Online Marketing Group (OMG) — https://omg.re/ Location: New York, NY 10010 (Flatiron office, hybrid — 2 days/week in-office) Job Type: Full-time Salary Range: $56,686 – $63,120 per year, plus bonus opportunities
About OMG
OMG was born from a desire to be ahead of the curve, using innovative and effective digital marketing strategies to exceed our clients' goals. As a leader in digital marketing within the real estate vertical, we're now scaling our paid search practice with a stronger emphasis on data-driven decision-making and AI-powered workflows.
We're seeking a Search Engine Marketing Coordinator who is not only excited about paid search, but who thinks analytically, handles campaign operations end-to-end (launching campaigns, updating ad copy, managing keywords and bids, and keeping accounts in good working order), and is comfortable incorporating generative AI tools into their day-to-day workflow. The focus of this position is paid search and display advertising for residential multifamily real estate clients across New York City and beyond.
Please note: This is NOT a sales or media-buying position. It is also NOT an SEO role — SEO knowledge is a plus, but the work is paid search.
What You'll Do
- Own the full lifecycle of paid search campaigns across Google Ads, Microsoft (Bing) Ads, and other biddable platforms. Day-to-day, that means: building out new campaigns, ad groups, keywords, and ad copy from a brief; setting up conversion tracking; pulling performance data and turning it into observations worth acting on; running search-term-report reviews and negative-keyword mining; managing budgets, bid strategies, and pacing against monthly targets; identifying underperformers and proposing concrete optimization tests; and writing up what changed, why, and what to expect next.
- Use AI as a daily part of your workflow through a combination of pre-built guidelines and free-form use. Some work will be guided by OMG-maintained prompt libraries and pre-built "skills." Other work will be open-ended: you'll be expected to recognize when a task is a good candidate for AI, design your own prompt, and judge whether the output is trustworthy.
- Measure, analyze, and report performance data against goals, providing clear action plans based on conclusions
- Apply structured A/B testing and statistical thinking to optimization decisions
- Monitor search trends, Google/Microsoft platform updates, and AI feature releases that affect paid performance and measurement
- Collaborate with the broader marketing team to integrate performance marketing into the larger client strategy
Who You Are
- An analytical mind, first and foremost. You're comfortable sitting with a large dataset and pulling signal from noise — you notice when a CTR drop is seasonality vs. a real quality issue, when a conversion spike is a tracking glitch vs. genuine lift, and when two metrics that look correlated actually aren't.
- A data interpreter, not just a data reporter.
- A structured thinker about cause and effect
- An AI-native marketer who already uses ChatGPT, Claude, Gemini, or Copilot in your daily workflow — and can articulate where AI helps and where human judgment is required
- A self-starter who takes initiative and follows problems to resolution
- A multi-tasker who can prioritize across several client accounts without dropping balls
- A team player who values productive dialogue, peer review, and constructive disagreement
- A hard worker who prioritizes punctuality, deadlines, and quality output
Must-Have QualificationsExperience & Education
- 1+ year of hands-on paid search experience (internship, agency, or in-house counts), including direct work in Google Ads and Microsoft Advertising
- Bachelor's degree required. Preferred fields: Marketing, Business Analytics, Economics, Statistics, Data Science, Computer Science, or related quantitative discipline. Demonstrated coursework in statistics, data analysis, or quantitative methods is a plus regardless of major.
