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SME Marketing Specialist

Synstack Technologies
Department:SEO Marketing
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$85,000 - $130,000
Skills:
MARKETINGCAMPAIGN STRATEGYMARKETING AUTOMATIONANALYTICSCUSTOMER SEGMENTATIONCONTENT STRATEGYMEDIA PLANNINGA/B TESTINGROI OPTIMIZATIONHUBSPOTSALESFORCE MARKETING CLOUDMARKETOGOOGLE ANALYTICSLOOKERPOWER BI
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Job Description

Posted on: February 7, 2026

Role Overview:

We are looking for a Marketing Subject Matter Expert (SME) with strong domain knowledge and analytical acumen to help train, evaluate, and fine-tune AI models for marketing. This individual will serve as the bridge between marketing strategy and AI systems, ensuring that models accurately understand marketing concepts, workflows, and business goals.

The ideal candidate brings hands-on experience across the marketing funnel—from campaign strategy and content creation to analytics and optimization—and a passion for leveraging AI to enhance marketing intelligence and automation.

You will collaborate with data scientists, engineers, and product teams to help build next-generation AI models capable of powering marketing assistants, campaign optimizers, and predictive analytics tools.

Required Qualifications:

• Bachelor’s or Master’s degree in Marketing, Business, Communications, or related field.

• 7–12 years of hands-on experience in marketing, with exposure to:

o Campaign strategy and execution (digital, social, performance, and/or brand marketing)

o Marketing automation tools (HubSpot, Salesforce Marketing Cloud, Marketo, etc.)

o Analytics and measurement workflows (Google Analytics, Looker, Power BI, etc.)

o Customer segmentation, journey mapping, and content strategy

o Media planning, A/B testing, and ROI optimization

• Proven ability to translate real-world marketing problems into structured data or process documentation.

• Excellent communication and documentation skills—able to articulate domain logic clearly to technical teams.

• Experience collaborating cross-functionally with data science, product, or engineering teams.

Originally posted on LinkedIn

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