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Manage and optimize paid acquisition campaigns across social, search, and other channels for Hearst Magazines’ consumer businesses. Responsibilities include budget management, bidding, targeting, pacing, creative and audience testing, performance analysis, attribution, forecasting, reporting, and cross-functional collaboration. The role also identifies emerging platforms and AI-enabled marketing opportunities while coaching Associate Managers. It requires a hybrid schedule with four office days weekly in New York City.

Execute and optimize paid media campaigns to grow memberships, email audiences, direct products, and licensing initiatives. Monitor performance, manage budgets and targeting, test audiences and creative, analyze acquisition economics, and translate results into actionable recommendations. Collaborate with marketing, editorial, creative, and analytics teams while maintaining campaign reporting and documentation. Requires 2+ years of performance marketing or paid media experience; consumer subscription, membership, e-commerce, or direct-to-consumer experience is preferred.

Develop integrated media strategies and planning frameworks for advertising clients across digital, social, print, video, and audio channels. Analyze inventory, traffic, pricing, and performance data to create revenue-generating media packages. Collaborate with Sales, Client Success, Yield, Research, and Marketing teams; establish workflows, metrics, and business rules; advise on media mix and quarterly plans; and train account and program managers. The role requires strong analytical, communication, presentation, and cross-functional leadership skills.

Leads corporate development activities, including deal sourcing, evaluation, diligence, financial modeling, investment recommendations, transaction execution, and portfolio strategy. Partners with operating businesses and senior leaders to assess markets, competitors, strategic fit, and inorganic growth opportunities. Builds sector expertise, manages internal and external stakeholders, strengthens sourcing and diligence processes, and may develop AI-enabled automation and eventually manage a junior team member.

Provide executive administrative support and manage project work for public affairs and communications initiatives, including a multimedia experiential build-out, ESG programs, events, executive communications, research, and internal/external materials. Manage calendars, logistics, presentations, basic data analysis, and stakeholder communications across multiple strategic initiatives.

Manage end-to-end digital advertising campaign execution, including asset collection, trafficking, testing, QA, pacing, optimization, reporting, delivery, and billing reconciliation. Partner with account management, project managers, offshore support teams, and sales to launch effective campaigns, resolve delivery issues, analyze performance, and provide actionable recommendations. Maintain system mappings and stay current with ad technology, verification, viewability, programmatic serving, and tracking standards.

Launch, manage, and optimize paid media campaigns across social, search, and emerging channels. Analyze campaign data, improve ROAS, test audiences and creative, manage bidding and budgets, forecast performance, and translate insights into actionable recommendations. Partner with Meta, Google, and TikTok on new ad products and use AI-powered tools to improve campaign execution and efficiency.

Lead strategy and revenue growth for video, social, and event sponsorships; develop products and go-to-market plans; support sellers with playbooks and deal support; originate and close high-value partnerships; hire and manage event sellers; manage pipeline, forecasting, and cross-functional collaboration to scale advertising solutions.

Lead design, development, and production deployment of machine learning models for personalization, recommendations, churn and lifetime value. Partner with product, engineering, editorial, and revenue teams to drive measurable outcomes, perform advanced analytics on large datasets, mentor junior staff, and champion new data science methodologies.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.