Special Projects - AI & Automation

Responsibilities

Key Responsibilities:

• Identify high-impact AI, automation, and productivity opportunities across commercial and operations teams
• Translate business problems into technical solutions, system requirements, and implementation plans
• Build and prototype AI applications, automation workflows, data products, and internal tools
• Develop solutions using LLMs, APIs, Python, SQL, workflow automation, and modern AI development tools
• Work with data, product, BI, and engineering teams to integrate and scale successful solutions
• Analyze operational data and quantify business impact, productivity gains, and ROI
• Run pilots, iterate based on user feedback, and drive adoption across business teams
• Support selected strategic and operational Special Projects requiring structured analysis and rapid execution

Requirements

Qualifications:

• 3–6 years of experience in one or more of the following:
• Machine Learning / Data Science
• AI or Data Engineering
• Software / Full-Stack Engineering
• Applied AI / Automation
• Strong programming capability, ideally in Python and SQL
• Experience building applications, data pipelines, APIs, automation workflows, or machine learning / AI solutions
• Familiarity with LLMs, generative AI, agentic workflows, RAG, APIs, or AI application development
• Comfortable rapidly prototyping and deploying working solutions rather than only producing requirements or recommendations
• Strong analytical and problem-solving skills with the ability to understand business processes and translate them into technical solutions
• Ability to communicate effectively with both technical and non-technical stakeholders
• Comfortable operating in a fast-moving environment with ambiguous problems and changing priorities

Nice to Have:

• Experience with JavaScript / TypeScript, React, cloud platforms, Git, Docker, n8n, Google Apps Script, or similar technologies
• Experience using tools such as Claude Code, Codex, GitHub Copilot, ChatGPT, or other AI coding platforms
• Experience deploying AI applications or automation into production
• Experience with e-commerce, marketplaces, commercial operations, or large-scale operations
• Previous startup, consulting, special projects, or business transformation experience