Fullstack Software Engineer, TikTok for Business Recommendation

$145,000 - $250,000/Yr

Tiktok - San Jose, CA

Full-time - Mid Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The TikTok for Business (TT4B) recommendation engineering team is responsible for building the next-generation TT4B recommendation system. This system aims to provide individual advertisers with fully customized recommendations for all operational ads management, complete with quantitative adoption estimates and self-serviceable or automated actions. These recommendations will be prominently displayed to advertisers across various TT4B products, including Ads Manager, Business Suite, Business Account, and the TT4B Marketing Website. The team oversees every component end-to-end, from recommendation population and expansion to performance and rendering. We leverage cutting-edge AI technology, highly distributed systems, and industry-leading frontend technologies to innovate and enhance our offerings. We are seeking engineers who are eager to contribute to the development of the most powerful and impactful TT4B recommendation systems. In this role, you will have the opportunity to learn about the core ads infrastructure and gain insights into various advertising domains, such as creatives, measurement, budget management, and campaign creation flows. You will collaborate directly with business partners to influence product roadmaps, enhance customer satisfaction, and drive revenue growth. Additionally, you will engage with a strong technical community, including domain experts, to promote architectural and product excellence.

Responsibilities

• Design and implement new features for the TT4B recommendation system.
• Develop, deploy, optimize, troubleshoot, and operate TT4B end-to-end systems.
• Collaborate with attribution and data engineering teams to monitor and improve TT4B recommendation performance.
• Work with leadership and sister teams to promote the TT4B recommendations framework and integrate it with the TT4B end-to-end ads solution.
• Partner with dedicated PMs to refine, review, and drive iterations of TT4B recommendations' requirements.

Requirements

• Bachelor's degree in computer science or a related technical discipline.
• Hands-on full stack (backend and frontend) coding experience.
• 3+ years of experience in software engineering with strong fundamentals in algorithms, data structures, and software design.
• Proficiency in designing, implementing, and operating large-scale distributed systems.
• Strong teamwork skills, including communication, ownership, empathy, and honesty.

Nice-to-haves

• Experience in the advertising industry.
• Familiarity with recommendation engines, machine learning, data analysis, domain-driven design, and complex infrastructure.

Benefits

• 100% premium coverage for employee medical insurance and approximately 75% for dependents.
• Health Savings Account (HSA) with company match.
• Dental and Vision insurance.
• Short/Long term Disability insurance.
• Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for healthcare and dependent care.
• 10 paid holidays per year and 17 days of Paid Personal Time Off (PPTO).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.