Product Engineering Intern

Job Description

Company Description

GenPark is a pioneering discovery platform revolutionizing global commerce. We achieve this by introducing Intelligent Brand Agents and User Agents that leverage behavioral and contextual insights. By seamlessly integrating personalized AI content, interactive agents, and immersive video, GenPark empowers brands to effectively connect with and engage Gen Z audiences. Our platform streamlines the entire discovery, engagement, and conversion process, enabling businesses to deliver highly tailored experiences. GenPark is at the forefront of innovation, dedicated to creating cutting-edge agent-driven solutions for modern marketing.

Role Description

This is an exciting internship opportunity for a Product Engineering Intern at GenPark. This is a hybrid role, based in Seattle, WA, with some work-from-home flexibility. In this position, the intern will be instrumental in:

• Assisting in the development and enhancement of new and existing product features.
• Collaborating closely with cross-functional teams, including product managers, designers, and other engineers.
• Contributing actively to various software development initiatives across the platform.
• Conducting essential product-specific research to inform development strategies.
• Supporting project management activities, aiding in planning and execution.
• Analyzing data rigorously to inform critical product decisions and improvements.

Qualifications

• Demonstrated experience or relevant coursework in Product Engineering and Software Development.
• Proficiency in leveraging Analytical Skills to assess data and inform product improvements.
• Strong Communication skills for effective collaboration with both technical and non-technical teams.
• Familiarity with basic Project Management principles to assist in planning and execution.
• Possesses keen attention to detail, strong problem-solving abilities, and a genuine passion for technology and innovation.
• Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field.
• Experience with AI, machine learning, or virtual agents is a significant plus.