Automation EngineerVerified as a real position

Who we’re looking for

• Must have: Demonstrated AI tool fluency — hands-on experience building with Claude Code, Cursor, or equivalent AI coding tools. Not "I've tried it" — you should have shipped something real with these tools and be able to walk us through it
• MCP and agentic workflow experience — built or configured MCP servers, connected tools to AI agents, or created custom Skills/plugins for agentic platforms
• Strong scripting in Python or TypeScript — you can architect a working system, not just write one-off scripts
• Experience with at least one no-code/low-code platform (Make, Zapier, n8n, Retool, Bubble)
• Working knowledge of APIs — REST, webhooks, OAuth — and ability to wire up third-party services
• Basic SQL for querying databases and feeding automations
• Proven track record of automations with measured impact — you can point to specific projects and say "this saved X hours/week" or "this reduced error rate by Y%"
• Strong communication skills — you'll spend as much time understanding problems as building solutions
• Nice to have: Experience building Cowork Skills, scheduled tasks, or live artifacts
• Familiarity with prompt engineering patterns for production use (not just chat)
• Experience with workflow orchestration (Temporal, Airflow, or even well-structured cron)
• Knowledge of Google Cloud Platform, Supabase/PostgreSQL
• Experience building Slack bots, internal chatbots, or AI agents
• Background in process improvement or operations
• Soft skills: High autonomy — you'll often be the only engineer on a project
• Ability to translate vague "we need this automated" requests into clear requirements
• Bias toward shipping fast over building perfectly
• Comfortable saying "no" to requests that don't justify the effort
• Required Experience 2–5 years in a role involving automation, internal tooling, integrations, or ops engineering
• A portfolio or examples of automations you've built with measurable outcomes — we want to see what you shipped, what tools you used, and what the before/after looked like. Side projects, freelance work, and internal tools all count
• Active use of AI development tools — you should be building with Claude Code, Cursor, or similar tools today, not planning to learn them on the job
• Experience working cross-functionally with non-technical teams
• Fluency in English required

What you’ll do

• AI-native development and agentic automation
• Build and maintain AI-powered workflows using Claude Code, Cowork, MCP servers, and agentic frameworks
• Create custom Skills and plugins that encode repeatable workflows for non-technical teams
• Design live artifacts and interactive dashboards that pull real-time data from internal tools via MCP connectors
• Set up scheduled AI tasks for recurring work — weekly reports, data quality checks, digest generation, Slack summaries
• Evaluate, prototype, and ship LLM-based automations: classification, extraction, summarization, drafting, routing
• Build and connect MCPs to integrate internal systems (Google Workspace, Slack, Notion, Jira, etc.) into AI workflows
• Cross-functional automation delivery
• Partner with HR, CX, Ops, Finance, and other teams to identify and prioritize automation opportunities
• Own the full lifecycle: intake → design → build → deploy → maintain
• Examples: automated employee onboarding (Google Workspace provisioning, Slack invites, welcome emails), support ticket auto-classification and routing, automated reporting and alerting
• No-code / low-code solutions
• Use platforms like Make (Integromat), Zapier, n8n, or Retool where they're the fastest path to value
• Know when no-code is the right call and when you need to write actual code
• Build internal dashboards and admin tools using low-code frameworks
• Vibe-coded applications
• Rapidly prototype and ship internal tools using AI-assisted development (Claude Code, Cursor, Copilot)
• Write Python/TypeScript/SQL scripts for data pipelines, integrations, and automation
• Comfortable with pragmatic code that solves the problem — ship fast, iterate based on feedback, harden what sticks
• Documentation and handoff
• Document every automation so non-technical stakeholders can understand what it does, when it runs, and who to contact when it breaks
• Train team members on self-service tools where appropriate

About the position

Timeleft is a social app that brings strangers together. We match people into groups of 6 and send them to restaurants, cafés, and bars for dinners, drinks, coffees, and runs. Every week, 150,000+ people use Timeleft across 200+ cities in 52 countries. We're 100 employees — and the product, the operations, and the pace are scaling faster than the team. That means every department — HR, Support, Ops, Finance, Marketing — is running into the same wall: too much manual work, not enough hands. We need someone to tear those walls down. That's where you come in.