Source description
About the role
Core experience
7+ years in integrations, business systems / MIS, or systems engineering within SaaS environments, with senior-level ownership
Hands-on experience integrating systems you don’t control — their APIs (REST, GraphQL, webhooks), auth flows, rate limits, and imperfect data
Proficiency in Python and/or JavaScript (Node.js/TypeScript)
Experience with low-code/iPaaS platforms (Workato, Zapier, Make, Tray) and judgment about when to use them vs. custom code
Experience with AI-to-system integration standards (e.g., MCP)
Familiarity with enterprise systems (Okta, Salesforce, NetSuite, Google Workspace) and with IAM/OAuth, API security, and compliance (SOC 2, ISO, GDPR)
AI & automation
Practical experience building AI-powered workflows, tools, or agents in production
Working understanding of LLM systems — orchestration, tool/function calling, RAG — and a clear sense of when AI is and isn’t the right approach
Execution & ways of working
Deliver in days and weeks, not months: MVP, iterate, scale
Comfortable operating in ambiguity with minimal existing scaffolding
A service mindset toward internal stakeholders, with strong communication and a high bar for documentation and maintainability
Self-driven, proactive, outcome-oriented, and collaborative
Nice to have
Ability to translate business requirements into clear technical definitions and scope
Experience building or operating an internal AI/integration platform used by other teams
Exposure to event-driven architectures or data pipelines
Relevant certifications (e.g., Okta, Salesforce, Workato)
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