Software Engineer Tech Lead – AI Workflows & Automations

About the team

AI Workflows & Automations is the team building monday.com's engine for turning intent into action — the layer that lets both our customers and our own R&D organization describe an outcome and have AI agents plan, execute, and verify the work. We own the automation and workflow infrastructure that powers AI-driven execution across the platform: from the building blocks that let agents trigger, sequence, and monitor multi-step processes, to the frameworks that make those processes reliable, observable, and safe to run autonomously at scale.

We sit at the intersection of product and internal developer experience: the same primitives we build for customer-facing AI workflows also shape how monday.com engineers themselves use AI to plan, build, test, and ship. We're a small, senior team that moves fast, cares deeply about simplicity, and treats AI not as a bolt-on feature but as a first-class way of working.

About the role

As Tech Lead, you'll set the technical direction for how AI Workflows & Automations builds — and how it uses AI to build better and faster. This is a hands-on role: you'll be writing code, reviewing architecture, and in the weeds with the team day to day, while also owning the strategy for how AI-assisted development gets adopted, measured, and improved across the group.

• Lead the design and delivery of core workflow and automation infrastructure, from architecture through production, while staying hands-on in the codebase.
• Champion and operationalize AI-assisted development across the team — from AI-native coding workflows and agent-driven PR review to automated testing, spec generation, and release processes.
• Define and evolve the team's engineering strategy for leveraging AI throughout the SDLC: identify where AI tooling genuinely speeds up delivery versus where it adds noise, and make the call.
• Drive process improvements that compound — tightening feedback loops, reducing manual toil, and raising the bar on quality without adding ceremony.
• Mentor engineers on both the craft of software engineering and the emerging craft of working effectively alongside AI agents and copilots.
• Partner closely with product, design, and adjacent R&D teams to translate ambiguous problems into clear technical plans.
• Own technical decision-making for the team: architecture tradeoffs, build-vs-buy calls on AI tooling, and when to invest in platform work versus feature velocity.
• Our stack: Node.js, TypeScript, React, AWS, Kubernetes, Redis, MySQL, Elasticsearch, and a growing set of in-house and third-party AI agent frameworks.

Requirements

• 7+ years of professional software engineering experience, including full-stack application development end-to-end.
• 2+ years in a tech lead, staff, or similar role owning technical direction for a team, not just a feature.
• Hands-on experience using AI tools (copilots, agentic coding tools, LLM-based automation) to meaningfully speed up real engineering work — not just experimentation.
• Strong system design and architecture skills, with the judgment to know when simple beats clever.
• Track record of driving process or workflow improvements that measurably improved a team's velocity or quality.
• Experience building workflow, automation, or orchestration systems is a strong plus.
• Excellent communication skills — able to turn ambiguity into a plan and bring a team along with you.
• Team player, low-ego, strong sense of ownership, comfortable both coding and setting direction.
• DevOps experience (AWS, K8s, CI/CD) — advantage.