QA Automation Engineer

• Design, build, test, deploy, and maintain AI-powered internal applications, automations, and workflow integrations
• Translate business use cases into technical specifications and implementation plans with leadership
• Recommend technical approaches, AI models, development tools, data architectures, and deployment approaches
• Use Claude Code, ChatGPT/Codex, and similar agentic development environments to build and improve applications
• Develop workflows combining client/listing information, market data, and structured research to identify potential buyers and strategic acquirers
• Build structured target lists, buyer evaluation workflows, buyer scorecards, deal-team briefings, and seller-facing buyer summaries
• Incorporate human-in-the-loop review before external use
• Integrate tools with Fireflies, Streak CRM, Google Workspace, internal documents, APIs, and approved platforms
• Build and maintain APIs, databases, data pipelines, backend systems, and intuitive internal applications
• Develop test plans and conduct end-to-end testing of AI workflows, applications, and integrations
• Troubleshoot technical issues, workflow failures, and edge cases; maintain existing applications
• Apply data security, access permissions, and confidentiality standards
• Collaborate with leadership and communicate technical recommendations, tradeoffs, progress, and requirements to non-technical stakeholders
• Document technical decisions, workflows, maintenance requirements, and development priorities
• In the first 30 days, understand existing workflows, identify dependencies and security considerations, present an AI automation roadmap, and begin a priority prototype or integration

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