Job Description

About the Team
We are the Employee Mobility & Workplace Service Products Team under the Corporate Information Systems department. Our core mission is to serve ByteDance's global internal office scenarios as the standard-setter for AI-native applications and the driver of globally consistent experiences — we both build flagship AI application scenarios in-house and, using a full-scope evaluation suite as our measurement foundation, drive functional and experiential parity between CN and non-CN regions across core scenarios. Every feature you ship here is backed by the real, everyday usage and feedback of ByteDance employees worldwide.
Why join us:
- Real scenarios, real users — no throwaway demos; your product will actually go live and serve ByteDance employees globally;
- At the forefront of AI applications — Agent, RAG, multi-agent collaboration, workflow orchestration; you'll get hands-on with the hottest directions in the field;
- Tangible impact — use AI to save frontline colleagues real time, every single day.
If you want to turn "AI transforming the workplace" from a slogan into a real product in the most authentic enterprise scenarios, bring your resume or portfolio and come talk to us. We look forward to defining the new workplace experience of the AI era — together with you.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
Here, you'll be deeply involved in the entire journey of an enterprise AI product — from idea to launch:
1. Drive AI Agent product planning and design: shape core capabilities such as agent building from 0 to 1, turning cutting-edge technology into a genuinely usable product experience;
2. Uncover the real needs of enterprise users: distill users' core pain points through interviews, data analysis, and behavioral insights, and drive them into the product;
3. Build and continuously refine the evaluation system: create AI capability evaluation sets, keep track of product effectiveness and model performance, and use data to drive the iteration of both capability and experience;
4. Explore AI application innovation: stay on top of industry trends and experiment with new approaches in office automation, knowledge management, content generation, and more — turning good ideas into real features.