Senior Technical Success Manager (Australia or Japan)
Qdrant is hiring a Senior Technical Success Manager (Australia or Japan). Level rates it ; you can apply on Qdrant.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include Kubernetes, Vector Search and RAG.
- Level lists 6 other open roles at Qdrant.
- The role was posted within the past week.
AI in this role
Provide technical success management and support for vector search and RAG infrastructure in the APAC region.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
You'll join the Customer Success and Engineering organization as our first Senior Technical Success Manager hire in Australia or Japan, reporting to our Director of Customer Success. Our Technical Success Managers in the US and Europe own the post-sale relationship for our most strategic accounts. In APAC, you'll do that and more: you'll be the technical face of Qdrant in the region, working with Account Executives, Support, Forward Deployed Engineers, and Solutions Architects who sit several time zones away.
Most of your time goes to helping customers who already run Qdrant in production succeed and grow. The rest goes to supporting new deals, partner work, and first-line technical questions in APAC hours. It's a hybrid role for someone who likes being first in, figuring things out, and building how we work in a new region.
What you will own
Strategic APAC accounts, end to end. Be the primary technical owner for our largest customers in the region, from onboarding through production, scaling, and expansion. Run health checks and architecture reviews, and spot growth opportunities before the customer asks.
Hands-on delivery. Work directly with customer engineering teams on deployment, configuration, and performance tuning across Qdrant Cloud and self-hosted Kubernetes environments.
First-line technical support in APAC hours. Resolve most technical questions yourself, and hand edge cases to Support and Engineering with clear, evidence-based diagnostics so nothing stalls overnight.
Expectation setting with demanding customers. Hold the line on scope, priorities, and customization requests, and align engineering, IT, and security stakeholders on what happens next and when.
Pre-sales and partner support. Back Account Executives on new opportunities and proofs of concept in the region, and help regional partners' technical teams position and deploy Qdrant.
The voice of APAC customers. Bring field feedback to Product and Engineering, and help shape the playbooks and processes we'll use as the region grows.
Who you are
You have 6+ years in customer-facing technical roles (Technical Account Manager, Technical Success Manager, Solutions Architect, Solutions Engineer, or Forward Deployed Engineer) at an AI, data, or database infrastructure company.
You're hands-on with cloud-native infrastructure: Kubernetes, Terraform, and at least one major cloud (AWS, GCP, or Azure). You can reason about memory, performance, and scaling problems without waiting for someone else.
You've worked both sides of the deal. You can support a technical evaluation as comfortably as you can run a long-term customer relationship.
You bring enterprise maturity. You'll be dealing with our biggest enterprise clients in the region, so you negotiate confidently with engineering, IT, and security teams, and you push back with care when a customer's request doesn't serve them.
You're self-sufficient and enjoy startup ambiguity. You can be the only Qdrant person in your time zone, make good calls on your own, and know when to delegate or escalate.
You're based in APAC, ideally Australia, communicate clearly in English, and 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.
Why join us
A remote-first, international team working on cutting-edge AI infrastructure.
A 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.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
Come build with us!
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#LI-REMOTE
How we rate this
Senior Technical Success Manager (Australia or Japan) at Qdrant rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where customer success was part of your work. What did you do?
- