5 hours ago
Responsibilities
- Embed with Finance teams to diagnose workflows and translate business, data, and control requirements into AI and automation solutions.
- Build and operationalize AI agents and end-to-end Finance solutions from prototype through validation, monitoring, documentation, and handoff.
- Write and optimize complex SQL for data extraction, transformation, calculation, validation, and pipeline logic.
- Design reusable knowledge layers, evaluation methods, validation patterns, data-quality frameworks, and reusable components.
- Partner with Engineering on custom tools and integrations, including Model Context Protocol solutions where appropriate.
- Build alongside users, gather feedback from real deliverables, and iterate toward trusted workflow solutions.
- Create SOPs, runbooks, training, and self-service tooling so Finance teams can operate and maintain deployed solutions.
- Establish monitoring, observability, metrics, alerting, and incident-response processes for deployed agents.
- Diagnose technical and data issues, collaborate on deeper platform changes, and measure adoption and impact.
Requirements
- At least 5 years of experience in data analytics, technical operations, business intelligence, automation, solutions delivery, or a related field.
- Hands-on experience building AI-enabled tools, agents, automations, or workflows that changed a real business process.
- Strong SQL proficiency, including complex queries with CTEs, window functions, and joins.
- Experience independently scoping and delivering technical process-improvement solutions from problem definition through adoption.
- Strong analytical, investigative, debugging, written communication, and verbal communication skills.
- Experience teaching, coaching, documenting, training, or transferring ownership of technical solutions to users.
- Working knowledge of version control, testing, code review, and iterative delivery practices.
- Experience with low-code tools, scripting, workflow automation, AI-assisted development, or custom integrations.
- Preferred experience includes Finance Operations, FP&A, Accounting, Treasury, Tax, Payments, Python, Databricks, ETL/ELT, data pipelines, data-quality controls, Model Context Protocol, financial systems, change management, internal tools, and large-scale enablement.
Categories
AI ApplicationsData Engineering
About Stripe
Stripe builds financial infrastructure for internet businesses, offering APIs and tools for online and in‑person payments, subscriptions, marketplaces/payouts, fraud prevention, identity, tax, issuing, and treasury. It monetizes through per‑transaction fees and SaaS pricing for advanced products. Founded in 2010 and headquartered in South San Francisco, Stripe is privately held and serves companies from startups to large enterprises worldwide.