Job Description:
• Architect and implement scalable workflow automations, system integrations, and data pipelines that reduce manual work and improve reliability across business functions.
• Build AI-powered automation solutions (e.g., intelligent triage, summarization, data extraction, content generation, decision support) using enterprise-safe LLMs and AI services.
• Own end-to-end integration lifecycle: requirements, design, security review, development, testing, deployment, monitoring, and continuous improvement.
• Integrate with APIs, webhooks, and message queues to connect SaaS apps and internal systems.
• Establish robust governance and guardrails for AI and automation: access controls, prompt hygiene, evaluation/QA, data privacy, observability, and cost management.
• Create reusable components, recipes, and playbooks in Workato (or similar iPaaS) to accelerate new automations.
• Partner with IT, Security, Legal, and business stakeholders to ensure solutions meet compliance, privacy, and risk requirements.
• Lead enablement and upskilling: deliver trainings, office hours, and documentation to help teams adopt AI responsibly and effectively.
• Define success metrics and measure business impact (time saved, error reduction, SLA improvements, user satisfaction).
• Troubleshoot, monitor, and continuously optimize integrations for performance, reliability, and cost.
Requirements:
• 5+ years in a technical role (e.g., integrations, automation, RPA, software engineering, systems engineering, or data engineering) with a proven track record of delivering cross-functional automation initiatives.
• Deep experience developing AI-based solutions for business audiences.
• Hands-on experience building production-grade automations and integrations across business units (e.g., Finance, Operations, Customer Support, People, Sales/RevOps).
• Strong proficiency with at least one iPaaS or automation platform; Workato is highly preferred.
• Fluency in APIs and data formats: REST/GraphQL, OAuth2, JSON, CSV, webhooks, pagination, rate limits, and error handling.
• Programming skills in Ruby, Python or TypeScript/JavaScript for custom connectors, transformations, and AI orchestration.
• Solid command of SQL and data modeling for integrations, ETL/ELT, and analytics enablement.
• Familiarity with LLM integration patterns (prompt design, function/tool calling, embeddings, retrieval/RAG, vector databases, evaluation/guardrails).
• Experience with major enterprise apps (Salesforce, NetSuite), secrets management, role-based access control, and CI/CD.
• Strong communication skills with the ability to translate business needs into technical solutions, and to coach non-technical stakeholders on AI and automation.
• Commitment to security, privacy, and responsible AI practices.
Benefits:
• health and wellness benefits
• retirement savings plans
• short- and long-term incentives
• parental leave
• family-forming assistance
• competitive compensation package
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