Data and AI Marketing Intern

Reingold Inc•Alexandria, VA

3d•Onsite

About The Position

Reingold is seeking a Data and AI Marketing Intern to support the development, execution, and optimization of data-driven marketing tools and campaigns. This role sits at the intersection of marketing and engineering, involving hands-on coding, data wrangling, and technical problem-solving. The intern will use tools like SQL, Python, AI-assisted development tools (Claude Code, Cursor), and platforms such as Salesforce, Adobe, Google Cloud Platform, and Databricks. The intern will collaborate with digital and account teams to bring automated campaigns to life, build performance measurement tools, apply best practices, and contribute fresh ideas in a fast-paced environment. This is an ideal opportunity for an analytical, curious, and detail-oriented individual eager to build expertise in marketing automation, data analytics, and AI.

Requirements

Possess a bachelor’s degree, preferably in marketing, communications, data science, information systems, computer science, or a related field.
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.
Have a basic understanding of how code works — and an eagerness to learn tools like Claude Code or Cursor.
Authorization to work for any employer in the United States.
Ability to obtain and maintain a U.S. government security clearance if required.

Nice To Haves

Exposure to cloud data platforms (GCP, Databricks, or similar) preferred but not required.
Exposure to marketing automation platforms (HubSpot, Salesforce, or similar) preferred but not required.

Responsibilities

Help research, prototype, and build AI agents and workflow automations that enable clients and internal teams to work more efficiently — from scoping use cases to testing and iterating on solutions.
Write SQL queries to build targeted audience segments, audit data extensions, and maintain data quality standards across CRM and activation platforms.
Use Python (leveraging AI-assisted coding tools such as Cursor) to automate repetitive marketing workflows, data transformations, and reporting pipelines.
Support data field mapping from Salesforce Data Cloud to activation platforms (SFMC/Adobe), ensuring accurate identity resolution and personalization.
Assist in exploring and operationalizing GCP and Databricks integrations as the team expands its data infrastructure and pipeline capabilities.
Build responsive email templates and perform QA to verify dynamic content, UTM tracking, and brand standards across all devices.