Covariance.ai

ML platform leveraging alternative data sources

Lead Strategist - Audience Insights

Product MarketingConfirmed live in the last 24 hours

Full-timeNew York, NY, USA

About the Job

Requirements

At least 4 years of experience analyzing audiences and consumers at a media agency, publisher, advertising platform, or consumer data company.
Experience building audiences and personas for media plans and understanding how they are activated across advertising platforms.
Hands-on experience running analyses in SQL, Excel, and business intelligence tools such as Tableau.
Ability to interpret data and communicate findings through writing, charts, and presentations for senior marketing audiences.
Uses AI tools to analyze, draft, and visualize.

Responsibilities

Build pre-sale analyses for pitches, showing prospects who their customers are, where else they shop, and which audiences they can grow.
Turn data into actionable audiences and personas, with clear recommendations for reaching them across channels.
Bring fresh analyses to business reviews and show customers new ways to use the data.
Identify insights from data about industry news, earnings, and consumer trends, and turn them into articles, reports, and posts in partnership with Product Marketing.
Develop deep expertise in the data and platform, train the team, and share learnings with Product.

Desired Qualifications

Experience with retailers, restaurants, or other consumer brands with physical stores.

About Covariance

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.

Team of 35 headquartered in NYC
Winner of Harvard Business School Innovation Prize & named a Top 25 MIT startup to watch

Role

Covariance is hiring a Lead Strategist, Audience Insights to find the stories in our data that move our sales, customers, and market forward. You'll use our AI-powered competitive & audience intelligence platform to build the audiences, personas, and analyses behind our pitches, customer business reviews, and the content we publish.

Responsibilities

Pre-sale analyses: build the analyses behind our pitches, showing prospects who their customers are, where else they shop, and which audiences they can grow.
Audiences and personas: turn our data into audiences and personas a marketer can act on, with clear recommendations for reaching them across channels.
Inspire increased usage: bring fresh analyses to every business review and show customers new ways to put our data to work.
Market content: find what our data says about industry news, earnings, and consumer trends, and turn it into articles, reports, and posts in partnership with Product Marketing.
Platform expert: know our data and platform better than anyone, train the team, and share what you learn with Product.

Qualifications

Experience: 4+ years analyzing audiences and consumers at a media agency, publisher, ad platform, or consumer data company.
Media: you've built audiences and personas for media plans and know how they're activated across ad platforms.
Data skills: you're hands-on and run your own analyses in SQL, Excel, and BI tools like Tableau.
Data storytelling: you find what's interesting in the data and turn it into writing, charts, and slides that land with a CMO.
Industry: experience with retailers, restaurants, or other consumer brands with physical stores is a plus.
AI tools: you use AI every day to analyze, draft, and visualize, so you can say yes to more requests.

Location

Greater NYC area

Compensation & Benefits

The salary range for this position is $100,000 - $135,000 + equity compensation (options)
Free health, vision, dental insurance
401k with match
Unlimited PTO + 13 company holidays
Daily Grubhub lunch stipend
Pre-tax commuter benefits

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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