AI Automation Specialist

About the role

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.

Responsibilities

• 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.

Requirements

• 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.
• Demonstrated experience building and deploying automation workflows using tools like Make, Zapier, n8n, Airtable, Notion, or similar.
• Comfort with LLM APIs, REST APIs, and webhooks for prompt construction, output handling, and wiring AI steps into larger workflows.
• Ability to work in a modern dev environment (VS Code, GitHub) and take a project from local development to production.
• Process-first mindset: understands the workflow before touching a tool, and knows when to redesign rather than automate.
• Strong written communication — documentation that non-technical stakeholders can actually follow is a core deliverable here.

Qualifications

• 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).
• Familiarity with cybersecurity concepts, third-party risk, or B2B SaaS.
• A portfolio with before-and-after metrics on production automation: time saved, error rate reduced, or cost eliminated.

Skills

• Agentic AI frameworks (LangChain, CrewAI, AutoGen)
• Basic Python or JavaScript
• Data layers (SQL, Airtable, lightweight ETL)
• RevOps, digital marketing, or content operations
• CRM or PM tool exposure (Salesforce, HubSpot, Asana, Jira)
• Security and third-party risk knowledge

Benefits

Base salary range: $65,000 to $80,000, commensurate with demonstrated skills and experience. Compensation at Black Kite extends well beyond base pay — our total rewards program includes performance-based bonuses, equity, flexible healthcare options, paid time off, and retirement savings. This range reflects a nationwide market spectrum and will vary based on qualifications, role scope, complexity, and location.