At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

Team Introduction
The US e-commerce recommendation team supports TikTok e-commerce business growth by improving consumer/seller/creator experience via recommendation products. We are looking for experienced PMs to identify business problems/opportunities in the US market and build innovative recommendation products to achieve high business goals.

We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2025. Successful candidates must be able to commit to one of the following summer internship start dates below:
Monday, May 12
Monday, May 19
Tuesday May 27 (Memorial Day May 26)
Monday, June 9
Monday, June 23

We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Drive long-term e-commerce business development on TikTok by leveraging the power of recommendation and personalization.
- Set clear product roadmap by analyzing and identifying business problems/opportunities. Define product key milestones and manage product development cycles.
- Collaborate with other xFN teams to build and iterate our strategies and products.

Qualifications

Minimum Qualifications:
- Currently pursuing a full-time MBA or related discipline.
- BA/BS degree in Computer Science, EE, Mathematics or Statistics, or equivalent practical experience. Experience with machine learning/ recommendation systems is a plus.
-Strong data sense and comfortable working with Machine Learning Algorithm and AI systems.

Preferred Qualifications
- 3+ years of experience in recommendation/ad delivery/search products; experience in e-commerce platform recommendation/e-commerce ad delivery products is preferred;
- Strong cross-team/culture collaboration ability and excellent communication skills;
- Fast learning and self driving

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2