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Director, Software Engineering (AI Platform Development) - job 20 of 20

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The payments industry is evolving rapidly, with innovative solutions emerging all the time. As a leader in this space, VISA is transforming into a technology-driven company, making significant investments to stay ahead. With strong demand for new solutions, this is an exciting time to be involved in payments.

Visa’s Ecosystem & Operational Risk (EOR) technology group is looking for a Director of Software Engineering to lead strategic initiatives within the Payment Fraud Disruption team. This team plays a crucial role in developing systems and services that detect and prevent fraud, helping safeguard Visa’s payment systems. We're looking for talented individuals with a strong engineering background, leadership experience, and a passion for solving complex problems in payments or related industries.

In this role, you’ll help shape the future of fraud prevention and work closely with business and technology partners to create impactful solutions. The position offers a hybrid work model, allowing you to work both remotely and in the office 3 days a week, depending on business needs. This is a great opportunity for someone eager to make a significant impact in the fast-growing payments industry.

Essential Functions:

  • Design and develop ML platforms and deploy them in a secure, reliable, robust and interoperable products.
  • Drive excellence in engineering practices across the SSDLC.
  • Drive adoption of Gen AI across the portfolio, for client innovation, business productivity and developer productivity.
  • Partner with Product teams on requirements and prioritization. Influence product strategy and roadmap.
  • Lead a multi-disciplinary team of data engineers , software developers, and AI & ML experts.
  • Develop and nurture the engineering team by hiring critical talent, driving retention, motivating, and mentoring staff, and driving career growth for team members.
  • Build an inclusive team culture, and a culture of ownership and accountability.
  • Drive strategic impact for EOR by delivering fit-for-purpose products with an accelerated time to market.
  • Ensure strong program management and governance practices for your team.
  • Forge strong partnerships with key stakeholders across Technology & Business.
  • Role model Visa Leadership Principles (VLPs).

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

  • 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience.

Preferred Qualifications

  • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
  • Drive the design, implementation and deployment of AI/ML centric, secure, reliable, robust and interoperable products.
  • Drive excellence in engineering practices across the SSDLC.
  • Drive adoption of Gen AI across the portfolio, for client innovation, business productivity and developer productivity.
  • Partner with Product teams on requirements and prioritization. Influence product strategy and roadmap.
  • Lead a multi-disciplinary team of software developers, data engineers, AI & ML experts, test engineers, release engineers.
  • Develop and nurture the engineering team by hiring critical talent, driving retention, motivating and mentoring staff, and driving career growth for team members. Build an inclusive team culture, and a culture of ownership and accountability.
  • Drive strategic impact for EOR by delivering fit-for-purpose products with an accelerated time to market.
  • Ensure strong program management and governance practices for your team.
  • Forge strong partnerships with key stakeholders across Technology & Business.
  • Role model Visa Leadership Principles (VLPs).

Visa is not offering relocation assistance for this role.

Additional Information

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 protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 176,400.00 to 256,000.00 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.

Visa is not offering relocation assistance for this role.

Average salary estimate

$216200 / YEARLY (est.)
min
max
$176400K
$256000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Director, Software Engineering (AI Platform Development), Visa

Are you ready to lead the charge in fraud prevention at a groundbreaking company? Visa, a world leader in payments technology, is searching for a passionate and innovative Director of Software Engineering to join our Ecosystem & Operational Risk team in Austin, TX. In this vital role, you'll have the opportunity to design and develop machine learning platforms that bolster our security infrastructure and safeguard transactions. Your leadership skills will shine as you guide a dynamic team of software developers, data engineers, and AI experts, driving excellence and collaboration. At Visa, we’re not just about maintaining the status quo; we’re about transforming the payments industry through innovative solutions that benefit businesses and consumers alike. You'll be at the forefront of implementing Gen AI across our products, helping to enhance client and developer productivity while ensuring systems are robust and secure. The role provides a hybrid work model which means you enjoy the flexibility of remote work while getting the chance to connect with your team in the office as needed. If you're excited about solving complex problems, thriving in a fast-paced environment, and driving change in an industry that touches millions every day, we want to hear from you. Join us at Visa, where every day offers the chance to make a real impact, shaping the future of payment systems globally!

