[Remote] Enterprise Sales Development Representative at Monte Carlo Data

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data, AIIndustries

Requirements

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
Ownership: Intrinsically motivated to build something special, with a high degree of accountability and bias for action
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

Responsibilities

Drive new enterprise pipeline for Monte Carlo through outbound prospecting
Identify, engage, and book meetings with key decision makers amongst your book of business
Partner closely with an Account Executive to develop and execute creative outreach strategies
Educate the market on Monte Carlo and generate qualified opportunities
Triage inbound leads based on ICP definition and follow up in a timely manner to convert them into qualified opportunities
Build and refine the enterprise outbound playbook
Collaborate with marketing to test messaging, share feedback from the field, and achieve joint pipeline goals

Skills

Outbound Prospecting

Pipeline Generation

Consultative Sales

Inbound Lead Triage

Sales Playbook Development

Account Executive Partnership

Process Orientation

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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