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Software Engineer; Ads Delivery) ,Brand Ads

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Full Time position
Listed on 2026-09-14
Job specializations:
  • Software Development
    Backend Developer, Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 162000 - 387600 USD Yearly USD 162000.00 387600.00 YEAR
Job Description & How to Apply Below

Responsibilities

Team Overview

Tik Tok’s immersive content ecosystem and global scale create unique opportunities for brands to reach users in ways that feel native, relevant, and effective. Our team focuses on building the next generation of Brand Innovation products across Premium Reach and Brand Search areas.

We own critical parts of the end-to-end delivery stack behind these products, from traffic allocation and auction strategy to pacing, bidding, ranking, experimentation, and delivery quality. We work closely with Product, Strategy, Data Science, and cross-functional engineering teams to turn ambiguous business opportunities into scalable product capabilities.

This role is not limited to execution. We are looking for engineers who can drive product development end-to-end: identify the right problems, shape technical and product direction, design robust delivery mechanisms, and ship solutions that unlock measurable business impact.

What You’ll Build
  • Contextual Ads:
    Deliver ads alongside highly relevant and premium content with strong controls over supply quality, allocation, and monetization efficiency.
  • Brand Search:
    Build delivery and marketplace capabilities that connect advertiser demand with high-intent search traffic and ranking opportunities.
Responsibilities
  • Build delivery systems across pacing, bidding, auction, traffic allocation, and delivery controls.
  • Drive products from concept to launch with Product, Strategy, and XFN partners.
  • Turn business goals into scalable delivery strategies and system designs.
  • Own technical design, implementation, experimentation, launch, and iteration.
  • Use data and experiments to diagnose issues and drive fast iteration.
Why Join Us

This is a high-impact opportunity to shape how some of Tik Tok’s most strategic brand ads products are delivered and scaled. You will work on real marketplace and systems problems at global scale, influence both product and technical direction, and help define the next generation of delivery capabilities for contextual, search, and content-driven advertising.

If you are excited by auction dynamics, pacing systems, bidding strategy, and end-to-end product ownership, we would love to talk to you.

Qualifications

Minimum Qualifications
  • BS/MS in Computer Science, a related field, or equivalent practical experience.
  • Strong coding, debugging, and system design fundamentals.
  • Proficiency in Go, C/C++, Java, Python, or similar languages.
  • Ability to solve ambiguous problems and make clear engineering trade-offs.
  • Strong cross-functional communication and collaboration skills.
  • Experience with large-scale backend, recommendation, or advertising systems.
Preferred Qualifications
  • Hands-on ads delivery experience in pacing, bidding, auction, ranking, forecasting, or marketplace optimization.
About Tik Tok

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok’s global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of Tik Tok’s mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We’re resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1"…

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