Software Engineer Project Intern (Lead Ads) - 2026 Start (BS/MS)

Responsibilities

TikTok Lead Ads team is responsible for building lead generation solutions that enable businesses to create seamless interactions with their customers while ensuring our community feels comfortable and safe on the platform. This team aims to provide intuitive, simplified solutions that grow advertiser activation, retention and ARPA via enhanced delivery experience, performance and higher ROI.

Our team owns the end-to-end stack for lead ads, including customer and user experience, ads ranking and delivery, leads management as well as CRM ecosystem. We are looking for software engineers who are excited to grow their business understanding, build highly scalable and reliable systems, partner across functions with global teams, and make big impacts.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities:
• Responsible for the development of scalable and reliable systems aligned with product targets and requirements.
• Build solutions within areas of lead ads management, CRM integration and ecosystem to lay the foundation of lead ads growth.
• Collaborate with cross-functional teams to define products and drive initiatives from an engineering perspective.

Qualifications

Minimum Qualifications:
• BS/MS degree in Computer Science, Computer Engineering or other relevant majors
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.

Preferred Qualifications:
• Extensive knowledge of modern software tech stack, including front-end applications, large-scale backend, and data pipeline.