Own and optimize paid media programs across social (Meta, LinkedIn, TikTok), SEM/paid search (Google Ads, Bing), and SEO strategy in partnership with content and web teams.
Manage budgets, pacing, forecasting, and performance optimization across channels.
Build and maintain channel-level and blended CAC, ROAS, and LTV models.
Lead email marketing operations, including lifecycle campaigns (nurture, onboarding, re-engagement).
Drive segmentation, personalization, and automation strategies.
Ensure deliverability, list health, and performance optimization.
Partner with Data and Engineering to ensure clean data flows and reliable execution.
Own martech integrations and workflows (ESP, CRM, CDP, analytics tools).
Design and run A/B and multivariate testing frameworks across email, paid media, and landing pages.
Define success metrics and measurement methodologies for all campaigns.
Build and maintain dashboards and reporting for executive and stakeholder visibility.
Analyze funnel performance from impression → conversion → retention.
Translate data insights into actionable optimization recommendations.
Partner cross-functionally with Product, Data, Engineering, Creative, and Sales teams.
Act as a strategic thought partner on growth initiatives and experimentation roadmaps.
Maintain documentation and best practices for marketing analytics and operations.
Requirements
8-10+ years of experience in digital marketing, growth marketing, or marketing operations.
Bachelor’s degree in Marketing, Business, Analytics, or related field (preferred).
Strong data or analytics background (marketing analytics, BI, economics, engineering, etc.).
Proven hands-on experience managing paid media, email marketing operations, and SEO performance.
Advanced analytical skills with the ability to interpret complex datasets and trends.
Experience designing and executing structured experimentation programs.
Experience in high-growth, performance-driven environments.
Proficiency with modern marketing and analytics tools, including: Google Analytics / GA4, Google Tag Manager; ad platforms (Meta, Google, LinkedIn); ESPs (Braze, Marketo, HubSpot, Salesforce Marketing Cloud, etc.); BI tools (Looker, Tableau, Power BI, Mode, etc.).
Strong documentation and communication skills.
Comfortable working directly with data teams or using SQL for analysis, and familiar with attribution modeling, incrementality testing, or advanced segmentation strategies.