Automation Specialist (AI Automation)

Join Black Kite, a company dedicated to improving cybersecurity. As an Automation Specialist, you will be at the forefront of AI's practical applications, working on infrastructure that enhances productivity and intelligence. You will own the entire project lifecycle, from discovery to continuous refinement, and have the opportunity to make a significant impact on the company's operations.

• Identifying high-friction business challenges and architecting agentic workflows that deliver measurable operational impact.
• Running discovery sessions across various departments to surface automation opportunities and translating findings into clear briefs for design and build.
• Designing and shipping production-grade automations using various tools and platforms, managing work in GitHub, and delivering to production.
• If you're the kind of person who learned to automate things before anyone asked you to, and you want to bring that instinct to a company where it has real impact, 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