About this role
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
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, to ensure our back‑office stack is reliable, well‑integrated, compliant, and ready for a public, AI‑forward SaaS business. We own the roadmap, health, and governance of platforms including our ERP and financial systems (e.g., NetSuite/Oracle), procure‑to‑pay (e.g.,Zip), revenue and billing systems, and related integrations and automation. This role is not just about applying AI it’s about defining how AI becomes embedded into the 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, Zip, Zone Advanced Billing, Avalara/Vertex to name a few
• 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
Driving an AI-First Operating Model
• Identify high-leverage opportunities to replace manual workflows with AI-native solutions
• Define and track success metrics tied to efficiency gains, time savings, and operational effectiveness
• Act as a thought partner to Finance leadership on what’s possible with AI, not just what’s requested
• Responsible AI, Privacy & Governance: Design systems that handle sensitive financial data with security, privacy,