Product Manager Graduate (TikTok-Product-Content Ecosystem-Content Understanding)- 2025 Start (BS/MS)

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Team Introduction
The Content Understanding team is responsible for and aims to provide deep understanding capability support for distribution and governance scenarios, including: content classification, interest tagging, creator authority tagging, large model identification, similarity recall and automated model training, etc., helping the business solve pain points such as inaccurate recognition and slow speed, in mainly two scenarios:

1. In distribution scenario: Develop and iterate on personalized distribution tags such as content classification, information volume, interests, and authority, improving model precision and recall, and solving inaccurate recognition issues. Standardize evaluation processes, deliver one-stop solutions, support good content recognition monitoring and personalized distribution strategy implementation, and enhance content diversity, information value, and consumption depth.
2. In governance scenario: Promote the application of large model recognition capabilities in various problem scenarios, verify and improve precision and recall effects, and help the business solve inaccurate recognition issues. Provide similar content recall and automated model training, supporting the business in quickly recalling more cases and building and iterating models in shorter cycles, solving the issue of slow speed.

We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2025.

Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.

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

• Develop a deep understanding and keen perception of international short video content from both platform and user perspectives.
• Utilize a combination of machine learning and manual correction methods for tasks such as model clustering, annotation, understanding, and quality assessment.
• Gain a thorough understanding of recommendation systems and operational processes while collaborating with recommendation algorithms and analysts to collect application results and produce analytical reports.
• Proactively identify and explore pain points and requirements, expanding application scenarios and directions.
• Assist businesses in efficient integration and make informed interventions based on actual results to deliver quantifiable value.
• Application scenarios include, but are not limited to, recommendation distribution, vertical operations, and data analysis while demonstrate strong logical thinking and problem-decomposition abilities.
• Actively analyze issues, summarize findings, identify opportunities, and drive continuous iteration of capabilities and exhibit excellent communication and collaboration skills.
• Possess strong data analysis abilities, a data-driven mindset, and be familiar with content recommendation processes and basic principles.

Qualifications

Minimum qualifications

• Strong learning ability, diligent and serious at work, actively think and identify problems, and proactively promote business integration.
• Excellent communication, collaboration, and project management skills, resilient under pressure, capable of focusing on key points to solve complex problems, long-term oriented.
• Solid structured thinking ability, strong logical thinking, good data analysis skills, proficiency in SQL is preferred.
• Deep consumers of content products preferred, especially those who love and frequently use overseas content products.
• Effectively align goals, solve problems, and achieve expected results through teamwork.
• Basic understanding of machine learning concepts and data analysis techniques and proficiency in at least one programming language (e.g., Python, R, SQL).
• Strong logical thinking and problem-solving abilities and provide good communication and collaboration skills.
• Ability to analyze data and generate reports with the eagerness to learn and adapt to new technologies and methodologies.

Preferred Qualifications

• Experience with machine learning models and data analysis tools.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with content recommendation systems and related algorithms.
• Strong analytical skills with the ability to interpret complex data and generate actionable insights.
• Excellent communication and interpersonal skills.
• Demonstrated ability to work collaboratively in a team environment.
• Previous internship or work experience in a relevant field.

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

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $112000 - $185000 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.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

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.