Strategic Customer Success Manager at Monte Carlo Data

Seattle, Washington, United States

Apply with AI Apply

$152,000 – $168,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Management, Artificial Intelligence, SaaSIndustries

Requirements

Candidates should have 5-7 years of experience in Customer Success serving enterprises or consulting for strategic-level clients, with strong experience managing large clients (over 10k+ employees). Experience delivering success for data products/solutions is highly preferred, as is a demonstrated track record in an early-stage company or highly ambiguous environment. Project and stakeholder management skills are essential for orchestrating large-scale rollouts and managing through enterprise political dynamics, along with the ability to prioritize complex and competing objectives.

Responsibilities

The Strategic Customer Success Manager will quarterback relationships with significant and strategic customers to ensure data trust, leading the entire client journey from onboarding to value realization. This includes planning and executing enterprise rollouts, navigating stakeholders and executives, defining and sharing best practices, quantifying and articulating value, nurturing expansion opportunities, and collaborating across departments. Responsibilities also involve partnering with Account Executives on growth strategies and renewals, communicating business value to client executives, establishing customer goals and success metrics, prescribing best practices to grow adoption, identifying and developing relationships with client executives, monitoring account health, and projecting managing the customer journey.

Skills

Customer Success Management

Account Management

Data Governance

Executive Communication

Stakeholder Management

Salesforce

Product Adoption

Business Value Articulation

Onboarding

Renewal Management

Expansion Opportunities

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