
Role Summary:
We are looking for a Marketing Specialist who understands both AI technology and the industrial manufacturing landscape. This person will be responsible for driving awareness, generating demand, and positioning our AI solutions as a critical tool for modern manufacturing.
Key Responsibilities:
- Develop and execute B2B marketing strategies to promote AI products tailored for the manufacturing sector.
- Craft messaging, positioning, and value propositions based on a deep understanding of manufacturing challenges and AI capabilities.
- Create high-impact content: case studies, product briefs, whitepapers, videos, webinars, and customer success stories.
- Work closely with product, sales, and data science teams to translate complex features into customer-focused benefits.
- Plan and manage industry-specific campaigns using digital marketing, email outreach, LinkedIn, and webinars.
- Represent the brand at manufacturing tech expos, webinars, and customer demos.
- Analyze campaign performance and optimize marketing efforts based on data-driven insights.
- Support lead generation and ABM (Account-Based Marketing) activities focused on key enterprise clients.
Required Skills & Qualifications:
- Bachelor's or Master’s in Marketing, Engineering, Business, or related field.
- 3+ years of experience in B2B marketing, ideally in SaaS, AI/ML products, or industrial/manufacturing tech.
- Strong understanding of the manufacturing domain (automotive, steel, FMCG, pharma, etc.).
- Familiarity with AI/ML concepts such as predictive maintenance, anomaly detection, computer vision, digital twins, etc.
- Proficiency in content marketing, digital campaigns, SEO/SEM, and marketing automation tools (e.g., HubSpot, Marketo).
- Excellent written and verbal communication skills with the ability to convey technical concepts in a simple, compelling manner.
- Ability to analyze data, track KPIs, and continuously improve marketing performance.
Preferred:
- Experience in working with data-driven platforms or IIoT (Industrial Internet of Things).
- Exposure to CRM systems like Salesforce.
- Knowledge of analytics tools such as Google Analytics, Power BI, or Tableau.
- Experience collaborating with cross-functional teams including data scientists, engineers, and sales.

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