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Head of Venmo, Agentic AI

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

Pay Pal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two‑sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. Pay Pal is more than a connection to third‑party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a Pay Pal or Venmo account balance, Pay Pal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.

Our Pay Pal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end‑to‑end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk.

We enable consumers to engage in cross‑border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross‑border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description:
  • Define and drive the strategic vision for machine learning initiatives within the team.
  • Lead the development and optimization of machine learning models.
  • Oversee the preprocessing and analysis of large datasets.
  • Deploy and maintain ML solutions in production environments.li>
  • Collaborate with cross‑functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models, making necessary adjustments.
  • Mentor and guide junior engineers and data scientists.
  • Ensure adherence to best practices and industry standards in ML development.
Expected

Qualifications:
  • 8+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience.
Additional Responsibilities &

Preferred Qualifications:
  • Lead and mentor a team of ML Scientists and Engineers, providing technical direction, career development, and regular feedback while fostering an inclusive, high‑performing culture.
  • Own the technical vision and roadmap for Venmo’s Agentic system, guiding the evolution of its reasoning, memory, and action layers to deliver dynamic, context‑aware user experiences.
  • Guide the design and implementation of fine‑tuned large language models (LLMs) for Venmo‑specific use cases, ensuring robust alignment, safety, personalization, and compliance with regulatory and risk standards.
  • Drive the development and application of advanced LLM fine‑tuning strategies, including supervised fine‑tuning (SFT), direct preference optimization (DPO), and reinforcement…
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