Solutions Architect, Zilliz

NYC Metro Area

Salary not provided

+ Bonus + Equity

Python

Java

Node.js

Senior level

New York

Vector database for production-ready AI

Job no longer available

Vector database for production-ready AI

101-200 employees

B2BArtificial IntelligenceData storageAnalyticsSaaS

Job no longer available

Salary not provided

+ Bonus + Equity

Python

Java

Node.js

Senior level

New York

101-200 employees

B2BArtificial IntelligenceData storageAnalyticsSaaS

Company mission

To democratise AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organisation.

Job

Company

Role

Who you are

Bachelor's degree or above in Computer Science, Information Technology, or related field
Over 5 years of experience in infrastructure software pre-sales, development, or consulting
Good understanding of the following areas: Cloud-native, Database, and Machine Learning
Good understanding of open source and experience with an open-source community is ideal
A team player who is optimistic, integral, responsible, good at communicating, and willing to help other colleagues
A passionate learner and a powerful problem-solver with decisiveness
Coding experience in Python, Node.js, Go, or Java
We hope you can adapt to a fast-changing environment (i.e. the different stages of a startup company)

What the job involves

Drive technical engagements with key customers to deliver quality technical solutions and services
Establish repeatable motions and best practices to improve the efficiency of customer projects. Build technical resources such as tutorials, white papers, and tools to address customer needs
Play an active role in the open-source community. Work as a community technical expert and keep your influence by actively joining all types of community activities and events
Build long-term strategic relationships with potential clients and identify new opportunities in the user community
Responsible for communicating with key users/clients and providing them with help throughout the whole process of trial, testing, and delivering a full solution in production

Our take

Vector databases have become essential for powering advanced AI applications, which demand high recall, low latency, and robust throughput. Zilliz has positioned itself at the forefront of this field with its vector database management system, Milvus.

Building on its initial success, Zilliz released Milvus 2.4m in 2024, which significantly enhances vector search capabilities. This version introduced GPU indexing, leveraging NVIDIA's CUDA-Accelerated Graph Index for Vector Retrieval (CAGRA), which outperforms traditional CPU-based indexes like HNSW. In 2026, Milvus 2.6 was released, harnessing even more power at a lower cost.

Zilliz's commitment to innovation is further demonstrated by the expansion of its Hybrid Search capabilities, including a beta version of sparse vector embeddings for more accurate and semantically rich searches. These advancements, along with the evolution of Zilliz Cloud, emphasise the company's dedication to pushing the boundaries of what vector databases can achieve and make the future of the company an exciting one.

Freddie

Company Specialist at Welcome to the Jungle

Insights

27% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 3 rounds)

Aug 2022

$60m

SERIES B

Nov 2020

$43m

SERIES B

Total funding: $113m

Company benefits

Equity
Regular bonus and equity refresh opportunities
Comprehensive medical, dental, and vision insurance
Paid time off, including vacation, bereavement, and sick days
Generous 401(k) and regional retirement plans
Hybrid work model/Remote work opportunities available

Company HQ

Centennial, Redwood City, CA

Leadership

Charles Xie

(CEO)

Previously worked as a Senior Software Engineer at Oracle, before creating The Milvus Project. Serves on the governing board of the LF AI & Data Foundation.

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