Responsibilities

• Plan, buy, manage, and optimize media across digital channels (paid social, CTV, streaming audio and display) along with traditional media (terrestrial radio, outdoor, television).
• Monitor campaign pacing, performance, and budgets making real-time adjustments to maximize results.
• Work with creative teams to align ad assets with platform best practices and campaign goals.
• Stay current on platform updates, new ad formats, and digital media trends.
• Implement and manage tracking infrastructure: pixels, UTMs, conversion APIs, and event tags across all active channels.
• Build and maintain performance dashboards that surface key KPIs: CPL, CPA, ROAS, lead quality, and conversion velocity.
• Use AI tools (including Claude) to automate and enhance reporting workflows, attribution analysis, and channel performance summaries.
• Translate data into clear, actionable insights and present findings to marketing leadership.
• Troubleshoot data discrepancies and ensure reporting accuracy across platforms.
• Learn and apply financial concepts (payback period, NPV, conversion velocity) to connect media investment to downstream outcomes like loan closings and customer lifetime value.

Requirements

• Bachelor’s degree in Marketing, Business, or a related field from an accredited college or university.
• 0–5 years of experience, including strong, impactful internships or project-based work in digital marketing, paid media, or marketing analytics.
• Comfort working with data: you can pull a report, spot a trend, and communicate what it means.
• Genuine curiosity about AI tools and enthusiasm for using them to work smarter—not just faster.
• Strong organizational skills and attention to detail, especially around budgets, deadlines, and tracking.
• Clear, confident communicator who can summarize complex data for non-technical audiences.
• Experience with Meta Ads Manager, Spotify Ad Studio, Reddit Ads, or streaming/CTV platforms.
• Familiarity with UTMs, pixel implementation, conversion APIs, or tag management (Google Tag Manager).
• Exposure to CRM platforms, especially HubSpot.
• Basic understanding of marketing analytics concepts: attribution models, funnel metrics, A/B testing.
• Experience using AI tools (ChatGPT, Claude, Gemini, or similar) in a marketing or analytical context.
• Experience or interest in mortgage, real estate, insurance, or financial services a plus

Preferred

• Experience or interest in mortgage, real estate, insurance, or financial services a plus

Benefits

• Health, dental, and vision insurance.
• 401(k) with company match.
• Paid time off and company holidays.
• Professional development resources, including access to AI tools and platform certifications.
• Mentorship from experienced marketing and analytics leaders.