Senior Systems Lead — Monetization & Ads at Scale

TikTok Inc.; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Paid parental leave

Short/long-term disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Job summary

TikTok Inc. is seeking seasoned engineers to build and manage high-performance, scalable systems for monetization and ad products. You will work closely with global engineering and product teams in a fast-paced environment to deliver impactful features.

Ideal candidates have 7+ years of experience, strong programming skills (Go, C/C++, Python), and a solid understanding of ML, large-scale systems, and data pipelines. Collaboration and product sense are essential for success.

Qualifications

• 7+ years of work experience in computer science/engineering.
• Proficiency in Go, C/C++, Python.
• Strong critical thinking and problem-solving abilities.
• Knowledge in machine learning, deep learning, backend, large-scale systems, data pipelines.
• Good product sense and experience designing and implementing features.

Responsibilities

• Create monetization products that drive engagement and business outcomes.
• Develop scalable services powering new ad products for billions of requests.
• Design systems to optimize monetization with ML technologies.
• Implement new ad solutions to protect user experiences on TikTok.
• Collaborate with strategy, product managers, and stakeholders to define products from an engineering perspective.
• Contribute to a fast-growing organization with speed and quality.

Skills

Go

C/C++

Python

Education

BS in Computer Science or related field

Job description

TikTok Inc. is seeking seasoned engineers to build and manage high-performance, scalable systems for monetization and ad products. You will work closely with global engineering and product teams in a fast-paced environment to deliver impactful features.

Ideal candidates have 7+ years of experience, strong programming skills (Go, C/C++, Python), and a solid understanding of ML, large-scale systems, and data pipelines. Collaboration and product sense are essential for success.