Outbound SDR
HeyGenSalary not specified
Full Time
Entry Level & New Grad
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Observability, SoftwareIndustries
Requirements
Candidates should possess at least 1 year of work experience in a pipeline generation role or a heavy process orientation role, demonstrating a track record in an early-stage company or a highly ambiguous environment. Experience with a complex and consultative sales process is also required, along with a comfortable ability to thrive in an ambiguous and rapidly changing environment.
Responsibilities
The Sales Development Representative will be responsible for identifying pipeline opportunities for the sales team within a defined set of target accounts, owning the entire process from account and contact selection to outreach strategy and messaging. They will also contribute to building the Outbound playbook in collaboration with the sales team, supporting the achievement of company pipeline and revenue goals. Additionally, the SDR will focus on demonstrating a deep desire to build the data observability category and possess a humble mindset, ready to seek assistance when needed.
Skills
pipeline generation
outbound sales
account selection
contact selection
outreach strategy
messaging
sales playbook development
data observability
consultative sales
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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