Jobs
We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.
With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.
- About our mission
- Bigbrain empowers every employee regardless of their role or department with best-in-class productivity tools (aka supertools), comprehensive, reliable, and easy-to-access data, and meaningful, actionable insights. We create a more collaborative, efficient, effective, data-driven, and high-performing work environment.
See some more on Big Brain here:
https://www.youtube.com/watch?v=YyIq9Wiv_J0
https://engineering.monday.com/meet-the-geniuses-behind-our-bi-tool-bigbrain/
As a Big Brain Product Manager, you will build solutions that prepare monday for the AI era, drive work effectiveness, reduce operational costs, and empower every function in the company to multiply their impact and thrive in their roles. This role is all about leveraging innovation and cutting-edge technologies to shape the future of work at scale.
You will be reporting directly to the Data and AI infra product group lead.
- 4+ years of experience as a Product Manager with a proven track record of delivering impactful products end to end
- Must.
- Ability to define vision and strategy for complex, infrastructure-level products, and translate AI and data capabilities into simple, high impact solutions.
- Strong business mindset with the ability to balance short term execution with long term platform thinking.
- Comfort working on technically complex systems involving LLMs, retrieval mechanisms, RAG architectures, DWH integrations, and semantic layers.
- Strong analytical skills with experience using both qualitative and quantitative data to drive product decisions.
- High ownership and ability to lead without consensus, align multiple stakeholders, and drive decisions forward.
- Experience working closely with engineers, data scientists, and analysts on AI or data driven products.
- Passion for excellent user experience, with the ability to simplify deep technical complexity into intuitive workflows.
- Strong communication skills and the ability to clearly explain product decisions to both technical and non technical audiences.
- Deep curiosity around AI and LLMs, with a hands on and experimental mindset.
- Fast learner who thrives in dynamic, evolving environments.
https://www.startupforstartup.com/back-to-the-roots-from-founding-a-startup-to-joining-one/
https://www.startupforstartup.com/the-methodology-behind-monday-coms-growth-tactics/
https://www.startupforstartup.com/on-partners-resellers-and-channels-8/
https://www.startupforstartup.com/user-interviews-data-isnt-just-numbers/
https://www.startupforstartup.com/defining-and-measuring-success/
Product Manager (Big Brain)
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About Monday.com

Monday.com
PublicA platform built for a new way of working.
1,001-5,000
Employees
Tel Aviv
Headquarters
$7.8B
Valuation
Reviews
3.6
4 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.0
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Works well for remote team management
Functional from technical perspective
Integrates into team management stack
Cons
Overly demanding implementation requirements
Excessive training requirements (50+ minute sessions)
Creates redundancy with existing tools like Jira
Salary Ranges
2 data points
Junior/L3
Senior/L5
Junior/L3 · Product Manager
0 reports
$400,964
total / year
Base
-
Stock
-
Bonus
-
$340,819
$461,109
Interview Experience
2 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Take-home Assignment
5
Final Presentation Round
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Case Study
Culture Fit
News & Buzz
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