This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Zilliz is a fast-growing startup developing the industry's leading vector database company for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.
Job Responsibility:
Lead customer-facing technical engagements throughout the pre-sales and post-sales lifecycle, including discovery, solution architecture, technical demonstrations, POCs, and production deployments
Partner closely with Sales teams to articulate technical value propositions, address customer requirements, and remove technical barriers to adoption
Design and recommend scalable, secure, and high-performance architectures tailored to enterprise customer environments
Develop and standardize repeatable processes, best practices, and reference architectures to improve delivery efficiency and consistency across customer engagements
Create and maintain technical enablement materials, such as tutorials, solution guides, white papers, and tooling, to support both customers and internal teams
Act as a technical liaison between customers and product/engineering, providing structured feedback and influencing product roadmap decisions
Build long-term, trusted relationships with key customers and user communities, identifying expansion opportunities and driving deeper adoption
Support customers end-to-end, from initial evaluation and trial through production rollout and ongoing optimization
Requirements:
Bachelor’s degree or above in Computer Science, Information Technology, or a related field
5+ years of experience in a customer-facing technical role such as Sales Engineer, Solutions Architect, Pre-Sales Engineer, or DevOps/Infrastructure Engineer supporting enterprise software
Strong understanding of cloud-native architectures, distributed systems, databases, and modern data or machine learning platforms
Hands-on experience explaining complex technical concepts clearly to both technical and non-technical stakeholders
Experience engaging with open-source technologies and communities, with a solid understanding of open-source principles and collaboration models
Fluent in Japanese, both written and verbal
A proactive, collaborative team player with a strong sense of ownership and accountability
Startup mindset: comfortable with ambiguity, eager to build from scratch, and motivated to improve processes rather than wait for them to exist
A fast learner who enjoys solving complex problems, balancing thoughtful analysis with decisive action in a fast-paced environment
Nice to have:
Familiarity with the Japan enterprise technology landscape and customer environment is a strong plus