Monte Carlo Data

Inbound Sales Development Representative

United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Management, Artificial Intelligence, SaaSIndustries

About Monte Carlo

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.

Location Type: Remote Employment Type: FullTime

About the Role

We’re looking for an Inbound Sales Development Rep (SDR) who will be responsible for all marketing generated pipeline at Monte Carlo - triaging inbound leads based on our ICP definition and following up in a timely manner to convert these leads into qualified opportunities for our sales team. This person will help to build the inbound playbook - partnering closely with our marketing team to help achieve our marketing pipeline goals.

We’re Excited About You Because You Have:

  • 1+ years work experience in either a pipeline generation role, or a heavy process orientation role
  • Demonstrated track record in an early stage company or highly ambiguous environment
  • Experience with a complex and consultative sales

Cultural Characteristics:

  • Ownership: Intrinsically motivated to build something special, with a high degree of accountability and bias for action. We don’t have a lot of answers - go find them.
  • Prioritization: Ability to organize and structure a process and maintain focused discipline on the most important things.
  • Integrity: Worthy of trust, honest about failures, acts in a way that makes us proud of the journey.
  • Customer orientation: Deep empathy for our customers with a focus on adding value and happiness.
  • Beat the odds: Set crazy goals — hold self to a high standard to overachieve them.
  • Fail forward: Be comfortable making mistakes, always own them and help the company learn from them.
  • Speed: Sense of urgency to get results and learnings as quickly as possible.

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.

Recognition

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

Skills

Sales
Lead Generation
Pipeline Management
Customer Relationship Management
Communication
Problem-Solving
Data Analysis

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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