AI-Driven Product Marketing Engineer Intern

Texas Instruments Incorporated

Dallas (TX)

On-site

USD 34,000 - 48,000

Full time

47 hours ago
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Job summary

Texas Instruments Incorporated is seeking a Product Marketing Engineer Intern to apply a technical background to automate workflows and build lightweight tools that move data across systems. You will explore AI coding tools to improve product, hardware, and content release processes, and you will help teammates adopt and maintain the solutions you create.

The internship emphasizes building data validation checks, API-driven integrations, and teaching non-technical teammates how to use the

Qualifications

  • Strong technical background
  • Interest in AI coding tools and automation
  • Ability to communicate technical concepts to non-technical teammates

Responsibilities

  • Identifying repetitive or manual workflows that can be automated with AI-assisted coding tools
  • Building lightweight scripts, internal tools, and applications that use APIs to integrate data across systems
  • Developing data validation checks to clean, verify, and transfer information in CSV, spreadsheet, or SQL formats
  • Scoping open-ended, real-world problems into small, working solutions
  • Teaching and coaching non-technical teammates to use and maintain the solutions you build
  • Explaining technical concepts clearly and patiently to a wide range of audiences
  • Documenting what you build so your work continues to benefit the team beyond your internship
  • Evaluating when custom scripting makes sense and when off-the-shelf no-code/low-code tools are the better choice

Job description

Texas Instruments Incorporated is seeking a Product Marketing Engineer Intern to apply a technical background to automate workflows and build lightweight tools that move data across systems. You will explore AI coding tools to improve product, hardware, and content release processes, and you will help teammates adopt and maintain the solutions you create.

The internship emphasizes building data validation checks, API-driven integrations, and teaching non-technical teammates how to use the

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