AI Generalist

Industry & Sector:

• Lead AI-driven automation projects: identify repetitive processes across support, ops, and sales, and design end-to-end automated workflows using GPT APIs, LangChain, no-code platforms, and webhooks.
• Build, integrate, and maintain automation tooling (Zapier/Make, Retool, custom API connectors); document workflows and ensure reliable handoffs between systems and teams.
• Manage customer onboarding and support escalations—triage technical issues, configure product for customers, and close tickets with a strong customer-first focus.
• Support sales and growth: run technical demos, participate in sales calls, identify upsell/expansion opportunities, and help refine pitch and GTM playbooks with automation-enabled improvements.
• Channel customer feedback into product priorities: prototype solutions with product/engineering, validate hypotheses, and drive rapid experiments to improve retention and engagement.
• Define success metrics and monitor automation performance—track KPIs, identify failure modes, and iterate to improve accuracy, reliability, and ROI of AI workflows.
  

Skills & Qualifications

• 2+ years in AI operations, product ops, customer success, or sales engineering at a SaaS/AI startup or equivalent experience.
• Practical experience with LLMs and prompt engineering; hands-on with GPT APIs and familiarity with LangChain or similar frameworks.
• Proven ability to build automations using no-code platforms (Zapier, Make) and integrate via APIs/webhooks; basic scripting skills (Python or Node.js).
• Experience delivering technical demos, onboarding customers, and acting as a liaison between customers and engineering teams.
• Strong problem-solving, customer empathy, and capacity to own ambiguous cross-functional work with minimal supervision.
• Excellent written and verbal communication skills; comfortable documenting flows, runbooks, and handoffs.
  

Preferred

• Familiarity with Retool, LangGraph, vector search (FAISS), or analytics instrumentation (Mixpanel/Amplitude, SQL).
• Background in sales ops, growth, or founding-team roles with exposure to revenue expansion strategies.
  

• High-ownership role with direct founder exposure and accelerated career growth into leadership (success, growth, or ops).
• Flexible work setup, competitive compensation, learning budget, and the opportunity to experiment with bleeding-edge AI stacks.
• Small, collaborative, fast-paced startup culture that values impact, autonomy, and rapid iteration.