Implementation Manger

Covariance.ai•New York, NY

2d•$140,000 - $190,000•Hybrid

About The Position

Covariance is hiring an Implementation Manager to own post-sale product delivery for large brands. The role begins with customer onboarding and continues after launch, including handling customer requests, coordinating deliveries, and preparing periodic releases. The Implementation Manager is accountable for how quickly each customer goes live and begins realizing value. This is initially an individual-contributor role, responsible for projects, timelines, and tool configuration while coordinating with product and engineering teams. The position reports directly to the executive team. Covariance is a fast-growing MIT spinout that uses advanced AI and proprietary data to improve advertising outcomes. Its platform helps marketers identify audiences across the market, activate them across channels, and measure lift. The company has a large panel of anonymized third-party consumer behavior data in the United States and serves Fortune 500 and mid-market businesses across retail, restaurants, grocery, direct-to-consumer, subscription, and other sectors. Its team of 35 is headquartered in New York City.

Requirements

At least 5 years of experience in implementation, onboarding, or delivery at a SaaS, data, adtech, or martech company.
Experience running several enterprise customer projects simultaneously.
Strong organization and exceptional attention to detail.
Strength with Jira or similar project management tools.
Ability to lead meetings with customer Directors and VPs.
Clear, concise, polished customer emails, status updates, and meeting recaps.
Comfort working with spreadsheets and dashboards and confidently quality-checking deliveries.
Comfort using AI tools regularly for analysis, drafting, and preparation while applying critical thinking and retaining ownership.

Nice To Haves

PMP or a similar certification.

Responsibilities

Take customers from contract signature to launch through account setup, quality assurance, review, and launch.
Translate customer goals and success criteria into shared delivery plans with milestones, dependencies, owners, and dates.
Manage cross-functional delivery workstreams.
Lead customer working sessions and status reviews, aligning participants on goals, scope, and timelines and anticipating risks.
Own customer requests from intake through resolution; develop expertise in the company’s AI products to assist clients and involve Engineering when needed.
Build and improve the onboarding playbook, request intake process, and release process to deliver consistent customer experiences and improve time to launch.