Implementation Manager
Covariance.ai
Implementation Manager
Covariance.ai
ML platform leveraging alternative data sources
Covariance is a fast-growing MIT spinout reimagining advertising. We help the F500 obtain drastically better outcomes through advanced AI and proprietary data. We are looking for motivated, detail-oriented team members that are excited about working on the frontier of AI products.
Covariance is hiring an Implementation Manager to own product delivery for the world's largest brands after they sign. The role starts with customer onboarding and continues after launch: handle customer requests, coordinate deliveries, and prepare periodic releases. You're accountable for how fast each customer goes live and starts getting value. This is a post-sale role, individual contributor to start. You'll run the projects, timelines, and configuration of our tools — coordinating with our product and engineering teams. You’ll report directly to the executive team.
In-person at our NYC office strongly preferred. Remote candidates who can spend some time in-office (e.g., monthly) will also be considered.
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.
Explore more opportunities at Covariance.ai