Search Engine Marketing Coordinator

The role centers on end-to-end paid search campaigns for residential multifamily clients, leveraging AI-driven workflows, analytics, and cross-functional collaboration.

Responsibilities

• Oversee the full lifecycle of paid search efforts across Google Ads, Microsoft Advertising, and other biddable networks.
• From briefs, build new campaigns, ad groups, keyword lists, and compelling ad copy.
• Implement and monitor conversion tracking to quantify results.
• Translate performance data into actionable insights and recommendations.
• Conduct search term analyses and develop negative keyword mining strategies.
• Manage budgets, bid strategies, and pacing to align with monthly targets.
• Spot underperformers and design concrete optimization tests.
• Document changes, justify the rationale, and outline expected outcomes.
• Incorporate AI as a daily workflow element using both preset guidelines and自由-form experimentation.
• Operate within OMG prompt libraries and built-in skills where applicable; otherwise, identify AI opportunities, craft prompts, and assess output reliability.
• Measure, analyze, and report performance against goals, delivering clear, action-oriented plans.
• Apply structured A/B testing and statistical thinking to optimization decisions.
• Monitor search trends, platform updates, and AI feature releases affecting paid performance and measurement.
• Collaborate with the broader marketing team to integrate performance marketing into client strategy.

Requirements

• 1+ year of hands-on paid search experience, including direct work with Google Ads and Microsoft Advertising (internships, agency, or in-house count).
• Bachelor's degree required; preferred fields include Marketing, Business Analytics, Economics, Statistics, Data Science, Computer Science, or related quantitative disciplines. Coursework in statistics or data analysis is a plus.
• Ability to reliably commute to the Flatiron, NYC office.

Compensation

• Salary: USD 56,686 - 63,120 per year

Technologies

• Google Ads, Microsoft Advertising
• Google Analytics 4, Google Ads Editor
• Looker Studio, ChatGPT, Claude, Gemini, Copilot
• Performance Max, Responsive Search Ads, Smart Bidding
• Google Tag Manager, SQL, Python, R
• Zapier, Make, Google Apps Script, n8n
• Search Ads 360, Skai, Marin, Feedonomics
• Apartments.com, Zillow Rentals, StreetEasy, RentCafe
• Google Display Network, Microsoft Excel

Benefits

• Health, dental, and vision insurance
• 401(k) with company match
• Paid time off and parental leave
• Professional development assistance
• 50% off gym membership
• Autonomy to experiment with new tools, AI workflows, and optimization tactics
• Direct impact visibility on client outcomes
• Summer Fridays and Beer & Cheese Thursday Happy Hour

Who You Are

• Analytical by nature, adept at separating signal from noise in large datasets
• A data interpreter who derives actionable conclusions rather than merely reporting findings
• A structured thinker focused on cause and effect
• AI-native marketer who uses tools like ChatGPT, Claude, Gemini, or Copilot daily and can distinguish when human judgment is needed
• Self-starter who takes initiative and resolves problems
• Multitasker who manages multiple client accounts without dropping tasks
• Collaborative team player who values constructive dialogue and peer review
• Reliable worker who prioritizes deadlines and quality output

Analytical Skills

• Working proficiency with Google Analytics 4 and Google Ads, including events, conversions, audiences, exploration reports, and in-platform insights
• Advanced Microsoft Excel skills (pivot tables, XLOOKUP/VLOOKUP, SUMIFS/COUNTIFS; comfortable with large datasets)
• Solid grasp of paid search KPIs: CPC, CPA, CTR, CVR, ROAS, impression share, Quality Score
• Applied scientific method and basic statistics in campaign testing

AI & Automation Fluency

• Proven track record using generative AI tools to automate or augment marketing work (ad copy variations, keyword brainstorming, data summaries, client narratives, Looker Studio formulas)
• Comfort with two modes of AI use: following OMG guidelines and free-form experimentation, plus the ability to design prompts and judge outputs for reliability
• Understanding of Google Ads AI driven campaigns and bid strategies (Performance Max, RSA, Smart Bidding)
• Basic prompt engineering to produce reliable outputs and QA for accuracy and brand fit
• Curiosity about AI's impact on paid search measurement, attribution, and creative production

Platform & Process

• Google Ads Search and Display Certifications or willingness to complete within 60 days
• Google Ads Editor experience
• Experience in ad copy creation and analysis
• Keyword research and negative-keyword sculpting skills
• Reporting and dashboard-building capabilities
• Ability to identify optimization opportunities and manage a digital marketing budget
• Awareness of industry trends and readiness to discuss them

Nice-to-Have Qualifications

• Looker Studio or similar dashboards that integrate GA4, Google Ads, and call-tracking data
• SQL fundamentals
• Python or R for ad-hoc analyses
• Workflow automation tools such as Zapier, Make, Google Apps Script, or n8n
• Certifications: GA4, Google Ads AI Powered Performance, Microsoft Advertising
• Google Tag Manager expertise with triggers and variables
• Call-tracking platforms relevant to multifamily lead measurement
• Bid management or feed platforms like Search Ads 360, Skai, Marin, or Feedonomics
• Experience with landing page audits and conversion rate optimization
• Real estate or multifamily marketing background
• Knowledge of New York City neighborhoods and demographics
• Familiarity with ILS platforms (apartments.com, Zillow Rentals, StreetEasy, RentCafe) and paid search attribution concepts

Perks

• Health, dental, and vision insurance
• 401(k) with company match
• Paid time off and parental leave
• Professional development assistance — full coverage for role-related classes
• 50% off gym membership
• Autonomy to experiment with tools, AI workflows, and optimization tactics
• Supportive, learning-focused environment with open dialogue
• Direct visibility into how your work impacts client outcomes
• Summer Fridays and Beer & Cheese Thursday Happy Hour

Experience

• Keyword research: 1 year (Preferred)
• Google Analytics: 1 year (Preferred)
• Google Tag Manager: 1 year (Preferred)
• Google Ads: 1 year (Required)

Work Location

• Hybrid remote in New York, NY 10010