
Basic Qualifications
15 or more years of relevant work experience with a Bachelor’s Degree or at least 12 years of work experience with an Advanced degree (e.g. Masters/MBA/JD/MD) or a minimum of 10 years of work experience with a PhD.
Preferred Qualifications
15+ years of experience in large‑scale, mission‑critical environments.
Experience leading global engineering or infrastructure teams.
Expertise in ITDR, resilience architecture, and reliability frameworks.
Experience in regulated / high‑availability industries.
Deep knowledge of distributed systems and resilience patterns.
Experience incorporating GenAI tooling and agentic capabilities into operational and reliability workflows (especially monitoring/alerting, response, change management/testing, and DevOps/deployment).
Familiarity with AI Observability and instrumentation approaches for AI systems.
U.S. Applicants Only
The estimated salary range for this position is $$292,200 to $$575,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.