Monte Carlo Data

Senior Product Manager

Americas

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data ReliabilityIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: Not provided
  • About Monte Carlo: Monte Carlo is the data reliability company, the creator of the industry’s first end-to-end Data Observability platform. They work with data-driven companies like Fox, Pepsico, Amazon, and American Airlines to help them achieve trust in data. Named an Inc. Best Workplace for 2024 and a DBTA Readers Choice for Best Data Observability Solution for 2024.

About the role: The Product Management team at Monte Carlo plays a critical role in guiding our products' overall lifecycle - development, adoption, and enhancements. Their primary focus is understanding customers' needs and pain points and aligning the product to address these in intuitive workflows.

Requirements

  • Not provided

Responsibilities

  • 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.

Location

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

Reporting Structure

  • Reports to the CTO

Company Information

  • Company: Monte Carlo
  • Industry: Data Reliability
  • Funding: $236M (from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures)
  • Recognition: Inc. Best Workplace for 2024, DBTA Readers Choice for Best Data Observability Solution for 2024, G2 Best Product for 2023

Skills

Product Management
User Activation
User Retention
Pricing Strategy
Roadmap Planning
Product Requirements
User Feedback
Data Analysis
Customer Discovery
Prioritization

Monte Carlo Data

Provides end-to-end data observability solutions

About Monte Carlo Data

Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.

San Francisco, CaliforniaHeadquarters
2019Year Founded
$229.6MTotal Funding
SERIES_DCompany Stage
Data & Analytics, AI & Machine LearningIndustries
201-500Employees

Benefits

Remote Work Options

Risks

Increased competition from Cribl and BigEye may impact market share.
Technical challenges in integrating with vector databases could affect performance.
New Chief Revenue Officer may lead to strategic shifts disrupting operations.

Differentiation

Monte Carlo offers end-to-end data observability for real-time data monitoring.
The platform integrates with tools like Slack, Teams, and JIRA for seamless communication.
Monte Carlo's root cause analysis speeds up data quality incident resolution.

Upsides

Growing demand for data observability tools boosts Monte Carlo's market potential.
Integration with vector databases opens new opportunities in AI model development.
Real-time data monitoring solutions are increasingly sought after by businesses.

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