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Covariance.ai

ML platform leveraging alternative data sources

Implementation Manager

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

About the Job

Requirements

  • At least 5 years of experience in implementation, onboarding, or delivery at a SaaS, data, or advertising technology/marketing technology company, running several enterprise customer projects concurrently.
  • Strong organizational and detail-management skills, with proficiency in Jira or similar tools.
  • Ability to lead meetings with customer directors and vice presidents.
  • Ability to write clear, concise, polished customer emails, status updates, and recaps.
  • Comfort working with spreadsheets and dashboards and quality-assuring deliveries.
  • Comfort using AI tools regularly to analyze, draft, and prepare, while retaining critical thinking and ownership.

Responsibilities

  • Take customers from contract signature to live launch through account setup, quality assurance, review, and launch.
  • Translate each customer's goals and success criteria into a shared delivery plan with milestones, dependencies, owners, and dates.
  • Run cross-functional workstreams to manage delivery across teams.
  • Run customer working sessions and status reviews, align participants on goals, scope, and timelines, and anticipate risks.
  • Own each customer request from intake through resolution, use expertise in the company's AI products to assist clients, and involve Engineering when needed.
  • Build the onboarding playbook, request intake process, and release process to create a consistent customer experience and improve time to live with each iteration.

Desired Qualifications

  • PMP or a similar certification.

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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