Frequently Asked Questions (FAQs) for Director, Software Engineering (AI Platform Development) Role at Visa
What are the responsibilities of the Director of Software Engineering at Visa?

The Director of Software Engineering at Visa is responsible for leading the Payment Fraud Disruption team, focusing on developing systems that detect and prevent fraud. This role involves designing machine learning platforms, influencing product strategy, nurturing an engineering team, and ensuring the delivery of high-quality products that address business needs.

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What qualifications are needed for the Director of Software Engineering position at Visa?

To be a successful candidate for the Director of Software Engineering at Visa, you will need at least 10 years of relevant experience paired with a Bachelor’s degree. Preferred qualifications include a Master’s degree or higher, along with significant experience in AI/ML product design, engineering practices, and team leadership.

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How does the hybrid work model work for the Director of Software Engineering role at Visa?

The Director of Software Engineering position at Visa supports a hybrid work model, allowing employees to work from home and in the office. Employees are typically expected to be in the office three days a week, depending on business needs, providing a balance of collaboration and flexibility.

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Can previous experience in fraud prevention enhance my candidacy for the Director of Software Engineering role at Visa?

Absolutely! Previous experience in fraud prevention or the payments industry is highly beneficial for the Director of Software Engineering role at Visa. It demonstrates your understanding of the specifics of fraud detection systems and can give you a competitive edge when developing innovative solutions.

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What are the opportunities for professional growth at Visa for a Director of Software Engineering?

At Visa, there are numerous opportunities for professional growth for a Director of Software Engineering. The company promotes a culture of mentorship and career advancement while encouraging leadership development and the adoption of cutting-edge technologies within the engineering team.

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Common Interview Questions for Director, Software Engineering (AI Platform Development)
What experience do you have with machine learning and AI in software engineering?

Highlight your past projects where you successfully implemented machine learning algorithms. Discuss any relevant technologies or frameworks you used, along with how those solutions impacted your previous organizations.

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How do you prioritize tasks when leading a multidisciplinary engineering team?

Discuss your approach to assessing project needs, stakeholder input, and team strengths. Emphasize the importance of open communication and collaboration while balancing urgent tasks with long-term goals.

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Can you describe a time you successfully influenced product strategy in a previous role?

Share a specific example illustrating your strategic influence, detailing the steps you took, the challenges faced, and how your input led to improved business outcomes or innovative solutions.

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What is your approach to cultivating an inclusive team culture?

Talk about your commitment to diversity and inclusion, sharing specific strategies you've implemented in past roles to foster collaboration and ensure all team members feel valued and heard.

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How do you ensure strong program management and governance practices within your team?

Explain your methodology for implementing program management best practices, and how you ensure accountability, track progress, and facilitate regular updates and feedback sessions.

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What challenges do you foresee in the payments industry, and how can technology address them?

Discuss upcoming trends such as the evolving nature of fraud tactics and regulatory changes. Emphasize how innovative technology solutions like AI can significantly enhance fraud detection and prevention.

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How do you maintain high engineering standards across your team?

Articulate your approach to sharing best practices, conducting regular code reviews, and encouraging continuous learning. Highlight any specific frameworks or metrics you use to drive engineering excellence.

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Can you talk about a successful project you launched and the impact it had?

Provide a detailed overview of a project, including your objectives, the role you played, the execution process, and the measurable impact of the project on the organization or stakeholders involved.

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How do you handle conflict resolution within your team?

Share your approach to addressing conflict through open dialogue, active listening, and seeking win-win outcomes. Mention the importance of mediating conversations rather than allowing issues to fester.

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What is your vision for the future of AI in the payments industry?

Discuss your forward-thinking perspectives on AI advancements, including improved fraud detection, seamless user experiences, and automation trends, and how these will shape the future landscape of the payments sector.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
March 27, 2025

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