Lead Technical Program Manager

Visa is hiring a Lead Technical Program Manager in Austin, United States. It pays $165k-$264k a year and Level rates it ; you can apply on Level.

AI in this role

chatgptclaudegeminicopilot

prompt-engineering

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

Role Summary:

The Risk and Security (RAS) organization within Value-Added Services (VAS) delivers industry-leading solutions that help clients manage risk, reduce fraud, and enable secure digital identity experiences. Our products support high-volume transaction processing and mission-critical capabilities used by financial institutions, merchants, fintechs, and payment ecosystem partners worldwide.

We are seeking an experienced Lead Technical Program Manager to drive execution of large-scale, cross-functional portfolios spanning Product, Engineering, Data Science, Security, Operations, and Business teams. This leader will own strategic programs from concept through delivery, ensuring alignment to business outcomes, product strategy, operational excellence, and organizational objectives.

The ideal candidate combines strong technical depth, program leadership, stakeholder management, and operational rigor with experience leveraging AI-powered delivery tools, Agentic AI workflows, and GenAI-enabled engineering practices to improve execution efficiency, quality, and business outcomes.

Key Responsibilities:

Lead complex, highly visible, multi-team programs with significant business, operational, and revenue impact.
Drive program strategy, planning, execution, and delivery across globally distributed teams.
Establish and execute on program governance, operating cadence, reporting, and executive communications.
Partner with Product, Engineering, Architecture, Security, and Operations leaders to align roadmaps and delivery plans.
Develop long-range plans, milestones, funding requirements, resource strategies, and success metrics.
Lead large-scale software development programs following Agentic Squad Model, and modern SDLC practices from initiation to deployment.
Manage dependencies, risks, impediments, and critical-path activities across multiple teams and organizations.
Collaborate with engineering leadership to improve delivery predictability, system reliability, security, compliance, availability, resiliency, and operational excellence.
Ensure compliance with organizational governance, security, audit, and regulatory requirements.
Drive adoption of AI-enabled software delivery practices across engineering and product teams.
Leverage GenAI and Agentic AI tools to improve program planning, requirements management, execution tracking, reporting, documentation, and knowledge management.
Use AI-powered portfolio, project management, and engineering intelligence platforms to improve delivery predictability and resource optimization.
Identify opportunities to automate program processes, reporting, governance workflows, backlog management, and operational tasks using AI solutions.
Manage portfolio budgets, forecasts, and investment tracking.
Provide executive visibility into portfolio health, resource utilization, risks, and business outcomes.
Drive data-informed decision-making using reporting, DORA and Flow metrics, dashboards, and predictive insights.
Coach program managers, product, and delivery teams and promote a culture of accountability, transparency, continuous improvement, and execution excellence.
Influence without authority across multiple organizations and executive stakeholders.
Lead organizational change management initiatives and adoption of improved delivery practices.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications:

Specialist: 4 or more years of relevant work experience.
Proven success delivering large, complex cross-functional programs across global organizations.
Deep expertise in leading Agentic Squads, Agile, SAFe, Lean, DevOps, and modern software engineering practices.
Strong understanding of architecture patterns, APIs, cloud technologies, security, reliability, and operational excellence.
Hands-on experience using AI-powered productivity and delivery platforms such as Microsoft Copilot, GitHub Copilot, ChatGPT Enterprise, Claude, Gemini, Agentic AI platforms, or similar enterprise AI tools.
Experience incorporating AI-assisted workflows into product development, engineering, testing, planning, documentation, reporting, or operational processes.
Experience leading AI transformation or adoption initiatives across engineering and product organizations.
Exceptional communication and executive presentation skills.
Strong stakeholder management and influence skills.
Ability to operate effectively with executive leadership and cross-functional teams.
Strong analytical, problem-solving, and decision-making capabilities.
Project Management Professional (PMP®), PMI-ACP, SAFe Program Consultant (SPC), SAFe Release Train Engineer (RTE), Lean Six Sigma
Microsoft AI, Azure AI, or Data & AI certifications.
Generative AI or Prompt Engineering certifications.
Financial services and payments network experience is a plus.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $164,700.00 to $ 263,600.00 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.

How we rate this

Lead Technical Program Manager at Visa rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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. Open the description and count.

Key facts

Lead Technical Program Manager is an open job at Visa.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $165k-$264k a year.
The role is based in US - Austin, TX.
The job was posted on October 13, 2026.
Seniority: lead.
Applications are handled by Visa. Apply on Visa

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringChatGPTClaudeGeminiCopilot

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Walk me through how you've used ChatGPT in your day-to-day work.
What are the limits of Claude that you've run into, and how did you work around them?
What's a project where you used Gemini hands-on?
Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, ChatGPT, Claude, Gemini, and Copilot. 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.

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