12 Oct
|
zeetech academy
|
Thane
12 Oct
zeetech academy
Thane
We are looking for an industry-experienced professional with strong practical expertise in digital marketing, AI-powered marketing tools and performance marketing. The ideal candidate should be able to deliver hands-on training, demonstrate real-world marketing workflows and guide students through practical assignments, case studies and projects.
Key Responsibilities
Deliver practical training in AI marketing tools and prompt engineering.
Teach SEO, Local SEO, Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
Cover WordPress, landing pages and conversion rate optimization (CRO).
Train students in social media marketing, content strategy, Google Ads and Meta Ads.
Teach email marketing, WhatsApp marketing, lead generation and marketing automation.
Cover Google Analytics 4 (GA4), Google Tag Manager, Looker Studio and campaign analytics.
Guide students through practical assignments, campaign exercises and live projects.
Evaluate student performance and provide constructive feedback.
Keep training aligned with current digital marketing tools, platforms and industry practices.
Required Skills
Strong hands-on knowledge of digital marketing and AI tools.
Practical expertise in SEO, paid advertising and performance marketing.
Understanding of campaign tracking, analytics, reporting and optimization.
Familiarity with marketing automation and lead generation strategies.
Robust communication, presentation and mentoring skills.
Ability to explain concepts clearly through practical demonstrations.
Experience & Qualifications
Relevant professional experience in digital marketing and campaign execution.
Practical experience with marketing tools, platforms and campaign data.
Experience managing real campaigns, client projects or a qualified portfolio is preferred.
Previous teaching, corporate training or mentoring experience will be an advantage.
Job Details
Company: ZeeTech Academy
Location: Mumbra, Thane, Maharashtra
Work Mode: On-site
Salary & Compensation Salary will be determined based on the candidate’s skilled experience, practical expertise and performance during the interview process.
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