About the role
Who you are
- 2–5 years of product management or adjacent experience (e.g., software engineering, sales engineering, or analyst background)
- Experience working on technical SaaS products or a strong interest in data/AI infrastructure
- Care deeply about your work and the outcomes you drive for customers
- A bias toward action - you make decisions quickly, iterate, and value progress over perfection
- Ability to excel in ambiguity and drive projects forward
- Curiosity and a learning mindset - you’re excited to work with senior PMs and engineers to grow your product craft
- Strong communication and collaboration skills; you value working across disciplines and functions
What the job involves
- The Product Management team at Monte Carlo plays a critical role in guiding our products' overall lifecycle - development, adoption, and enhancements
- Our primary focus is understanding customers' needs and pain points and aligning the product to address these in intuitive workflows
- Making our customers extremely happy is our top priority at MC, starting with the product. We serve hundreds of enterprises, allowing us to use meaningful quantitative data as well as personal relationships with users to inform our product work
- We are building a Data+AI Observability product for technical users. Our solution helps data engineers, analysts, scientists, and data governance managers make their data+AI products reliable and trustworthy
- We are the creators and leaders of a new category, meaning building our product is HARD and requires creativity. We need to listen to customers and innovate on their behalf to come up with unique approaches
- Owning impact end-to-end: Our product managers own goals around adoption. Shipping products is not enough, and we make sure we drive significant adoption and impact for customers
- We collaborate with marketing, sales, customer success, and our users to accomplish that
- We are growing quickly: Monte Carlo is growing rapidly in terms of customers, revenue, and headcount. We enjoy the challenges and adventures that come with high-growth environments
- Collaborate with engineers and designers to define and deliver product capabilities that help customers triage alerts and measure data and AI observability initiatives
- Work with customers to understand how they operate their data and AI systems - and translate their pain points into product improvements
- Use product analytics and customer feedback to prioritize and iterate on what drives impact
- Measure your impact by user engagement with alerts and reporting, and how effectively we help them triage and resolve issues
About Monte Carlo
Software Development
201-500
The data estate has changed but data quality management hasn’t. Monte Carlo helps enterprise organizations find and fix bad data and AI fast with end-to-end data observability. We are the #1 in data observability as rated by G2, Ventana, GigaOm, Everest, and other research firms.
About the role
Who you are
- 2–5 years of product management or adjacent experience (e.g., software engineering, sales engineering, or analyst background)
- Experience working on technical SaaS products or a strong interest in data/AI infrastructure
- Care deeply about your work and the outcomes you drive for customers
- A bias toward action - you make decisions quickly, iterate, and value progress over perfection
- Ability to excel in ambiguity and drive projects forward
- Curiosity and a learning mindset - you’re excited to work with senior PMs and engineers to grow your product craft
- Strong communication and collaboration skills; you value working across disciplines and functions
What the job involves
- The Product Management team at Monte Carlo plays a critical role in guiding our products' overall lifecycle - development, adoption, and enhancements
- Our primary focus is understanding customers' needs and pain points and aligning the product to address these in intuitive workflows
- Making our customers extremely happy is our top priority at MC, starting with the product. We serve hundreds of enterprises, allowing us to use meaningful quantitative data as well as personal relationships with users to inform our product work
- We are building a Data+AI Observability product for technical users. Our solution helps data engineers, analysts, scientists, and data governance managers make their data+AI products reliable and trustworthy
- We are the creators and leaders of a new category, meaning building our product is HARD and requires creativity. We need to listen to customers and innovate on their behalf to come up with unique approaches
- Owning impact end-to-end: Our product managers own goals around adoption. Shipping products is not enough, and we make sure we drive significant adoption and impact for customers
- We collaborate with marketing, sales, customer success, and our users to accomplish that
- We are growing quickly: Monte Carlo is growing rapidly in terms of customers, revenue, and headcount. We enjoy the challenges and adventures that come with high-growth environments
- Collaborate with engineers and designers to define and deliver product capabilities that help customers triage alerts and measure data and AI observability initiatives
- Work with customers to understand how they operate their data and AI systems - and translate their pain points into product improvements
- Use product analytics and customer feedback to prioritize and iterate on what drives impact
- Measure your impact by user engagement with alerts and reporting, and how effectively we help them triage and resolve issues
About Monte Carlo
Software Development
201-500
The data estate has changed but data quality management hasn’t. Monte Carlo helps enterprise organizations find and fix bad data and AI fast with end-to-end data observability. We are the #1 in data observability as rated by G2, Ventana, GigaOm, Everest, and other research firms.