Senior Lead AI Engineer - G&A Systems
Klaviyo · San Francisco, CA
About this role
At Klaviyo, we value the unique backgrounds, experiences, and perspectives each Klaviyo brings to our workplace every day. We believe everyone deserves a fair shot at success—even if you’re a close, but not exact, match. Learn more about life at Klaviyo: http://klaviyo.com/careers Klaviyo is building an AI-first company—and that starts with how we support and scale our people. We’re looking for a **Senior Lead AI Finance Technology Engineer** to be the first dedicated AI engineer within our **Finance Technology (G&A FinTech)** team. As an early leader in this space, you’ll reimagine how our Finance teams operate in an AI-first world by shaping our architecture, standards, and long-term vision. You’ll partner across all Finance functions—**Accounting, Tax, Treasury, FP&A, Procurement, and Internal Audit**—as well as adjacent technology teams like **Corporate IT, Data, and GTM Systems**. You’ll help ensure our back-office stack is reliable, well-integrated, compliant, and ready for a public, AI-forward SaaS business. This role focuses on defining how AI becomes embedded into Finance at Klaviyo. ## What You’ll Be Doing ### AI-First Finance Systems & Architecture - Reimagine core Finance workflows (accounting, procurement, deal desk approvals, revenue, ME/QE close cycle, etc.) through an AI-first lens—not just incremental automation. - Design and build AI-powered workflows, copilots, and agents that automate and augment Finance processes. - Architect and implement systems that integrate across SaaS such as **NetSuite/Oracle**, **Zip**, **Zone Advanced Billing**, and **Avalara/Vertex** (and more). - Partner with our internal IT AI team and establish best practices for: - Prompt engineering and evaluation - LLM system design and orchestration - Versioning, testing, security, and observability of AI systems - Enable AI use cases (copilots, assistants, automated workflows) that drive faster execution and better decision-making for Finance teams. - Collaborate with stakeholders to translate business problems into scalable AI solutions.
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