Automation Specialist (AI Automation)

Responsibilities This role sits at the intersection of Black Kite’s mission and AI’s most practical applications: not demos, not research, but infrastructure that makes everyone around you faster and smarter. Working alongside our AI Strategy lead, you will own the full project lifecycle: discovery, design, build, documentation, performance tracking, and continuous refinement You don’t need a traditional software engineering background or a computer science degree to succeed here. We care far more about what you’ve built than how you built it, whether using no-code tools, LLM APIs, agentic frameworks, or a combination of all of the above Identify high-friction business challenges and architect agentic workflows that deliver measurable operational impact Run discovery sessions across Marketing, Sales, Operations, Customer Success, HR, and Engineering to surface automation opportunities and translate findings into clear briefs for design and build Design and ship production-grade automations using Claude Code, OpenAI Codex, no-code/low-code platforms (n8n, Make, Zapier), and LLM APIs. Manage work in GitHub; deliver to production, not handoffs Connect AI capabilities to our existing stack, including Slack, HubSpot, Jira, Salesforce, and Google Workspace, to cut repetitive work, improve output quality, and accelerate decisions Build and maintain Skills, prompt libraries, AI templates, and workflow documentation that non-technical teammates can use independently Monitor deployed automations, respond to failures, handle edge cases, and track performance metrics: time saved, error rate, and cost reduction Contribute to a live use-case registry and Black Kite’s internal AI roadmap alongside the AI Strategy lead Evaluate and recommend tools for adoption; support procurement for what you propose. Apply sound judgment on data sensitivity and governance per our AI Acceptable Use Policy Qualifications Show us the work Strong written communication — documentation that non-technical stakeholders can actually follow is a core deliverable here Comfort with LLM APIs, REST APIs, and webhooks for prompt construction, output handling, and wiring AI steps into larger workflows Process-first mindset: understands the workflow before touching a tool, and knows when to redesign rather than automate Bachelor’s degree in a relevant field or equivalent experience, plus 1–2 years in a business analyst, operations, digital marketing, or adjacent role Hands‑on experience with at least one AI platform (Claude, ChatGPT, Gemini, or equivalent) applied to real work tasks — building and iterating on solutions, not just prompting Ability to work in a modern dev environment (VS Code, GitHub) and take a project from local development to production Demonstrated experience building and deploying automation workflows using tools like Make, Zapier, n8n, Airtable, Notion, or similar Experience with agentic AI frameworks (LangChain, CrewAI, AutoGen) or multi-step AI pipelines Basic Python or JavaScript; familiarity with data layers (SQL, Airtable, lightweight ETL) Background in RevOps, digital marketing, or content operations; CRM or PM tool exposure (Salesforce, HubSpot, Asana, Jira) A portfolio with before-and-after metrics on production automation: time saved, error rate reduced, or cost eliminated Familiarity with cybersecurity concepts, third‑party risk, or B2B SaaS #J-18808-Ljbffr Black Kite