Monte Carlo Data

Strategic Customer Success Manager

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Science, AI, SaaS, Data & AnalyticsIndustries

Requirements

Candidates should have 5+ years of experience in Customer Success serving enterprises or consulting for large enterprise clients, with strong experience working with clients with over 10,000 employees. Experience delivering success for data products or solutions is highly preferred. Demonstrated track record in an early-stage company or highly ambiguous environment is also required.

Responsibilities

The Strategic Customer Success Manager will lead and manage the entire client journey from onboarding to adoption and value realization, partnering with Account Executives to build growth strategies and secure renewals and expansions. They will effectively communicate business value to client executives, establish clear business goals, and leverage product expertise to prescribe best practices. Additionally, they will identify and develop relationships with client executives, monitor account health, project manage rollouts, and collaborate across product, engineering, sales, and marketing teams.

Skills

Customer Success

Stakeholder Management

Strategic Reviews

Business Value Communication

Product Expertise

Growth Strategies

Client Journey Management

Adoption

Value Realization

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.

Key Metrics

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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