Full-Time
Outbound Sales Development Representative
SDR
Confirmed live in the last 24 hours
Monte Carlo Data
201-500 employees
Provides end-to-end data observability solutions
Entry, Junior
London, UK
Candidate must be willing to visit a local office 2-3 days a week.
You match the following Monte Carlo Data's candidate preferences
Employers are more likely to interview you if you match these preferences:
- 1+ years of work experience in a pipeline generation role or a heavy process orientation role
- Demonstrated track record in an early-stage company or highly ambiguous environment
- Experience with complex and consultative sales
- Strong organizational and time management skills
- Ability to prospect into new accounts using proven outbound tactics
- Identifying and contacting net new prospects for potential new business
- Maintaining a high volume of cold calls, emails, and LinkedIn messaging to help create qualified opportunities for the sales team
- Helping build the outbound playbook
- Partnering closely with one or more of our account executives to expand their book of business
- 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 a 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 yourself to a high standard to overachieve them
- Speed: Sense of urgency to get results and learn quickly
Monte Carlo Data offers end-to-end data observability solutions that help businesses monitor the status of their data in real time, focusing on freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, allowing analysts to efficiently address data quality issues and maintain stakeholder trust. By integrating with communication tools like Slack and JIRA, it seamlessly fits into existing data management processes. The company aims to prevent the costly consequences of bad data for businesses of all sizes, particularly in sectors like finance, technology, and e-commerce.
Company Size
201-500
Company Stage
Series D
Total Funding
$229.6M
Headquarters
San Francisco, California
Founded
2019
Simplify's Take
What believers are saying
- 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.
What critics are saying
- 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.
What makes Monte Carlo Data unique
- 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.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
↓ -9%1 year growth
↓ -3%2 year growth
↓ -4%Additionally, to help these and other data and AI reliability initiatives scale and operationalize more effectively, Monte Carlo introduced the Data Operations Dashboard, which gives insights into key operational metrics like number of incidents by data asset owner, time to detection and time to resolution.
Data observability specialist Monte Carlo on Monday unveiled root cause analysis capabilities aimed at making it faster and easier to identify and resolve data quality incidents.
Monte Carlo, a data observability platform, has appointed Tim Miller as its first chief revenue officer.
Monte Carlo launches Trusted Data for AI Advisory Council with industry leaders.
Other notable vendors competing with Monte Carlo Data in the data observability space are Cribl and BigEye.a company spokesperson confirmed that no customers are currently using the vector database integration.