Sr. Manager, Tech Talent Acquisition at Visa

Austin, Texas, United States

Visa Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, Fintech, TechnologyIndustries

Requirements

  • Visionary leader who understands how talent acquisition must evolve to meet the demands of emerging technologies
  • Experience in building and developing high-performing, distributed teams
  • Data-driven mindset to inform strategy, optimize for efficiency, and measure performance across the hiring funnel
  • Deep expertise in technical talent acquisition, sourcing methodologies, and cross-functional collaboration

Responsibilities

  • Partner with Global Tech Sourcing Leaders to develop and execute innovative recruiting strategies, generating a robust pipeline of top-tier Software Engineering talent for CMS PD, PPD, and VAS teams
  • Act as a trusted talent partner to technology leadership, advising on talent demand, competitive intelligence, and market trends to shape effective hiring strategies
  • Lead the team to deliver on hiring targets for complex technical and niche roles, ensuring a healthy pipeline of qualified candidates and an exceptional, equitable candidate experience
  • Manage key operational metrics for the recruiting team to ensure efficiency, predictability, and the highest level of performance
  • Leverage data and analytics to provide insights, drive decisions, and measure the effectiveness of recruiting strategies
  • Pioneer the integration of new tools and technologies, including AI-driven solutions, to enhance sourcing, candidate evaluation, and recruiter efficiency
  • Lead and develop a high-performing, geographically distributed team of technical recruiters and sourcers across North America
  • Act as the single-threaded Talent Acquisition leader for the CMS PD, PPD, and VAS organizations, driving end-to-end talent strategy and execution for these critical business lines
  • Serve as the strategic talent advisor to leaders within these business units, influencing hiring strategy through data-driven insights and market expertise
  • Partner with global TA peers in other time zones to provide seamless, worldwide support for business leaders, particularly those in the US

Skills

Talent Acquisition
Technical Recruiting
Software Engineering Recruiting
Recruiting Strategy
Team Leadership
Data-Driven Recruiting
Distributed Teams

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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