Timeleft

Role Description You will sit within the Tech team and serve as the bridge between engineering and every other department at Timeleft. Your job is to identify, design, and ship internal automations that eliminate manual work across the company. - HR onboarding flows - Support ticket classification - Ops reporting pipelines - Finance reconciliation - Other time-consuming tasks This is not a "connect two Zaps together" role. We expect deep, hands-on experience with AI-native development tools. - Claude Code - Cursor - MCP servers - Agentic workflows - Scheduled AI tasks - Live interactive artifacts You'll work at the intersection of vibe-coding, no-code/low-code platforms, and lightweight scripting. Key Responsibilities - AI-native development and agentic automation - Build and maintain AI-powered workflows - Create custom Skills and plugins for non-technical teams - Design live artifacts and interactive dashboards - Set up scheduled AI tasks for recurring work - Evaluate, prototype, and ship LLM-based automations - Build and connect MCPs to integrate internal systems - Cross-functional automation delivery - Partner with HR, CX, Ops, Finance, and other teams - Own the full lifecycle: intake → design → build → deploy → maintain - Examples: automated employee onboarding, support ticket auto-classification - No-code / low-code solutions - Use platforms like Make, Zapier, n8n, or Retool - Build internal dashboards and admin tools - Vibe-coded applications - Rapidly prototype and ship internal tools - Write Python/TypeScript/SQL scripts for data pipelines - Documentation and handoff - Document every automation for non-technical stakeholders - Train team members on self-service tools Expected Outcomes - 3–5 meaningful cross-functional automations delivered and running in production - Measurable reduction in manual hours for partner teams (target: 20+ hours/week saved) - Automations with clear alerting and fallback paths - Positive feedback from internal "clients" (HR, CX, Ops) Qualifications - Demonstrated AI tool fluency - MCP and agentic workflow experience - Strong scripting in Python or TypeScript - Experience with at least one no-code/low-code platform - Working knowledge of APIs - Basic SQL for querying databases - Proven track record of automations with measured impact - Strong communication skills Requirements - 2–5 years in a role involving automation, internal tooling, integrations, or ops engineering - A portfolio or examples of automations you've built - Active use of AI development tools - Experience working cross-functionally with non-technical teams - Fluency in English required Objectives for the first 3 months - Month 1: Audit and quick wins - Month 2: Pipeline and delivery - Month 3: Process and scale Recruitment process - Introduction interview with Talent Acquisition Lead - Case study assessment - Skills Assessment with future manager - Final interview with a non-technical stakeholder