About monday agents
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.
monday agents is where we're building the next generation of work agents. It's one of the most strategic areas at monday.com, and because the category is still being defined, we're building it from scratch. We own agents across the company and set the direction for how hundreds of thousands of customers will work with AI agents, and how people and agents will work together.
Responsibilities
Own the Product and Strategy
•Own the product vision, strategy, and roadmap for your area of monday agents, from discovery and prototyping through launch, iteration, and scale.
•Be customer-obsessed: run continuous discovery with customers to understand how they work, where agents can help, and what will make them trust and adopt agents.
•Build 0-to-1 agentic products and define what great work agents look like, including how people and agents collaborate day to day.
•Turn customer insights, market trends, and hands-on experimentation with the latest AI tools into clear product decisions.
Drive Impact at Scale
•Ship products that reach hundreds of thousands of customers, and design them to work reliably at platform scale.
•Define success metrics and dig into the data yourself to measure impact, spot opportunities, and decide what's next.
•Move fast: ship, learn from real usage, and iterate in a high-stakes environment.
Lead Within the Organization
•Work closely with engineers, designers, and analysts as one tight-knit team.
•As the owners of agents at monday.com, partner with product teams across the company who are building on agents, so everything fits together into one consistent agent experience.
•Work with senior leadership to align the monday agents strategy with company-wide AI goals.
Requirements
•4+ years in product management — must
•Hands-on experience building AI products that drove measurable business impact, ideally agentic products — must
•Proven track record of owning product strategy and taking products from 0 to 1, ideally in a fast-moving startup environment
•Data-driven: comfortable running your own analysis and using data to measure impact and make decisions
•Strong customer discovery skills: you spend time with users and turn what you learn into product direction
•A builder mindset: you use AI tools and agents in your own work, whether that's analyzing data, building an agent to run research, or prototyping an idea yourself
•Hungry and curious, with a drive to take on new problems that no one has solved yet
•High ownership and independence: you take things end to end and thrive in fast, sometimes hectic environments
•Able to lead through influence, building trust with engineers, designers, analysts, peers, and leadership
•Strong business understanding and a close eye on where the AI industry is heading
•Open to feedback and keen to keep learning
•Experience with platform products or products operating at large scale
•Background in Computer Science, Engineering, or another technical field
What you'll do in this role
•Help define a category that's still taking shape: what work agents are and how people work with them
•Build for scale, with what you ship reaching hundreds of thousands of customers worldwide
•Work hands-on with frontier AI every day, solving new product and technical problems
What monday.com can offer you
•Join a customer-obsessed team where transparency and ownership are how we actually operate — not just things we put on a wall
•Work on a multi-product suite powered by advanced AI, where what you ship reaches hundreds of thousands of customers worldwide
•Competitive salary, benefits, bonus potential, and equity eligibility for many roles — we believe people should share in our success
•Grow fast through a dedicated L&D team, AI workshops, bootcamps, and internal hackathons
•A collaborative, global culture backed by Employee Resource Groups and workplace teams across New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more
