Tech Lead Software Engineer - Ads Growth, Customer Engagement

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.

Why Join Us
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.

Our team focuses on high-performance infrastructure, real-time APIs, and AI-powered recommendation systems to provide timely insights and automated diagnostics for our users. This role is an opportunity to work on cutting-edge engineering challenges, optimize cross-channel interoperability, and build the next-generation engagement platform.

Responsibilities
- Design and implement scalable APIs and infrastructure that support cross-channel customer engagement.
- Build modular, reusable systems that integrate AI-driven personalization and automation across different touchpoints.
- Develop AI-powered recommendation and diagnostic systems to provide real-time insights to customers.
- Optimize real-time data pipelines and ensure the performance, reliability, and scalability of customer engagement solutions.
- Collaborate with Product, UX, Data Science, and ML teams to design and implement seamless engagement experiences.
- Ensure system security, compliance, and best engineering practices in AI-driven solutions.Minimum Qualifications
- Experience in backend or infrastructure engineering, focusing on scalable APIs, distributed systems, or real-time data pipelines.
- Hands-on experience building reusable infrastructure for multi-channel applications.
- Strong expertise in high-performance computing, microservices, and cloud-native architectures.
- Familiarity with leveraging LLMs, NLP, and common machine learning techniques for customer engagement and personalization.
- Strong problem-solving mindset, with experience driving technical execution in cross-functional teams.

Preferred Qualifications
- With past experience focused on scalable infrastructure and AI-driven systems.
- Experience with high-scale, AI-driven personalization and diagnostic platforms.
- Deep expertise in recommendation systems, reinforcement learning, or predictive analytics.
- Cloud infrastructure expertise, including Kubernetes, microservices, and large-scale data processing.
- A/B testing, optimization techniques, and data-driven decision-making experience.
- Proven ability to contribute to open-source projects, publish research, or impact industry best practices.

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