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TikTok Inc. is seeking a Backend Engineer for the PGC IAP team in San Jose, CA. You will design and maintain backend services for creator subscriptions, paid drama, and governance, building scalable workflows and ensuring data integrity.
You will collaborate with Product, Data Science, Research, and Safety to translate strategic goals into reliable systems, with a focus on performance and observability in a fast-paced environment.
The TikTok Professionally Generated Content (PGC) team builds the product and platform capabilities that help professional creators grow, create, monetize, and expand their reach. We deepen support for high-value verticals such as music and short drama, enriching the range of content on the platform so users find high-quality, diverse professional work.
Scaling a diverse, sustainable professional content ecosystem across global markets requires building for different content formats and business models, aligning creator incentives with audience value, and upholding copyright and content integrity standards.
You will shape the creator support system and the content ecosystem, raising the quality of what people discover on TikTok.
The TikTok Eng-PGC-OGC&Creator Strategy-Subscription&Payment team builds technology that helps TikTok identify, incentivize, and grow high-quality professionally generated content while enabling creators to build sustainable careers on the platform. We develop the strategy and engineering infrastructure that turns creator and platform goals into scalable monetization products, product experiences, and governance solutions.
The team's core business is In-App Purchase (IAP), which covers PGC creator subscriptions and paid short drama. We build the backend systems behind these products, including purchase and entitlement flows, subscription lifecycle management, content unlocking, and revenue settlement, so that creators and content partners can monetize premium content directly with their audiences across global markets. We work at the intersection of large-scale backend engineering, creator strategy, monetization, and trust and safety. You will collaborate closely with Product, Data Science, Research, Design, Operations, and Trust and Safety teams to improve high-quality content supply, creator value, transparency, and the scalability of our creator ecosystem.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year.
The base salary range for this position in the selected city is $128000 - $256000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.