Sr Dir, Product Management - AI Platform
USA - California - San Jose - Corp - N First St, United States
PayPal
PayPal on nopeampi ja turvallisempi tapa lähettää rahaa, maksaa verkossa, vastaanottaa rahaa tai luoda kauppiaan tili.The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal 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. PayPal 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 PayPal or Venmo account balance, PayPal 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 PayPal, 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 Description Summary:
Reporting to our SVP, Global Risk – Common Platforms Product, the Senior Director of Product Management will lead the development and execution of the Global Risk Management AI Platform to enable scalable, efficient, and innovative AI-driven solutions. This executive leader will be pivotal to shaping the future of our Core AI infrastructure, AI offerings, and programmatic interfaces, ensuring that our platform accelerates LLM/agent-based product development, machine learning (ML) innovations, and next-generation AI-driven experiences. This key leader will define the vision, strategy, and execution roadmap for our AI Platform, driving innovation. He or she will work cross-functionally with engineering, data science, and business teams to deliver a robust, scalable, and developer-friendly AI ecosystem.Job Description:
Key Responsibilities:
AI Platform & Infrastructure Strategy
- Define and execute the product roadmap for the AI Platform, ensuring alignment with business objectives and evolving AI/ML capabilities.
- Lead the development of LLM and agent-based products, optimizing model distillation, fine-tuning, RAG, and prompt engineering for real-world applications.
- Drive programmatic API development for seamless integration of AI services across products.
- Ensure scalability, reliability, and performance of AI models, leveraging compute-efficient architectures and inference optimizations.
- Collaborate with engineering on MLOps, model monitoring, bias detection, and governance frameworks to ensure responsible AI deployment.
Building Next-Gen AI/ML Capabilities
- Develop strategies for multi-modal AI (text, speech, vision, structured data) to power next-generation AI-driven experiences.
- Work closely with teams to translate cutting-edge ML advancements into scalable, production-grade solutions.
- Establish best practices for model evaluation, explainability, and ethical AI development, addressing challenges like bias, hallucination, and drift management.
Cross-Functional Leadership & Execution
- Partner with engineering, data science, security, and infrastructure teams to build developer-friendly AI tools, model serving pipelines, and inference APIs.
- Align AI initiatives with broader SaaS product strategies, ensuring AI is embedded seamlessly into our platform offerings.
- Own the AI-powered product lifecycle, from concept to deployment, ensuring seamless integration into customer-facing applications.
Customer & Developer-Centric Approach
- Define and track AI performance metrics (latency, accuracy, cost efficiency, trustworthiness) to ensure best-in-class AI experiences.
- Build frameworks for A/B testing, user feedback loops, and human-in-the-loop validation for continuous AI improvement.
- Foster a culture of data-driven decision-making, ensuring AI models deliver tangible business value.
Required Qualifications & Experience:
- 15+ years of product management experience, with 5+ years leading AI/ML platform teams.
- Deep expertise in LLMs, generative AI, model optimization, and AI-driven SaaS products.
- Strong technical understanding of ML model architectures, distillation, fine-tuning, RAG, prompt engineering, embeddings, and inference optimizations.
- Proven ability to build scalable, cloud-based AI platforms with programmatic APIs and developer-friendly tooling.
- Experience working with AI/ML infrastructure (MLOps, model deployment, GPU/cloud scaling, security & compliance).
- Strong leadership skills, with a track record of scaling AI product teams, driving execution, and fostering cross-functional collaboration.
- Excellent communication skills, with the ability to simplify complex AI/ML concepts for business and executive stakeholders.
Preferred Qualifications & Experience:
- Experience with high-scale distributed AI systems and productionizing ML models for enterprise applications.
- Familiarity with regulatory and ethical AI considerations, including bias mitigation and fairness in AI.
- Background in computer science, machine learning, or a related technical field (MBA or advanced degree is a plus).
Why Join PayPal:
- Lead and shape the future of AI-driven core platforms and intelligent automation.
- Work alongside world-class AI/ML, engineering, and product teams solving industry-defining challenges.
- Influence AI adoption at scale, delivering impactful solutions to millions of users.
- Thrive in a fast-paced, innovation-driven environment, where AI and machine learning are at the heart of our strategy.
Our Ways of Working:
For most employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Additional Job Description:
Subsidiary:
PayPalTravel Percent:
10-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$143400 to $285450For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.
Who We Are:
Click Here to learn more about our culture and community.
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
Tags: A/B testing API Development APIs Architecture Computer Science Engineering Generative AI GPU LLMs Machine Learning ML infrastructure ML models MLOps Model deployment Pipelines Prompt engineering RAG Responsible AI Security Testing
Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Salary bonus Wellness
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