
Enterprise Customer Acquisition Lead
Job Description:
Vertical Data seeks a highly quantitative, data-driven Enterprise Marketing Specialist to grow enterprise AI infrastructure adoption through strategic customer acquisition. You’ll blend a knowledge of enterprise marketing with highly quantitative skills to drive traffic and demand for complex topics like data center optimization to a brand that inspires enterprise buyers. If you’re passionate about solving customer problems, analyzing marketing data, and iterating quickly based on results, join us to create a category-defining movement.
Key Responsibilities:
-
Shape a Memorable Brand:
- Develop go-to-market strategies for AI infrastructure, GPU hardware, and cloud solutions, crafting authentic, problem-solving messaging.
- Translate technical concepts (e.g., LLM training, edge inference) into compelling narratives for enterprise decision-makers, collaborating with product, engineering, and sales teams.
- Collaborate with product, engineering, and sales teams to ensure messaging reflects real customer pain points and Vertical Data’s unique value.
-
Create Impactful Content That Drives Leads:
- Create content on channels like LinkedIn, x.com, and Reddit that drives enterprise traffic.
- Create innovative lead magnets and technical content (calculators, case studies, etc.) that catch customer attention.
- Execute email marketing campaigns that re-engage prospects.
-
Drive Data-Driven Engagement:
- Analyze AI market trends, competitor strategies, and buyer behavior using statistical insights.
- Optimize campaigns with AI-powered analytics, A/B testing, and KPIs (e.g., lead generation, content reach).
-
Build Thought Leadership:
- Position Vertical Data as a thought leader via podcasts, webinars, and media.
- Engage AI and cloud communities, experimenting with outreach (e.g., AMAs, live demos) to foster meaningful conversations.
Qualifications:
- 1-3 years in B2B marketing, technical marketing, or demand generation in a high-growth tech environment.
- Bachelor’s degree in Marketing, Math, Statistics, Engineering, Data Science, or a related technical field.
- Experience or interest in AI, cloud computing, GPU acceleration, or enterprise infrastructure.
- Proficiency in Google Analytics, media buying, SEO, LinkedIn marketing, and automation tools, with a data-driven track record.
- Experience using nontraditional media channels like reddit, twitter, and podcast/media sponsorships to drive traffic.
- Proactive, experimental mindset with strong communication and adaptability.