Stripe is hiring a Product Manager - Compliance, Bridge in 8504 Bridge - R&D — New York, San Francisco or Remote. The overview below is synthesized from the employer posting on stripe.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Who we are
About Bridge
Company context from the listing:
We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins.
We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.
About the team
Company context from the listing:
Join our Product team to build the systems that make global, programmable money trustworthy at scale. At Bridge, we're not just improving global payments—we're reinventing how money moves across borders using stablecoins and modern financial infrastructure.
As a Product Manager for Compliance, you'll own the products and systems that allow Bridge to scale safely across geographies, partners, and transaction volumes. You'll work at the intersection of product, engineering, data, compliance, and operations to design customer compliance systems that are fast, adaptive, and deeply embedded in how our platform works.
This role is about enabling high-velocity growth with strong controls—using real-time decisioning and thoughtful product design to move fast without cutting corners.
What you'll do
Day-to-day scope for the Product Manager - Compliance, Bridge as described in the posting:
Responsibilities
Day-to-day scope for the Product Manager - Compliance, Bridge as described in the posting:
- Own the core compliance control plane by defining and delivering the unified API and self-service platform that serves as the single source of truth for all large-scale, ongoing compliance program execution
- Drive operational autonomy and safety by leading the strategic shift to enable non-engineering teams to autonomously manage global compliance programs end-to-end, building in guardrails and intelligence to eliminate operational errors and achieve zero unintended business disruptions
- Maximize engineering and data leverage by ensuring the platform's architecture and data model are highly accurate and extensible, shifting the engineering focus from manual execution and data cleanup to platform innovation and automation across all operational workflows
Who you are
Experience and skills the team lists as required:
The listing frames the Product Manager - Compliance, Bridge at Stripe as a hands-on product role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
Experience and skills the team lists as required:
- 8+ years in Product Management, specifically in shipping large-scale, complex, and technical platform or infrastructure products
- Proven experience leading ambitious, ambiguous 0-to-1 projects that require significant cross-functional alignment and organizational change
- Deep understanding of API design and data modeling principles, with a track record of building reusable, high-leverage components
- Strong communication, influence, and stakeholder management skills to negotiate timelines and align roadmaps across multiple organizations
- Data-driven approach to product management, with experience defining and tracking metrics related to operational efficiency, platform health, and system accuracy
Preferred qualifications
Experience and skills the team lists as required:
- Experience building internal tooling or "platform-as-a-service" offerings that successfully centralize and automate decentralized operational workflows
- Background working on regulated products that utilize machine learning or AI to automate complex decision-making processes or generate optimized operational plans