Product Marketing Intern (Competitive & Market Intelligence)

Arango•,

1d•Remote

About The Position

The Marketing team at Arango is responsible for driving awareness, engagement, and demand for the Arango Contextual Data Platform across developers, data engineers, and enterprise teams building AI applications. We are looking for a Product Marketing Intern (Competitive & Market Intelligence) to support research-driven initiatives that inform product positioning, messaging, and go-to-market strategy. This role is ideal for someone who enjoys digging into technical topics, analyzing trends, and turning insights into clear recommendations. You will work closely with product marketing, sales, and leadership to help Arango stay ahead in a fast-moving AI and data infrastructure landscape. Your work will focus on understanding the competitive landscape, tracking market trends, and helping equip internal teams with the knowledge and resources they need to succeed. This role is ideal for someone who is intellectually curious and interested in how AI-ready data enables AI agents, assistants, and applications to reason, decide, and act reliably at scale. You are naturally detail-oriented, with a drive to get the nuances right, competitive in how you approach problems and outcomes, and genuinely enjoy working with modern data and AI technologies. You’re motivated to develop a deep understanding of the systems shaping this market.

Requirements

Current enrollment in a Bachelor’s or Master’s degree program in Marketing, Business, Computer Science, Data Science, or a related field
Available 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

Nice To Haves

Familiarity with databases, AI/ML concepts, and modern data architectures (e.g., vector, graph, multi-model)
Experience conducting market research, competitive analysis, and synthesizing technical insights into clear outputs
Interest in B2B SaaS, developer platforms, or technical product marketing
Experience creating presentations, reports, and strategic documents for both technical and business audiences
Exposure to developer environments and tools such as GitHub, APIs, or working with product documentation
Familiarity with modern AI tooling (e.g., LLM APIs, embeddings, or retrieval-based systems) is a plus
Experience using collaboration and content tools such as Notion, Google Slides, or similar

Responsibilities

Research and analyze competitors across technologies enabling agentic AI, including multi-model databases, vector and graph systems, and AI infrastructure platforms that support contextual reasoning and decision-making
Develop and maintain competitive battlecards, positioning briefs, and comparison materials
Track product launches, feature releases, customer feedback and reviews, and industry benchmarks to assess competitive strengths and gaps
Conduct research on trends in AI, data infrastructure, LLMs, and agentic systems
Analyze industry reports, analyst content, and emerging technologies
Synthesize findings into clear insights and recommendations for marketing and product teams
Refine product messaging based on deep analysis of architecture patterns, competitive implementations, and real-world agentic AI use cases
Develop and iterate on positioning frameworks, technical narratives, and product documentation that clearly articulate differentiation at the data, query, and system design levels
Translate complex concepts—such as multi-model data access, contextual retrieval, and distributed system trade-offs—into clear, precise messaging for both technical and business audiences
Partner with product and engineering teams to ensure messaging accurately reflects product capabilities, roadmap direction, and implementation realities
Provide recommendations based on research to improve positioning, messaging, and competitive differentiation
Identify gaps and opportunities in the market for Arango’s platform
Support go-to-market planning with data-driven insights