Director, Director, ML Engineering & Agentic Systems

PayPal

Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$242,000–$359,150 / yr
Posted
33 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k
This role $301k
$169k most similar roles pay here $379k

This role pays more than 91% of similar roles. Most pay $201,762–$253,737 — the shaded band above. At the midpoint, this role pays about $301k versus about $228k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 84 open roles on FindRole.

Listed pay typically runs $160,500–$235,826 across 84 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Director, Director, ML Engineering & Agentic Systems

As a senior director of engineering at PayPal in San Jose, you will lead and control the delivery of business and technical outcomes across multiple projects within a domain through organizational and technical leadership. You will define engineering health objectives to drive organization health and operational targets while collaborating with cross-functional leaders to develop an innovative product strategy. Your role involves setting tri-annual roadmaps, establishing annual goals, and managing teams of over 15 people to deliver impactful results at the enterprise level. With a strong background in machine learning and artificial intelligence, you will leverage production experience with large language model-based agentic systems and ML platform infrastructure to tackle complex business challenges. This position requires expertise in fintech or payments, including compliance and transaction systems, as well as the ability to handle high levels of technical ambiguity.

What you'll do

  • Directs and controls the delivery of business and technical outcomes for multiple projects.
  • Defines engineering health objectives to drive organizational health and best practices.
  • Drives product and technical strategy with cross-functional leaders to achieve domain goals.
  • Develops engineering strategy that translates into operational and tactical plans.
  • Sets tri-annual roadmap and defines operational strategy based on budget constraints.

What we're looking for

  • 10+ years of experience in ML/AI with a track record of shipping consumer-facing ML products at scale.
  • At least 4 years of leadership experience managing engineering teams (minimum 15 people).
  • Production experience with LLM-based agentic systems, including multi-agent orchestration and MCP/ACP protocols.
  • Experience building ML platform infrastructure such as feature stores, model serving, and experiment frameworks.
  • Strong technical judgment and ability to review architecture documents and debug model performance issues.
  • Fintech or payments industry experience preferred, including knowledge of compliance, MFA, and transaction systems.

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