Enterprise Account Executive - South Korea

Zilliz · Seoul

Sales & BusinessSalesHybridFull-Time

Zilliz is a fast-growing startup developing the industry’s leading vector database 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.

About the Role

Zilliz is seeking a highly motivated and experienced Enterprise Account Executive to drive our expansion in South Korea. As part of our global Sales team, you will play a key role in building and scaling our presence in one of the most dynamic and fast-growing AI and data infrastructure markets.

At Zilliz, our Sales team is dedicated to accelerating customer success through innovative solutions and strategic partnerships. In this role, you will work closely with enterprise customers across South Korea, helping them navigate their data and AI transformation journeys using cutting-edge vector database technology.

As an Enterprise Account Executive, you will own and develop your territory, engaging senior business and technical stakeholders to identify opportunities, drive complex sales cycles, and deliver long-term value. You will collaborate cross-functionally with Solutions Architects, Marketing, and Product teams to ensure customer success from initial engagement through expansion.

Your impact will be critical in establishing Zilliz as a trusted partner in South Korea. With your passion for technology, strong enterprise sales acumen, and drive to win, you will empower organizations to unlock the full potential of their data and AI initiatives with Zilliz.

What you will do

Proactively prospect for new customers via email, social media, cold calling, and events

Collaborate with Marketing, Customer Success, and SDRs to build and generate a strong sales pipeline

Manage and qualify inbound leads, converting them into high-quality opportunities

Apply a solution-selling approach to help customers identify, quantify, and address their business challenges through Zilliz’s value proposition

Orchestrate cross-functional teams to deliver an optimal end-to-end customer experience

Leverage the MEDDIC sales methodology to effectively manage and advance sales cycles

Engage existing customers to drive product adoption and uncover expansion opportunities

Successfully negotiate and close complex enterprise sales deals

Evangelize Zilliz’s value proposition and key differentiators, helping customers quantify impact against their business priorities

Consistently deliver accurate ACV/TCV forecasts

Be a collaborative and inspiring teammate who contributes to a high-performing, results-driven culture

What we are looking for

Self-starter with a strong desire to thrive in a fast-paced, innovative startup environment

Resilient and persistent, with the ability to recover quickly from setbacks and maintain a “never give up” attitude

Passion for open-source technologies and AI/ML products

5+ years of sales experience in SaaS, PaaS, or Big Data companies

Experience working in an early-stage company, with the ability to navigate and succeed in a fast-growing organization

Consistent track record of exceeding sales quotas

Established relationships with CIOs and other executive-level decision-makers

Proven experience selling $250K+ ACV deals to cloud-native, digital-native companies and AI startups

Strong drive to deliver exceptional results

Demonstrates humility, seeks feedback and coaching, and embraces a growth mindset

High EQ, with the ability to collaborate effectively internally and engage customers externally

Zilliz is an Equal Opportunity Employer and welcomes people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.