Who we are About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of
companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue,
and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of
work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the
most important work of your career.
About the team
Stripe's Financial Connections group is building technology
that expands the scope of problems we tackle beyond card payments. We aspire to enable individuals and businesses to securely
share their financial data to improve their product experiences. With more high-quality customer financial data, both Stripe and
our users can offer better products to their customers. We have ambitious goals to enable all global businesses to run their
entire financial life cycle on Stripe, and we want you to be part of our story.
Technical Operations roles
in Financial Connections are a dynamic and critical component of the organization's success. We sit at the intersection of product
and platform engineers, financial partners, and AI systems—connecting them to ensure that nothing is lost in translation and that
the systems underpinning Stripe’s open banking ecosystem remain reliable at scale.
What you'll do
Operate, maintain, and expand banking integrations
- Become a domain expert in open banking, financial data
access, and data aggregation—the systems, the partners, and the failure modes
- Own integration health end-to-end: triage
degradations, diagnose root causes, coordinate with financial partners, and drive resolution with urgency
- Handle
technical inquiries from internal Stripe teams and external partners, often requiring deep investigation and targeted code or
configuration changes
- Build and launch new financial partner integrations using agentic tooling
- Conduct complex
data analysis to investigate product performance, scope partner requirements, and surface reliability insights
Build agentic systems and automation
- Design, build, and ship LLM-powered agentic workflows that streamline and
automate high-volume operational tasks
- Operate as a Human-in-the-Loop reviewer for automated processes that carry
meaningful risk, applying your domain expertise where automation alone isn't sufficient
- Identify inefficient or manual
processes and eliminate them through AI-powered automation, code changes, or driving complex process improvements across
Stripe
Partner and scale
- Serve as a technical point of contact for financial partners—troubleshooting
issues, aligning on product usage, and managing relationships with clear communication
- Provide authoritative technical
context to cross-functional partners including product, partnerships, compliance, and legal
- Design and improve anomaly
detection systems and observability tooling to ensure data flowing through partner and internal systems is reliable and
correct
Who you are
We're looking for someone who meets the minimum requirements to be
considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus,
not a requirement.
TechOps IRE roles combine software engineering, data analysis, AI systems development,
and cross-functional partner management. The ideal candidate brings experience across technical systems, data investigation, and
complex project ownership—and finds genuine satisfaction in making things run reliably at scale through both human judgment and
intelligent automation. Successful candidates may index more highly in one area than another.
Minimum requirements
- Strong technical problem-solving skills, with the ability to develop a working understanding of complex systems through a
variety of methods: reading and writing code, studying documentation and partner specifications, running debugging tools, reading
logs, querying raw data, and asking precise questions of domain experts
- Experience building with AI and LLM tooling with
established clear outcomes—you don't need experience with any specific framework, but you should be able to pick up new tools
quickly and think clearly about where automation adds value versus where human judgment is required
- Strong SQL skills and
proficiency navigating a variety of data systems to diagnose and scope issues
- Comfort with developer tools (e.g. git) and
an ability to make well-scoped code changes in a large codebase
- Strong written and verbal communication skills, with the
ability to frame messages appropriately for both technical and non-technical audiences
- An instinct to build solutions
that increase the leverage of the people around you—not just to solve the problem in front of you, but to eliminate the class of
problem
Preferred qualifications
- Knowledge of and experience with payment technologies, open banking,
and financial data ecosystems
- Experience designing or operating agentic or LLM-powered workflows in a production
environment
- Proficiency with Presto, Splunk, or similar data querying and log analysis tools
- Experience managing
technical relationships with external partners or vendors