Ripple

Lead Product Manager, Platform Experience

San Francisco, CA, United States · Exec · Full-time

Sponsorship not specifiedDetected 1 day ago

AzureRESTDesign SystemsProduct ManagementM&ALeadershipCollaborationCFA

About the role

It's big, it's bold, and we're already doing it.
And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
You will define the foundational architecture for one of the fastest-growing platforms in corporate treasury technology, backed by Ripple's global infrastructure and $100B+ in processed payment volume.

Canonical Data Model - Define and maintain the primary data model for Ripple Treasury: counterparties, instruments, accounts, users. This central source of truth serves as the basis for every solution pod's reference.
Identity, Authentication and RBAC - Lead the platform-wide identity and authorizing engine: user authentication, role-based access control, licensing enforcement, and enterprise client configuration.
Cross-Product User Unification - Own the highest-priority platform initiative of 2026: a single identity layer spanning multiple products. Define the architecture, drive the roadmap, and deliver the integration achievement.
Platform Experience Standards - Establish and maintain the standards all pods build to: API contracts, schema governance, authentication patterns, and platform integration protocols.
Success means unblocked delivery by teams building on your platform.
We're committed to building a diverse and inclusive team.

8+ years of product management experience, with at least 4 years owning a platform infrastructure, identity/authentication, or developer platform product in a B2B SaaS or enterprise software environment.
A track record of shipping platform capabilities that demonstrably accelerated dependent team velocity.
Experience leading cross-product or post-acquisition integration work is directly relevant.
Translates platform experience trade-offs into clear product requirements for engineering and product leadership audiences.

Experience with enterprise identity platforms (Okta, Auth0, Azure AD, or equivalent) or licensing/entitlement management systems
Background in master data management (MDM) or canonical data model development in a multi-product environment
Experience in platform consolidation following mergers and acquisitions activity
CTP, CFA or equivalent experience, or treasury management systems (TMS) background
Actual salaries may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position.
Do Your Best Work
Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!

For positions that will be based in CA, the annual salary range for this position is below.

The opportunity to build in a fast-paced start-up environment with experienced industry leaders
A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
Take Control of Your Finances
Competitive salary, bonuses, and equity
Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
Mobile phone stipend
Take Care of Yourself

plicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, militar

This listing is sourced directly from Ripple's careers page and normalized into a canonical job model.