[Remote] Inbound Sales Development Representative at Monte Carlo Data

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Management, Artificial Intelligence, SaaSIndustries

Requirements

Candidates should have at least 1 year of work experience in a pipeline generation role or a role with heavy process orientation. Experience in an early-stage company or a highly ambiguous environment is required, along with experience with complex and consultative sales. Cultural characteristics such as ownership, prioritization, integrity, customer orientation, beating the odds, and speed are also important.

Responsibilities

The Inbound Sales Development Representative will be responsible for managing all marketing-generated pipeline by triaging inbound leads according to the Ideal Customer Profile (ICP) definition. They will follow up on these leads in a timely manner to convert them into qualified opportunities for the sales team. This role involves partnering closely with the marketing team to help achieve marketing pipeline goals and build the inbound playbook.

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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