Lead Integrations 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 Integrations Engineer to manage our integrations 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 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 and MCPs
- Experience integrating with enterprise Financial SaaS systems
- Experience designing scalable systems, automation frameworks, and internal tools
- Experience working with sensitive data
- Strong ability to translate ambiguous business problems into scalable technical solutions