Lead Integrations Engineer - G&A Systems
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
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 below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Base Pay Range For US Locations:
$140,000—$210,000 USD