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Covariance.ai

ML platform leveraging alternative data sources

Director of Customer Success

Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 8 years of experience in customer success, account management, or customer analytics at a data, analytics, advertising technology, or marketing technology company, growing and renewing enterprise accounts.
  • Experience working with retailers, restaurants, or other consumer brands with physical stores, and knowledge of how their marketing, loyalty, and finance teams make decisions.
  • Ability to work hands-on with data, run complex analyses, and communicate clear stories from data.
  • Ability to serve as a trusted partner to chief marketing officers and vice presidents and turn analysis into actionable recommendations.
  • Knowledge of audiences, identity, advertising platforms, and measurement in advertising and marketing technology.
  • Regular use of artificial intelligence tools to analyze, draft, and prepare.

Responsibilities

  • Define customer success plans that cover customer goals, value metrics, and paths to renewal and expansion.
  • Lead regular business reviews with customer executives to demonstrate value and set priorities.
  • Build relationships across customers' marketing, analytics, and leadership teams as their go-to partner.
  • Set success criteria at signature and lead trial readouts to convert trials into subscriptions.
  • Use the platform to answer customer questions, identify applications for customer businesses, and develop case studies.
  • Own account renewals, grow adoption, and identify opportunities to expand.
  • Bring customer feedback to Product to help shape the roadmap.
  • Build the business review cadence, scorecards, and renewal process as the organization scales.

About the Company

Covariance.ai

ML platform leveraging alternative data sources

Covariance.ai builds machine learning solutions using alternative data to help businesses gain insights from non-traditional sources. It collects diverse data like satellite imagery, web data, and sensor feeds, cleans and structures it, and runs ML models to generate actionable signals. The platform typically involves data ingestion, feature extraction, model training, and delivery of results through dashboards or APIs. It distinguishes itself by focusing on alternative datasets and providing scalable, governance-aware pipelines that emphasize data quality, provenance, and repeatable workflows. The company’s goal is to help customers make better decisions and unlock value from non-traditional information.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Cambridge, MA
Founded
2020

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