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Job Description
Data and AI Marketing Intern | Reingold, Inc.
The Tone:
This is a full-time internship at Reingold, Inc., located in Alexandria, VA. Reingold is a full-service marketing and creative firm that helps government, nonprofit, and business organizations improve the world through compelling communications campaigns. This role is crucial for supporting the development and optimization of data-driven marketing tools and campaigns, bridging marketing and engineering to enhance effectiveness for clients in a collaborative environment.
The TL;DR
• Role: Internship
• Type: Full-time (40 hours)
• Location: In-person, Alexandria, VA
• Pay: $20 hourly
• Team: Works closely with digital and account teams.
• Mission: To make marketing smarter and more effective by using data and automation.
• Tech Stack: SQL, Python, Claude Code, Cursor, Salesforce, Adobe, Google Cloud Platform, Databricks
What You’ll Actually Do
• Develop AI Agents: Research, prototype, and build AI agents and workflow automations for clients and internal teams, from scoping use cases to testing and iterating on solutions.
• Manage Data Quality: Write SQL queries to build targeted audience segments, audit data extensions, and maintain data quality standards across CRM and activation platforms.
• Automate Workflows: Use Python (using AI-assisted coding tools such as Cursor) to automate repetitive marketing workflows, data transformations, and reporting pipelines.
• Map Data Fields: Support data field mapping from Salesforce Data Cloud to activation platforms (SFMC/Adobe), ensuring accurate identity resolution and personalization.
• Support Data Infrastructure: Assist in exploring and operationalizing GCP and Databricks integrations as the team expands its data infrastructure and pipeline capabilities.
• Build Email Templates: Build responsive email templates and perform QA to verify dynamic content, UTM tracking, and brand standards across all devices.
The Must-Haves
• Background: Possess a bachelor’s degree, preferably in marketing, communications, data science, information systems, computer science, or a related field.
• Experience: Have a basic understanding of how code works and an eagerness to learn tools like Claude Code or Cursor.
• Skills: Communicate clearly and professionally, both orally and in writing. Build and follow timelines and meet tight deadlines. Possess a collaborative, team-player attitude. Be eager to learn by doing and take initiative. Be able to receive and incorporate peer feedback.
• Bonus: Exposure to cloud data platforms (GCP, Databricks, or similar) or marketing automation platforms (HubSpot, Salesforce, or similar) preferred but not required.