Senior Lead AI Engineer - G&A Systems

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, and trust at the core Partner with Internal Audit, Security, Legal, and Global IT to ensure compliant and ethical AI deployment Cross-Functional Collaboration & Enablement Work closely with Security, Global IT, and GTM Systems to align on shared AI infrastructure and standards Contribute to and adopt company-wide AI patterns, tooling, and best practices Enable Finance teams to leverage AI by building: Reusable frameworks and workflows Playbooks and training materials Help non-technical stakeholders confidently use and iterate on AI-powered tools Technical Leadership Advocate for scalable, well-governed AI systems that integrate cleanly into Klaviyo’s broader tech ecosystem Act as a key voice in shaping how Klaviyo becomes AI-first internally, starting with Finance systems What Makes You a Great Fit Passion and Curiosity to experiment and reimagine Finance workflows Minimum 5+ years of engineering or data engineering experience, with 2+ years building AI/ML or LLM-powered delivering tangible business outcomes Proven ability to set technical direction and build 0→1 systems with meaningful organizational impact Strong experience with but not limited to: React, JSON, Python, SQL, and modern APIs LLM platforms (OpenAI, Claude, Gemini, etc.) Designing AI-powered workflows, agents, or copilots Integrating to Finance Systems through Runlayer and MCPs Experience integrating with enterprise Financial SaaS systems Experience designing scalable and secure systems, automation frameworks, and internal tools Experience working with sensitive data and implementing responsible AI practices Strong ability to translate ambiguous business problems into scalable technical solutions Bonus Points Experience with Financial systems - NetSuite, Zip, Avalara/Vertex, Zone Advanced Billing  or equivalent systems Familiarity with SOX & ITGCs Familiarity with middleware automation platforms (e.g., n8n, Workato, Zapier) Experience in high-growth SaaS environments Contributions to AI governance, internal AI platforms, or experimentation frameworks Why This Role Matters at Klaviyo This is a foundational role in defining how Klaviyo becomes an AI-first company from the inside out. You won’t just be implementing AI you’ll be: Shaping how Finance  teams operate with AI Defining standards for responsible, scalable internal AI systems Building the blueprint for how AI is embedded across the business If you’re excited about building from scratch, influencing across functions, and applying AI to core business workflows, this role offers a unique opportunity to have outsized impact. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed be