Director, Director, ML Engineering & Agentic Systems

Job Summary

This job directs business and technical outcomes, defines engineering health objectives, drives product strategy, evaluates business challenges, develops engineering strategy, sets the organizational roadmap, and collaborates with stakeholders. It involves ensuring alignment with organizational goals and dealing with high levels of ambiguity.

• Directs and controls the delivery of business and technical outcomes that comprise multiple projects and operational activities within a domain through organizational and technical leadership
• Defines engineering health objectives that drive organization health, engineering best practices and operational targets
• Drives product and technical strategy with cross‑functional leaders across the enterprise to deliver domain goals
• Responsible for the delivery of programs, establishing annual organizational goals and ensuring performance and results that impact both the domain and potentially the enterprise
• Develops engineering strategy that translates into operational and tactical plans; uses ground‑breaking methods to think beyond existing solutions
• Sets the tri‑annual roadmap for a domain level organization. Defines the operational strategy for a domain based on a defined budget
• Evaluates key business challenges and can complete complex, ambiguous initiatives having impact across engineering; directs the development of new or innovative solutions. Ability to deal with high levels of technical domain level ambiguity.
• Collaborates with the direct team, managers in the organization, stakeholders, managers in other organizations, external partners and business stakeholders

• 10+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience.
• 2 years of experience leading others.

• 10+ years in ML/AI, with 4+ years leading engineering teams (15+ people)
• Production experience with LLM‑based agentic systems – multi‑agent orchestration, MCP/ACP protocols, or equivalent
• Track record shipping consumer‑facing ML at scale (search, ranking, recommendation or personalization)
• Experience building ML platform infrastructure: feature stores, model serving, experiment frameworks
• Fintech or payments experience is a strong plus – understanding of compliance, MFA, and transaction systems
• Strong technical judgment – ability to review architecture documents, debug model performance, and unblock individual contributors

Pay Pal offers comprehensive, choice‑based programs to support all aspects of personal wellbeing – physical, emotional, and financial – and includes generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Pay Pal 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. Pay Pal will also 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 paypalgloba