Responsibilities

• Paid Media — Meta, Google, SEO, and Emerging Channels
• Run and optimize paid media across Meta Ads, Google Ads, and emerging platforms. You are hands-on in Ads Manager and Google Ads every week.
• Own the strategy behind campaign structure, bidding, audience design, creative testing, and budget allocation across 70+ active communities in five states.
• Own organic search strategy — technical SEO, community page optimization, keyword coverage across our 74+ communities and 22 floorplans.
• Test aggressively. Ship experiments weekly. Kill what doesn\'t work, scale what does.
• Build and maintain the source-of-truth reporting stack across GA4, HubSpot, Salesforce, Supermetrics, and Meta/Google Ads.
• Untangle multi-touch attribution across a long, considered sales cycle (lead → appointment → sale → close can take months).
• Write the queries. Build the dashboards. Maintain the pipelines. You are the person who knows why a number changed.
• Translate data into plain-English recommendations for sales leaders who don\'t care about event parameters — they care about appointments and sales.
• Build AI-powered workflows into the marketing stack — lead scoring, content generation, campaign analysis, competitive research, reporting automation.

Requirements

• 4+ years running paid digital campaigns at a senior level — Google Ads, Meta Ads, and ideally one or more of: programmatic, YouTube, or paid social beyond Meta.
• Deep GA4 fluency. Event models, conversion setup, custom dimensions, exploration reports, API. Google Tag Manager proficiency is assumed.
• SQL-level comfort with marketing data. Supermetrics, Looker Studio, BigQuery, or equivalent. You are not afraid of a messy dataset.
• Attribution literacy. You have strong opinions about last-click vs. data-driven vs. MTA vs. incrementality — and you can explain the tradeoffs to a non-technical executive in two sentences.
• Hands-on experience with AI tools in a real marketing context — not just "I've used ChatGPT" but "I built a workflow that does X." Bonus for anything involving MCP, API integrations, or custom automations.
• SEO working knowledge — technical and on-page. You can audit a site, prioritize fixes, and argue with a web developer.
• Clear communicator. You can take a 30-tab spreadsheet and turn it into a three-bullet recommendation. You push back when the data says something inconvenient.
• Bachelor's degree in a relevant field — marketing, analytics, statistics, computer science, economics — or equivalent experience that obviously substitutes.

Preferred

• Experience in homebuilding, real estate, or another considered-purchase industry with a long sales cycle and multi-touch funnel.
• Google Ads and/or Meta Blueprint certification.
• Experience with HubSpot, Salesforce, or similar CRMs at the data-model level (not just the UI).
• Python, R, or similar for ad-hoc analysis.
• You've shipped a marketing tool or script that your team actually uses.
• You read one of: Benedict Evans, Stratechery, Marketing Brew, Do You Convert, a good analytics newsletter. You have taste.

Benefits

• Benefits include medical, dental, and vision coverage, 401(k) with company match, paid time off, and professional development support including certifications and conferences.