Software Engineer - Data Application, TikTok Ads Creative & Ecosystem

at  TikTok

Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Creation is the core of TikTok’s purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That’s how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
A “creative” is the ad (in the form of a short-form video) served to TikTok users, composed of video, background music, call-to-action card, post-click landing page, and other formats that get delivered to users. A quote goes “creativity is the soul of advertising”, because a good ad creative is effective, yet difficult to produce, especially at the scale of TikTok advertising.
The TikTok Ads Creative & Ecosystem team’s mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users. Our work is at the core of TikTok and creator monetization. Examples of our team’s work include TikTok video editor, AI-powered smart video generation (we are also exploring AIGC), and TikTok creative exchange (a creative marketplace to connect TikTok advertisers with creators or third-party creative agencies).
We are user/product oriented and dedicated to technical excellence. We aim to drive and lead the technology renovation in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for software engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or above, majoring in Computer Science or related fields.
• Strong experience in data applications and data foundations (e.g. data warehouse, big data technologies, OLAP)
• Ability to think critically and to formulate solutions in a clear and concise way. Excellent teamwork skills, communication skills, and project management skills.
• 3+ years of experience in data-related product backend/data development.
  TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
  TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
  Job Information
  The base salary range for this position in the selected city is CAD$ 117000- CAD$ 210960 annually.
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  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.
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  The compensation for this position is based on a monthly compensation structure. The range specified is the expected annual compensation for a person in this position.
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  Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
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  We cover 100% premium coverage for employee and dependent’s extended health care insurance. As well as Short/Long term Disability, Basic Life, Survivor Benefit and AD&D insurance plans.
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  Our time off and leave plans are: 11 paid holidays per year plus 19 days of vacation (prorated upon hire and increased by tenure) and 7 paid sick days per year as well as 13 weeks of supplemental paid maternity leave top-up and 10 weeks of Supplemental Paid Parental Leave top-up.
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  We also provide generous benefits such as RRSP company match, EAP, gym and cell phone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice

• Design, develop, and maintain scalable backend systems and data pipelines that process large volumes of data.
• Build a robust data warehouse to support creative insights business and product iterations.
• Collaborate with data engineers and algorithm teams to ensure data is accurately captured, stored, and utilized for analytics and insights.
• Implement best practices for data warehousing, ETL processes, and data integrity.
• Work with the product and business teams to understand changing requirements and proactively adjust the architecture to accommodate these changes.
• Ensure system reliability, scalability, and performance for handling real-time/offline data and large-scale datasets.
  Qualifications