Senior Product Manager

Posted 2 Days Ago
Hiring Remotely in United States
Remote
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Monte Carlo is building the Data Observability category to accelerate the adoption of data.
The Role
The Senior Product Manager will guide product lifecycle, optimize user activation and retention, ensure effective monetization, and collaborate with cross-functional teams to develop and launch features while addressing customer needs. The role involves working closely with users to validate product requirements and drive adoption in a rapidly growing organization.
Summary Generated by Built In

About Monte Carlo

As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.

About the role:

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. 

  • Building a Data+AI Observability product for technical users. Our solution helps data engineers, data analysts, data 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.

You will report to our CTO.

Location:

Anywhere in the Americas, including US, Canada, and Latin America

Here’s what you’ll be doing:

  • Own our growth work, ensuring we fairly monetize the value our customers get from using our product

    • Maniacally optimize user activation and retention, our north star

    • Ensure our consumption pricing model is frictionless for users

  • Entirely own strategy, roadmap, and execution A-Z for your team

  • Partner with experienced engineers, product designers, and data analysts to ship product features and iterate on them

  • Work directly with our users to gather feedback, validate priorities, define product requirements, and drive adoption

  • Partner with Marketing, Customer Success, Sales, and Support to understand our customers’ pains and roll out solutions

We’re excited about you because you have:

  • 4+ years of product management experience, ideally working on growth initiatives for 1+ years

  • Experience in enterprise SaaS applications, ideally creating products for technical users / with a PLG motion / monetized via a consumption pricing model

  • Track record of shipping impactful products that solve complex business problems

  • An instinct to always speak with customers and understand their pains, while also reviewing analytics

  • A sense of urgency, and a preference for iteration over perfection

#LI-REMOTE

#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

Top Skills

Data Analytics
Data Observability
Product Management
SaaS

What the Team is Saying

Mike Ebbers
Xuanzi Han
Helena Munoz
Cassie Quan
Tim Osborn
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The Company
HQ: San Francisco, CA
173 Employees
Remote Workplace
Year Founded: 2019

What We Do

As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.

Why Work With Us

At Monte Carlo we believe in building our company around great talent, not the other way around. That's why we're a remote-first organization by choice.

We work fast. We solve big problems. And we have a great time doing it.

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Monte Carlo Teams

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About our Teams

Monte Carlo Offices

Remote Workspace

Employees work remotely.

Typical time on-site: None
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HQSan Francisco, CA
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Dallas-Fort Worth, TX, USA
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Bellevue, WA
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Culver City, CA
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Dublin, Ireland
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New York, NY
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Tel Aviv-Yafo, IL
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Valencia, Valencia
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