Engineering Team Lead- Agentic Surfaces
Generate a McCoy IQ challenge in 30 seconds.
See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Key details
Why this role is notable
monday.com is building a dedicated engineering team to put AI agents directly into its core work surfaces, signaling that agentic execution inside the everyday product UI is now a first-class product bet rather than a bolt-on feature.
Job Description
About monday.com
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.
About the Group
The Surfaces Group owns monday.com's main work surfaces, the core experience where millions of people plan, track, and run their work every day. That reach puts us where AI meets everyday work: we shape how AI and agents show up where people already work, meeting customers where they are today and taking them where they're going next.
The engineering challenges match the scale: massive datasets in the browser that still feel instant, real-time collaboration across huge accounts, and rendering and data pipelines that keep up with our customers' growth.
About the role
Lead, grow, and mentor a team of about 5 engineers. The exact scope is open, and we'll shape it around your strengths
Own core experiences used by millions end to end, from discovery and architecture to delivery and impact after launch
Take on the hardest technical problems: performance at scale, complex client-side state, and AI quality in production
Make AI genuinely useful in the flow of work, balancing what customers need now with where the product is going.
Define how the team works AI-first, including where to move fast and where quality gates apply
Our stack includes TypeScript, React, Node.js, Ruby on Rails, Redis, MySQL, Kubernetes, and AWS, in a microservices and microfrontends environment
Requirements
3+ years managing engineering teams, and 6+ years building production-grade web applications.
A builder at heart: curious about data, product, and UX, and comfortable owning decisions beyond engineering
A record of shipping user-facing products end to end at scale, with strong technical depth in performance-sensitive, data-heavy products
AI-first in practice: agentic development tools are part of your daily work, and you've brought these practices to a team before
Impact-driven: you measure what matters, and you change course when the numbers say so
Experience shipping GenAI features to production and owning their quality (evals, context engineering, monitoring)- big advantage
Experience building products from scratch in a startup, or scaling a SaaS product through hypergrowth- advantage
#LI-DNI
Interested in working for companies like this one?
Answer a McCoy challenge. Companies hiring in engineering see your response and reach out when they want to talk.
About 15 minutes to prepare and 5 minutes to record. Unlimited retakes and a teleprompter help you answer. No AI training, and you can delete your response anytime.
This isn't an application to Monday.com.
Audit details(provenance, verification trail, raw fields)
Core fields
monday:124de3f6-da44-43de-9772-7354e09aa6bdProvenance
mondayVerification trail
This posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
LLM enrichment
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.