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TikTok

Engineering Senior Manager - Agentic AI Platform - TikTok PGC

San Jose$308,000 – $588,000Posted 18 days ago

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

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.

About the Team
The TikTok PGC Ecosystem & Platform team focuses on building scalable AI platforms and intelligent applications to empower TikTok's global business. Our strategy centers on two key pillars: AI Democratization and Agentic AI Applications.

AI Democratization focuses on developing AI platforms, infrastructure, data flywheels, and post-training toolchains to make advanced AI capabilities accessible across teams, enabling faster experimentation and innovation.

Agentic AI Applications focuses on building AI agent frameworks, tool ecosystems, and automation infrastructure to streamline complex business workflows and improve operational efficiency at scale.

By leveraging TikTok's large-scale data, infrastructure, and business ecosystem, we aim to pioneer the next generation of Agentic Enterprise solutions, enabling intelligent automation across global operations and products.

Responsibilities
- Define the technical strategy and architecture for enterprise-grade Agentic AI platforms, ensuring scalability, reliability, security, and performance.
- Design and build agent frameworks, multi-agent systems, workflow orchestration, and extensible tool ecosystems.
- Develop evaluation frameworks, harness engineering infrastructure, observability, and data flywheels to continuously improve agent performance and reliability.
- Partner with infrastructure teams to advance AI-native architectures, including data infrastructure, security, and governance.
- Own the Agentic AI platform roadmap, delivering scalable AI capabilities across TikTok's global business ecosystem.
- Collaborate with global operations and product teams to identify automation opportunities, optimize workflows, and drive measurable business impact.
- Drive platform adoption, cross-functional collaboration, and execution of strategic AI initiatives.
- Lead multidisciplinary teams across AI/ML, Engineering, Platform Product, and Technical Operations.
- Drive technical innovation, engineering excellence, talent development, and adoption of AI-native development practices.

Qualifications

Minimum Qualifications
- Master's degree or above in Computer Science, AI, Mathematics, or a related technical field, with strong expertise in software engineering, distributed systems, or machine learning.
- Hands-on experience building production-grade AI systems, agent platforms, or enterprise-scale AI infrastructure.
- Strong understanding of LLM technologies, including Transformers, SFT, RLHF, and leading model families (GPT, Claude, Llama, Qwen).
- Experience with agent frameworks such as LangChain, LlamaIndex, AutoGen, or Semantic Kernel, including customization and integration.

Preferred Qualifications
- Experience with harness engineering, data annotation platforms, synthetic data pipelines, or AI training infrastructure.
- Experience operating large-scale agent systems, including concurrency, fault tolerance, state management, and observability.
- Expertise in advanced RAG, retrieval optimization, context engineering, and agent evaluation.
- Open-source contributions or publications in AI/ML-related fields.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $308000 - $588000 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.

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.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Master's degree or above in Computer Science, AI, Mathematics, or a related technical field, with strong expertise in software engineering, distributed systems, or machine learning.
- Hands-on experience building production-grade AI systems, agent platforms, or enterprise-scale AI infrastructure.
- Strong understanding of LLM technologies, including Transformers, SFT, RLHF, and leading model families (GPT, Claude, Llama, Qwen).
- Experience with agent frameworks such as LangChain, LlamaIndex, AutoGen, or Semantic Kernel, including customization and integration.

Preferred Qualifications
- Experience with harness engineering, data annotation platforms, synthetic data pipelines, or AI training infrastructure.
- Experience operating large-scale agent systems, including concurrency, fault tolerance, state management, and observability.
- Expertise in advanced RAG, retrieval optimization, context engineering, and agent evaluation.
- Open-source contributions or publications in AI/ML-related fields.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

View company profile