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Salary
≈ $118k – $214k per year (Estimated)
Location
In office (London)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 15, 2026. TikTok scores B on the Alion truth index.

Overview
Company
Impact
Profile match
TikTok is a short-form video platform owned by the Chinese technology group ByteDance and launched internationally in 2016, growing further after the 2018 merger with the lip-sync app Musical.ly. Its recommendation feed surfaces content by engagement signals rather than social graph, which lets new creators reach large audiences quickly and made the app one of the most downloaded in the world. The company runs dual operating hubs in Singapore and Los Angeles and has built an advertising business, a live streaming economy and the TikTok Shop commerce marketplace on top of the video feed.

岗位职责 / Responsibilities

The Solutions Engineering team is a specialized team that is in control of the relationship between TikTok advertising clients. The team is looking for engineers with an entrepreneurial mindset and the voice of the market. The team is made up of creative problem solvers and strategic software engineers who work with clients to understand their problems and develop solutions. We work at the intersection of business and engineering to assist TikTok's marketing and advertising partners to flourish and achieve their business goals by developing technology solutions that fit their demands.

As a Lead Solution Engineer, you will help to partner with different business verticals and enable the full potential of new features, products, and business opportunities. You will be working and supporting cross-functional teams of R&D, Customer Success, and Product Management. This role allows you to use TikTok's platforms and community to solve real-world business problems.

Responsibilities:

- Lead the design and development of scalable, production-grade solutions in collaboration with TikTok Product Engineering teams to meet evolving business and client needs.

- Act as a technical leader and subject matter expert across the Solutions Engineering organization, providing architectural guidance and driving engineering excellence.

- Understand, apply and use TikTok's products and innovative technology, identify, develop, and maximize new and existing commercial prospects with advertising clients.

- Cultivate close partnerships with the customer success team to identify potential business opportunities and support them in achieving business goals.

- Design and build end-to-end systems and launch-plan strategies; launch production-level code, with an emphasis on long-term maintainability and scalability with applicable documentation and test plans, in collaboration with cross-functional teams.

- Identify stakeholders independently and align cross-functional partners toward project completion goals.

- Build and cultivate relationships with internal and external stakeholders.

- Using Data to influence decision-making through the presentation of business value and impact.

任职要求 / Requirements

Minimum Qualifications:

- Bachelor's degree or above, majoring in Computer Science or related fields

- 5+ years of experience in software development, technical solutions design and delivery

- 3+ years of experience in a technical leadership role

- Familiarity with one or more general-purpose programming languages (e.g. Python, Go, Java, C/C++) and API/backend systems design

- Hands-on experience with ML infrastructure (e.g., production model training and deployment, model evaluation, tuning/optimization, data pipeline processing, and debugging production issues).

- Demonstrated ability to tailor your presentation to the audience's technical level and comfort delivering technical subjects to groups of any size or background

- Experience in advertising technology working with large volume data analytics.

Preferred Qualifications:

- Experience with mobile application development and advertising across iOS/Android

- Experience with machine learning frameworks and libraries such as TensorFlow or Keras

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