Product Manager, Monte Carlo
Data Operations
Salary in US currency, may vary in other locations + Equity + Commission
Data observability platform
Be an early applicant
Data observability platform
201-500 employees
Be an early applicant
Salary in US currency, may vary in other locations + Equity + Commission
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
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
Our take
Dozens of billion dollar companies have emerged with a shared focus on easing the burden on engineering teams constantly battling to guarantee reliability in their products. For example, New Relic revolutionized application observability. In the same way, Monte Carlo is tackling data observability.
The service pulls information from metadata log metrics to help teams understand their data health, and if something breaks the product will send proactive notifications. The product is an off-the-shelf SaaS offering that customers can integrate and customize over time.
The company has won some major clients including big tech companies like Affirm and Intuit, but also JetBlue, PepsiCo, CNN, The New York Times, Asics, Rivian and others from many sectors. Its goal is to help companies reduce data downtime and the time data engineers must spend on tedious data quality tasks.
'Data Observability’ became a point of furore in venture capital in 2022. For example, in the span of one week, just three companies raised more than $400 million between them. Staying at the forefront of this industry is an interesting challenge for Monte Carlo, and it met it in 2024 with product enhancements that include new GenAI capabilities for its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2022
$135m
SERIES D
Aug 2021
$60m
SERIES C
Total funding: $236m
Company HQ
Dolores Heights, San Francisco, CA
Leadership
Barr Moses
(CEO)Previously VP of Customer Success Operations for Gainsight. Originally trained as a Management Consultant with Bain & Company. Also attended Stanford where they studied Mathematics and Computer Science.
Lior Gavish
(CTO)Previously SVP of Engineering for another tech startup, Barracuda. Also previously worked for PayPal and holds an MBA from Stanford University.
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