Product manager

Product manager

Company details

Description of the offer

As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the “New Relic for data”, Monte Carlo supports some of the world’s most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.

Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.

About the Team

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.

You should join our team if the following resonates with you!

• 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.

About the Role

• 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.

Qualifications

• 2–4 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.

About you

• 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.

#LI-REMOTE

#BI-REMOTE

Come As You Are

Equality is a core tenet of Monte Carlo’s culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are proud to be recognized for our world-class employee experience:

Monte Carlo Named to American’s Most Loved Workplace List 2024

Monte Carlo Named an Inc. Best Workplace for 2024

Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024

Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024

Monte Carlo Named the 2025 Databricks Governance Partner of the Year

Monte Carlo #1 Data Observability Platform G2 for 8th Consecutive Quarters 2025

Beware of Imposter Recruiters and Job Scams

• All official communication from our recruiting team will come from an @montecarlodata.com email address.
• We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.
• We will never request payment for equipment, training, or application processing.
• Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.

If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at recruiting@montecarlodata.com before sharing any personal information.

Location of employment

How to apply?

• Apply with LinkedIn