About
ModelArk is a model-as-a-service (MaaS) platform on BytePlus, offering secure and cost-effective services, including model inference, evaluation, and fine-tuning. This position is responsible for solution design and commercialization.
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Responsibilities
- Design solutions for diverse industries and scenarios and drive their commercialization.
- Externally market-oriented business: Collaborate closely with the sales team to jointly advance the sales process for products and solutions, including solution presentations, requirements analysis, solution design, contract signing, project delivery, and acceptance.
- Internally R&D-oriented collaboration: Communicate and coordinate with product and R&D teams to ensure solution implementation and product iteration, covering model capabilities, product features, and end-to-end solutions.
Requirements
Minimum Qualifications:
- Bachelor’s degree or above in Artificial Intelligence, Computer Science, Engineering, Mathematics, or related fields.
- 1+ years of experience in VideoGen/LLM/VLM B2B solutions or project management, with an understanding of specific application scenarios and experience delivering lighthouse projects.
- Excellent communication and presentation skills in English.
- Strong project management, organizational, and coordination skills, with a results-oriented mindset and a proven ability to deliver outcomes.
- Hands-on capability to develop demos and validate model performance through APIs.
- Strong continuous learning ability, with the capacity to quickly master newly launched products and technologies. Stays current with industry trends and application directions in generative AI, and demonstrates independent judgment regarding short-, medium-, and long-term implementation paths and feasibility across industries.
- Growth mindset, with the ability to embrace market changes, think proactively about solutions, and take action.
Preferred Qualifications:
- Overseas work or study experience, or experience working in global or multicultural teams.
- Broad global perspective on enterprise technology and AI adoption trends.
- Knowledge of the GenAI competitive landscape, including leading foundation models and platforms (e.g., OpenAI, Anthropic, Google, Alibaba/Qwen), and an understanding of their strengths, positioning, and enterprise use cases.
- Experience working with customers or partners on solution design, deployment, or adoption of GenAI technologies.
