Senior Technical Success Manager (Australia or Japan)

Remote - Australia. Posted 23 days ago

The role

You will own strategic APAC accounts from onboarding through production and expansion. You will provide hands-on delivery, first-line technical support in APAC hours, and pre-sales support for new opportunities.

What you will do

Primary technical owner for largest customers in the region from onboarding through production, scaling, and expansion.
Run health checks and architecture reviews.
Work with customer engineering teams on deployment, configuration, and performance tuning.
Resolve first-line technical questions in APAC hours.
Hold the line on scope, priorities, and customization requests with customers.
Back Account Executives on new opportunities and proofs of concept.
Help regional partners' technical teams position and deploy Qdrant.
Bring field feedback to Product and Engineering to shape playbooks and processes.

Required qualifications

6+ years in customer-facing technical roles at an AI, data, or database infrastructure company.
Hands-on with Kubernetes, Terraform, and at least one major cloud (AWS, GCP, or Azure).
Ability to reason about memory, performance, and scaling problems.
Experience supporting technical evaluations and running long-term customer relationships.
Ability to negotiate with engineering, IT, and security teams.
Self-sufficient and able to work in startup ambiguity.
Based in APAC, ideally Australia.
Communicate clearly in English.
Can occasionally join early or late calls with teammates in Europe and the US.

Nice to have

Direct experience with vector search or search engines, or RAG and agentic AI applications in production.
Experience as an early or first hire building a regional presence for a start-up or scale-up.

Benefits

Competitive salary with additional perks.
Flexible working hours and async-friendly culture.
High ownership and real impact.
Open-source, engineering-driven culture.
Choose your own laptop equipment.

About the company

Qdrant is an open-source vector search engine powering AI applications like semantic search and RAG. They are building the retrieval infrastructure layer for modern AI.