Backend Software Engineer Graduate (User Growth) - 2026 Start (BS/MS)

Responsibilities

The TikTok User Growth team is central to the strategic acquisition, engagement, and expansion of TikTok's global user base, numbering in the billions. Our mandate encompasses driving significant user inflow through both paid and organic channels worldwide, meticulously optimizing new user conversion pathways to maximize retention, streamlining user outreach mechanisms to foster greater activity, and strategically utilizing independent platforms (e.g., TikTok Lite, TikTok Pro, Web) to capture distinct user segments. These comprehensive approaches are designed to achieve accelerated growth in TikTok's overall DAU. Typical Growth projects including AI-Generated Content (AIGC).creative generating, Search Engine Optimizing of Organic acquisition, Intelligent Ads delivery,etc.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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:
- Participate in the design and development of paid delivery systems for TikTok, Lemon8 and other businesses to grow global users;
- Participate in the construction of basic services such as overseas multi-data center design, privacy compliance transformation, data capture and postback;
- Develop major services such as advertising, material production, media channel connection, event management, and data attribution;
- Apply AIGC capabilities to explore material insights, intelligent template splicing, AIGC material effect verification and capability accumulation, etc.;