Adyen
Staff Engineer - Intelligent Customer Experiences
San Francisco · Staff+
No sponsorship$258k-$367kDetected 1 day ago
TypeScriptJavaReactVue.jsBackend DevelopmentFull-Stack DevelopmentData EngineeringLLMsRAGProduct StrategyRecruitingZero TrustLeadershipCollaboration
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- At Adyen, everything we do is engineered for ambition.
- This role is essential for transforming natural language inputs into authenticated, secure financial operations.
- You will ensure that "intelligent modules" built in are the gold standard for performance and extensibility. - Zero-Trust for AI: Architect the security layer for conversational interfaces.
Responsibilities
- Drive Intelligent Experiences: Lead the next generation of conversational UIs at Adyen.
- You will build Generative UIs that adapt in real-time, moving beyond static dashboards to create streaming, multi-modal experiences where the interface itself is a dynamic partner in the conversation.
- Product Strategy & "The Art of the Possible": Partner deeply with the Head of Product to identify high-impact flows. You aren't just implementing designs
- Full-Stack Leadership: Own the end-to-end technical lifecycle. From backend services and data pipelines that feed our insights, to the frontend components that render them.
- For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers.
- Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
- As a Staff Engineer for Intelligent Customer Experiences, you will lead the evolution of the Adyen experience from a traditional dashboard into an intelligent, conversational financial partner.
- You have experience (or a deep technical interest) in building production-grade interfaces powered by LLMs, including harnesses, policy enforcement, evals, RAG architectures and secure data handling.
- You have a "security-by-design" mindset, particularly regarding the handling of sensitive financial data in modern web environments.
- Success in this role requires you to effectively navigate and collaborate with a large, global organization.
Requirements
- You have a track record of partnering with product teams to turn ambiguous goals into robust technical reality.
- No matter who you are or where you're from, we welcome you to be your true self at Adyen.
Compensation
- This role's annual base salary range is $258-$367k, plus RSUs. To learn more about our compensation philosophy, please click here.
- This role's annual base salary range is $258-$367k, plus RSUs.
Benefits
- Entrepreneurial & Autonomous:
- Our Diversity, Equity and Inclusion commitments
Company info
- This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice.
- We are motivated individuals who tackle unique technical challenges at scale and solve them as a team.
- We are an office-first company and value in-person collaboration; we do not offer remote only roles
- Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice.
- We are looking for a product engineer who can wear an architectural hat to build Agentic Workflows and manage backend orchestration (specifically Tool-use, Chains, and Policy Layers).
Visa & Work Authorization
- You must be work authorized in the United States without the need for new visa sponsorship.
This listing is sourced directly from Adyen's careers page and normalized into a canonical job model.