Engineering Manager - TikTok Ads Platform, Intelligent Experience

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join UsCreation 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. We are looking for entrepreneurial spirits to join our team.

You will have a chance to shape monetization efforts, from the ground up for TikTok. In this role, you will partner with cross-functional leaders to assess performance and plan for the future.

What we do : TikTok is seeking a visionary and experienced Engineering Leader to drive the innovation and enhancement of our Ads Platform's Intelligent Experience.

We are looking for a leader with passion for building a GPT-native ads platform supporting billion dollar businesses. You will work very closely with product managers, UX, strategist and machine learning teams to bring the most intuitive and efficient platform for customers.

We believe experience just matters no less than the AI technology behind it. You will be the one waving the most cutting-edge technology into the product and bringing it to the customers.

Why Join Us : - Be part of an innovative team that is transforming the ad tech industry.- Opportunity to work on cutting-edge technologies and solve challenging problems.

Competitive compensation and benefits package.- A culture that values diversity, inclusion, and continuous learning. Responsibilities : 1.

Lead, mentor, and grow a high-performing engineering team focused on developing intelligent experience for our ads platform.

2. Foster a collaborative and innovative team culture that promotes continuous learning and improvement.3. Set clear goals, expectations, and performance standards for the engineering team.

4. Define and execute the technical vision and strategic roadmap for the ads platform’s intelligent experience, ensuring alignment with business objectives.

5. Oversee the design, implementation, and maintenance of scalable and robust systems incorporating AI features to enhance onboarding, ad targeting, personalization, and effectiveness.

6. Ensure best practices in software development, testing, and deployment are followed.7. Stay abreast of the latest advancements in AI, machine learning, and front-end technologies.

8. Identify opportunities for continuous improvement in the platform’s performance and user experience.9. Collaborate with product managers, data scientists, and other stakeholders to align engineering efforts with business goals and product requirements.

10. Communicate effectively with stakeholders, including senior leadership, to provide updates on project status, risks, and opportunities.

11. Ensure the platform adheres to industry standards, security protocols, and privacy regulations.12. Implement rigorous testing and quality assurance processes to maintain high levels of reliability and performance.

Requirements : 1. 5+ years of experience in software engineering, with significant front-end (FE) and full-stack development experience.

2. Strong proficiency in front-end technologies (., JavaScript, React, Angular) and programming languages (., Python, Java, C++).

3. Extensive experience with machine learning frameworks (., TensorFlow, PyTorch) and data processing technologies (., Hadoop, Spark).

4. Deep understanding of ad technologies, including programmatic advertising, real-time bidding, and user segmentation.5.

Experience with conversational AI, recommendation systems, and Copilot-like intelligent features. Minimum Qualifications1.

Bachelor's degree in Computer Science or related field; Master’s preferred2. Minimum 5+ years of relevant experience, including experience in a leadership role3.

Strong problem-solving skills and the ability to make decisions under uncertainty.4. Exceptional communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.

5. Excellent leadership and people management skills, with a proven track record of building and leading high-performing teams.