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.
What You Will Do
- 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
What We Are Looking For
- 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
- Familiarity with the Japan enterprise technology landscape and customer environment is a strong plus
- 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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