ArangoDB
51 - 200 employees
Founded 2015
🏥 Healthcare
📦 Logistics
💼 Consulting
💰 $27.8M Series B on 2021-10
Healthcare • Logistics • Consulting
ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.
Product Marketing Intern, Competitive & Market Intelligence
Job not on LinkedIn
🔥 0 minutes ago
🇺🇸 United States – Remote
⏱ Part Time
⚪️ Entry-level
🎁 Product Marketing
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor
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ArangoDB
51 - 200 employees
Founded 2015
🏥 Healthcare
📦 Logistics
💼 Consulting
💰 $27.8M Series B on 2021-10
Healthcare • Logistics • Consulting
ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.
📋 Description
• Research and analyze competitors across multi-model databases, vector and graph systems, and AI infrastructure platforms • Develop and maintain competitive battlecards, positioning briefs, and comparison materials • Track product launches, feature releases, customer feedback, reviews, and industry benchmarks • Research trends in AI, data infrastructure, LLMs, and agentic systems • Analyze industry reports, analyst content, and emerging technologies • Synthesize findings into insights and recommendations for marketing and product teams • Refine product messaging based on architecture patterns, competitive implementations, and agentic AI use cases • Develop positioning frameworks, technical narratives, and product documentation • Translate complex concepts into messaging for technical and business audiences • Partner with product and engineering teams to align messaging with product capabilities, roadmap direction, and implementation realities • Recommend improvements to positioning, messaging, and competitive differentiation • Identify market gaps and opportunities • Support go-to-market planning with data-driven insights
🎯 Requirements
• Current enrollment in a Bachelor’s or Master’s degree program in Marketing, Business, Computer Science, Data Science, or a related field • Availability for a part-time 12-week internship, working 15–20 hours per week • Strong analytical and research skills • Strong written and verbal communication skills in English • Interest in AI, data infrastructure, or emerging technologies • Ability to synthesize complex information into clear insights • Strong attention to detail and organizational skills • Familiarity with databases, AI/ML concepts, and modern data architectures such as vector, graph, and multi-model systems is a nice-to-have • Experience conducting market research and competitive analysis is a nice-to-have • Interest in B2B SaaS, developer platforms, or technical product marketing is a nice-to-have • Experience creating presentations, reports, and strategic documents for technical and business audiences is a nice-to-have • Exposure to GitHub, APIs, or product documentation is a nice-to-have • Familiarity with LLM APIs, embeddings, or retrieval-based systems is a plus • Experience using Notion, Google Slides, or similar collaboration and content tools is a nice-to-have • Must live in and be authorized to work in the United States
🏖️ Benefits
• Work-from-home arrangement • Opportunity to contribute to cutting-edge AI and data infrastructure • Collaboration with experienced engineers, marketers, and product leaders • Learning, growth, and contribution opportunities as an intern • Some travel may be required
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