Program Manager, Risk Operations GTM Enablement

Stripe Careers

On-siteSeniorFull-timeassigned Stripes in most of our locations are currently expected to spend at lea

In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflo

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What the employer asks for

Pay and benefits [...] Serve as a trusted advisor by preparing strategic reviews for senior stakeholders and managing critical escalations
Translate user friction into program evolution by establishing structured, data-driven approaches to gather user feedback and turning those insights into actionable product and operational improvements
Diagnose and resolve systemic operational gaps before they impact our users, building self-healing processes and scalable internal infrastructure
Champion Stripe’s Operating Principles by fostering a high-performance culture that values rigorous thinking, rapid execution, and putting users first [...] ## We look forward to hearing from you.
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Operations
Office location
Dublin HQ
Employment type
Full time
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Courses relevant to this posting

Relevance is based on skills and concepts — not a guarantee that you qualify.

Designing Information Systems for AI Agent Consumption
Covered skills:None listed
Skills to close:None listed

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Coming-soon courses matched to this posting — outline, waitlist, and skill path.

Course DNA for this role

Designing Information Systems for AI Agent Consumption

7 chapters · 32 lessons

1. How Agents Read and Extract Information
4 lessons
Understand the technical pipeline agents use to fetch, parse, and extract meaning from web pages and documents.
2. Structured Data and Semantic Markup Fundamentals
5 lessons
Apply schema vocabularies, JSON-LD, and metadata patterns to make facts explicit and extractable.
3. Content Architecture for Agent Legibility
5 lessons
Design page structures, navigation, and content hierarchies that support both human and machine comprehension.
4. Retrieval-Augmented Generation in Practice
4 lessons
Understand how RAG systems combine search, embeddings, and language models to ground agent responses.
5. API and Data Interface Design for Agents
5 lessons
Build machine-first interfaces that expose product, inventory, policy, and transactional data in agent-friendly formats.
6. Auditing and Optimizing for Agent Readability
4 lessons
Evaluate existing content and systems, identify friction points, and prioritize improvements for agent workflows.
7. Real-World Applications Across Domains
5 lessons
Apply agent-first design principles to commerce, documentation, policy systems, and enterprise knowledge bases.

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What the employer asks for

Courses relevant to this posting

Build the skills for this job

Designing Information Systems for AI Agent Consumption

1. How Agents Read and Extract Information

2. Structured Data and Semantic Markup Fundamentals

3. Content Architecture for Agent Legibility

4. Retrieval-Augmented Generation in Practice

5. API and Data Interface Design for Agents

6. Auditing and Optimizing for Agent Readability

7. Real-World Applications Across Domains

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