AI Platform Operator

Essential Duties And Responsibilities

• Serve as the primary administrator for the AI platform, configuring decision policies, governance rules, and agent instructions.
• QA and validate automated decisions and agent outputs before they go live — catching errors, hallucinations, or drift before they reach the business.
• Tune and iterate on the prompts and instructions that drive AI agents, evaluating outputs and improving them based on results.
• Build, configure, and maintain automated workflows on the platform, connecting the systems and steps an agent needs to do its job.
• Maintain clear documentation of platform configurations, workflows, and governance standards.

Knowledge, Skills, And Abilities

• Platform configuration fluency — comfortable building and administering workflows on a no-code / low-code automation or orchestration platform.
• Prompt fluency — able to write clear, effective instructions for AI agents and evaluate whether their outputs are correct, hallucinated, or drifting.
• QA and validation mindset — a habit of checking outputs carefully before they reach the business, and the patience to trace a bad result back to its cause.
• Conceptual understanding of integrations and APIs — knows what connects to what and can have an informed conversation without needing to build it.
• Comfort with ambiguity — thrives in early-stage environments where the answer isn't always clear and the process is still being built.
• Attention to detail — especially around configuration accuracy, output quality, and documentation.
• Documentation discipline — leaves behind a clear trail so others can understand and maintain what was built.

Required Education And Experience

• Hands-on experience configuring and operating a no-code / low-code automation or workflow-orchestration platform — for example n8n, Zapier, Make, Workato, or Camunda — strongly preferred.
• 2–4 years in a role that required hands-on configuration and administration of a business platform — examples include Salesforce admin, ServiceNow admin, HubSpot ops, RPA/workflow tool admin, or similar.
• Experience with AI platforms, prompt engineering, or automated decision systems.
• Hands-on experience with agentic AI systems — deploying agents, designing agent workflows, writing and governing agent instructions, or operating an agentic platform — strongly preferred.

Nice to Have

• Basic scripting ability (e.g., Python or JavaScript) — useful for custom code nodes in tools like n8n.
• SQL fluency — able to write a join, query data, and validate results.
• Familiarity with Snowflake, Domo, or BI tools such as Tableau or Power BI.
• Dashboard building and interpretation.
• Data validation across systems and general data-quality assessment.
• Experience supporting a data scientist with exploratory analysis and reporting.

When You Apply

Skip the generic cover letter. Tell us about one workflow or automation you actually built and one time it broke and what you did about it. We read these. It's the fastest way for a real builder to stand out from a form filler.