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Lead Integrations Engineer - G&A Systems

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Klaviyo
Full Time position
Listed on 2026-10-29
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Business Systems & Technology Analysis, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

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  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.

Senior Integrations Engineer

We're looking for a Senior Integrations Engineer to manage our integrations within our Finance Technology (G&A Fin Tech) 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., Net Suite/Oracle), procure‑to‑pay (e.g.,Zip), revenue and billing systems, and related integrations and automation.

This role is not just about using integration platforms but with an AI & Automation mindset.

What You’ll Be Doing AI-First Finance Systems & Architecture
  • Design & Integrate using Workato supporting all business critical projects
  • Support all business critical integrations resolving ME/QE and operational issues
  • Lead SOX audits and drive it to closure
  • Pursue other automation opportunities that elevate business productivity
  • 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
  • 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 & Automation solutions
Driving an AI-First Operating Model
  • Identify high-leverage opportunities to replace manual workflows with Automation and AI-native solutions
  • Define and track success metrics tied to efficiency gains, time savings, and operational effectiveness
  • 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 infrastructure and standards
  • Enable Finance teams by democratizing Workato and to leverage AI by building:
    • Reusable frameworks and workflows
    • Playbooks and training materials
  • Help non-technical stakeholders confidently use and iterate Workato and other platform tools
What Makes You a Great Fit
  • Passion and Curiosity to experiment and reimagine Order to Cash, Procure to Pay and Record to Report workflows
  • Minimum 5+ years of engineering or data engineering experience, with 2+ years building Workato, 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:
    • Workato or other comparable platform
    • Python, SQL, and modern APIs
    • LLM platforms (OpenAI, Claude, Gemini, etc.)
    • Designing AI-powered workflows, agents, or copilots
    • Integrating to Finance Systems through Runlayer…
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