Senior Lead AI Engineer - G&A Systems
About The Position
Klaviyo is seeking a Senior Lead AI Finance Technology Engineer to serve as the first dedicated AI engineer on its Finance Technology team. This foundational technical leadership role will shape the architecture, standards, and long-term vision for embedding AI into Finance operations and help Klaviyo become an AI-first company. The role partners with Finance functions—including Accounting, Tax, Treasury, FP&A, Procurement, and Internal Audit—and adjacent technology teams to ensure financial platforms are reliable, integrated, compliant, and ready to support a public, AI-forward SaaS business. Systems in scope include ERP and financial platforms such as NetSuite and Oracle, procure-to-pay systems such as Zip, revenue and billing platforms, and related integrations and automation. The engineer will reimagine Finance workflows, design and build AI-powered workflows, copilots, and agents, and establish reliable practices for LLM system design, evaluation, testing, security, versioning, and observability. They will identify opportunities to replace manual processes with AI-native solutions, define success metrics, advise Finance leaders, and ensure sensitive financial data is handled securely and responsibly. The role also contributes to shared AI infrastructure and standards, builds reusable frameworks and training resources, and helps non-technical Finance stakeholders confidently adopt AI-powered tools. The position may require up to 10% travel for onboarding, partner or client work where applicable, team meetings, and industry events. Travel is coordinated in advance. The stated U.S. base pay range is $180,000–$270,000. Total compensation may also include an annual cash bonus, equity, sign-on payments, and eligible health, welfare, and wellbeing benefits.
Requirements
- At least 5 years of engineering or data engineering experience.
- At least 2 years building AI/ML or LLM-powered solutions that delivered tangible business outcomes.
- Proven ability to set technical direction and build 0-to-1 systems with meaningful organizational impact.
- Strong experience with technologies including React, JSON, Python, SQL, and modern APIs.
- Experience with LLM platforms such as OpenAI, Claude, or Gemini.
- Experience designing AI-powered workflows, agents, or copilots.
- Experience integrating with Finance systems through Runlayer and MCPs.
- Experience integrating 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.
- Ability to translate ambiguous business problems into scalable technical solutions.
- Curiosity and enthusiasm for experimenting with and reimagining Finance workflows.
Nice To Haves
- Experience with financial systems such as NetSuite, Zip, Avalara/Vertex, Zone Advanced Billing, or equivalent platforms.
- Familiarity with SOX and ITGCs.
- Familiarity with middleware automation platforms such as n8n, Workato, or Zapier.
- Experience in high-growth SaaS environments.
- Contributions to AI governance, internal AI platforms, or experimentation frameworks.
Responsibilities
- Reimagine core Finance workflows—including accounting, procurement, deal desk approvals, revenue, and month-end/quarter-end close—using an AI-first approach.
- Design and build AI-powered workflows, copilots, and agents that automate and augment Finance processes.
- Architect and implement integrations among SaaS platforms such as NetSuite, Zip, Zone Advanced Billing, and Avalara or Vertex.
- Partner with the internal IT AI team to establish best practices for prompt engineering and evaluation, LLM system design and orchestration, and AI system versioning, testing, security, and observability.
- Enable AI use cases that improve execution speed and Finance decision-making.
- Collaborate with stakeholders to translate business problems into scalable AI solutions.
- Identify high-impact opportunities to replace manual workflows with AI-native solutions and define and track metrics for efficiency, time savings, and operational effectiveness.
- Advise Finance leadership on potential AI applications and opportunities.
- Design systems that protect sensitive financial data and support secure, private, and trustworthy AI use.
- Partner with Internal Audit, Security, Legal, and Global IT to support compliant and ethical AI deployment.
- Align with Security, Global IT, and GTM Systems on shared AI infrastructure and standards, and contribute to company-wide AI patterns, tools, and best practices.
- Build reusable frameworks, workflows, playbooks, and training materials to enable Finance teams to use AI.
- Help non-technical stakeholders confidently use and iterate on AI-powered tools.
- Advocate for scalable, well-governed AI systems that integrate with Klaviyo’s broader technology ecosystem and help shape its internal AI-first approach.
Benefits
- Potential participation in the company’s annual cash bonus plan.
- Equity may be included in the total compensation package.
- Sign-on payments may be included in the total compensation package.
- A comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