- Can reliably commute to our Flatiron, NYC office
Analytical Skills
- Working proficiency in Google Analytics 4 and Google Ads — for GA4: events, conversions, audiences, exploration reports; for Google Ads: account structure, campaign and ad group hierarchy, search terms reports, audience and bid-strategy settings, change history, and the in-platform reporting/insights views
- Advanced Microsoft Excel: pivot tables, XLOOKUP / VLOOKUP, SUMIFS / COUNTIFS, basic charts. Comfort manipulating datasets of 10,000+ rows
- Solid grasp of paid search KPIs: CPC, CPA, CTR, CVR, ROAS, impression share, Quality Score
- Comfort applying the scientific method and basic statistical reasoning to campaign tests
AI & Automation Fluency
- Track record of using generative AI tools (ChatGPT, Claude, Gemini, or Copilot) to automate, augment, or improve marketing work — ad copy variation, keyword and negative-keyword brainstorming, summarizing campaign data, drafting client-facing narratives, or building Looker Studio formulas
- Comfort working with AI in two modes: (1) following structured OMG guidelines and pre-built skills — standardized prompt libraries and workflows the team maintains for recurring tasks — and (2) free-form, open-ended use where you design your own prompts, choose when AI is the right tool, and judge output quality. You'll need both: the discipline to use the team's playbook where one exists, and the creativity to build your own approach where one doesn't.
- Working understanding of Google Ads' AI-driven campaign types and bid strategies: Performance Max, Responsive Search Ads, Smart Bidding (Maximize Conversions, tCPA, tROAS), audience signals
- Basic prompt engineering — ability to write structured prompts that produce reliably usable output and to QA AI output for hallucinations, accuracy, and brand fit
- Curiosity about how AI is reshaping paid search measurement, attribution, and creative production
Platform & Process
- Google Ads Search and Display Certifications (or willingness to complete within 60 days of hire)
- Google Ads Editor experience
- Ad copy creation and analysis skills
- Keyword research and negative-keyword sculpting skills
- Reporting and dashboard building skills
- Experience identifying optimization opportunities and managing a digital marketing budget
- Awareness of industry trends and comfortable discussing them
Nice-to-Have Qualifications
- Looker Studio (or comparable dashboarding tool): experience building and maintaining dashboards that pull from GA4, Google Ads, and call-tracking data sources
- SQL fundamentals
- Python or R for ad-hoc analysis
- Workflow automation tools: Zapier, Make, Google Apps Script, or n8n for routine reporting and data-prep tasks
- GA4 Certification, Google Ads AI-Powered Performance Certification, or Microsoft Advertising Certified Professional
- Google Tag Manager: hands-on experience configuring tags, plus a working understanding of how triggers (page view, click, form submit, custom event, and trigger conditions/filters) and variables (built-in vs. user-defined; data layer variables, constants, lookup tables, and DOM-based variables) work together to fire the right tag at the right time
- Call-tracking platforms — directly relevant to multifamily lead measurement
- Bid management or feed platforms: Search Ads 360, Skai, Marin, Feedonomics
- Demand-side platforms and Google Display Network experience
- Landing page audit and CRO experience
- Real estate or multifamily marketing experience
- Knowledge of New York City neighborhoods and the different demographics that reside there
- Familiarity with ILS platforms (apartments.com, Zillow Rentals, StreetEasy, RentCafe) and how they interact with paid search attribution
Perks
- Health, dental, and vision insurance
- 401(k) with company match
- Paid time off and parental leave
- Professional development assistance — 100% coverage of continuing education classes related to your role
- 50% off gym membership
- Freedom and autonomy to experiment with new tools, AI workflows, and optimization tactics
- Supportive, learning-oriented environment where ideas and problems are openly discussed
- Direct line of sight to the impact of your work on client outcomes
- Summer Fridays and Beer & Cheese Thursday Happy Hour
Compensation & Benefits
- Pay: $56,686 – $63,120 per year, commensurate with experience and demonstrated analytical / AI skills
- Bonus: Performance-based bonus opportunities
- Benefits: 401(k) with company match, health / dental / vision insurance, paid time off, parental leave, professional development assistance, retirement plan
- Schedule: Monday to Friday, hybrid — two days per week in our Flatiron office
Job Type: Full-time
Pay: $56,686.00 - $63,120.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Parental leave
- Professional development assistance
- Retirement plan
- Vision insurance
Education:
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
