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About the Role
Klaviyo is seeking a Senior Integrations Engineer to manage integrations within the Finance Technology (G&A FinTech) team. This role will reimagine how Finance teams operate in an AI-first world by shaping architecture, standards, and long-term vision. You will partner across Finance functions and technology teams to ensure the back-office stack is reliable, integrated, compliant, and ready for a public, AI-forward SaaS business. The role involves owning the roadmap, health, and governance of platforms including ERP, financial systems, procure-to-pay, revenue and billing systems, and related integrations and automation, with a focus on AI and automation.
Responsibilities
- Design and integrate using Workato supporting all business critical projects
- Support all business critical integrations resolving ME/QE and operational issues
- Lead SOX audits and drive them 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
- 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
- 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
Requirements
- Minimum 5+ years of engineering or data engineering experience
- 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
- Experience 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
- Familiarity with SOX & ITGCs
- Experience in high-growth SaaS environments
- Contributions to AI governance, internal AI platforms, or experimentation frameworks
Skills
- Workato or other comparable platform
- Python
- SQL
- Modern APIs
- LLM platforms (OpenAI, Claude, Gemini, etc.)
- Designing AI-powered workflows, agents, or copilots
- NetSuite
- Zip
- Avalara/Vertex
- Zone Advanced Billing
- Middleware automation platforms (e.g., n8n, Workato, Zapier)
Location
- US Locations
Work Type
- Full-time
- Up to 10% travel
Experience Level
- Senior
Salary/Compensations
- $140,000—$210,000 USD
Benefits
- Participation in the company’s annual cash bonus plan
- Variable compensation (OTE) for sales and customer success roles
- Equity
- Sign-on payments
- Comprehensive range of health, welfare, and wellbeing benefits
About the Company
- Klaviyo empowers creators to own their destiny by making first-party data accessible and actionable like never before.
- We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond.
- AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop).
- We provide accommodations as needed.
- By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process.
- For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Equal Opportunity
- Klaviyo is committed to a policy of equal employment opportunity and non-discrimination.
- We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.