Senior Product Manager - monday agents

Posted Yesterday
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Tel Aviv, ISR
Hybrid
Senior level
Artificial Intelligence • Productivity • Sales • Software
Power the most ambitious teams.
The Role
Own the vision, strategy, roadmap, discovery, prototyping, launch, and scaling of monday agents. Build AI and agentic products from 0 to 1, conduct customer research, define success metrics, analyze usage data, and iterate rapidly. Partner with engineering, design, analytics, product teams, and leadership to create a consistent agent experience and drive measurable business impact at scale.
Summary Generated by Built In

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.

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.


What You'll Do

As AI Product Manager for monday agents, you will:


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.


Core Experience

  • 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


Skills That Make You Successful

  • 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


Nice-to-Have

  • Experience with platform products or products operating at large scale

  • Background in Computer Science, Engineering, or another technical field


Why This Role Matters

AI agents are changing how work gets done, and monday agents sits at the center of that change at monday.com. In this role, you will:

  • 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 — the industry moves quick and so do we

  • A collaborative, global culture backed by Employee Resource Groups and workplace teams across New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more


#LI-DNI

Skills Required

  • 4+ years of product management experience
  • Hands-on experience building AI products that drove measurable business impact, ideally agentic products
  • Proven track record owning product strategy and taking products from 0 to 1
  • Data-driven approach, including conducting analysis and using data to measure impact and make decisions
  • Strong customer discovery skills and ability to translate user insights into product direction
  • Builder mindset and hands-on use of AI tools and agents
  • Curiosity and drive to solve new problems
  • High ownership and independence in fast-moving environments
  • Ability to lead through influence across engineering, design, analytics, peers, and leadership
  • Strong business understanding and awareness of AI industry trends
  • Openness to feedback and commitment to continuous learning
  • Experience with platform products or products operating at large scale
  • Background in Computer Science, Engineering, or another technical field

What the Team is Saying

Ruchita
Nate
Kyle
Brad Wisselman
Brad Wisselman
Bianca Collado

monday.com Compensation & Benefits Highlights

  • Healthcare Strength — Comprehensive medical, dental, and vision coverage is highlighted, with multiple plan options and HSA availability. In some cases the employer covers a large share of premiums.
  • Retirement Support — Employer 401(k) contributions are explicitly advertised, with automatic contributions described in U.S. postings. This creates a clear baseline of retirement support.
  • Parental & Family Support — Fully paid parental leave is prominently featured, with substantial paid time available to both primary and secondary caregivers. This sits alongside paid sick leave and broader time-off provisions.

monday.com Insights

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The Company
HQ: New York, NY
3,155 Employees
Year Founded: 2012

What We Do

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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monday.com Teams

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About our Teams

monday.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model.

Typical time on-site: 3 days a week
HQNew York, NY
HQTel Aviv
Denver, CO
London
Melbourne
Munich
Paris, France
Sao Paolo
Singapore
Sydney
Tokyo
Warsaw
Learn more

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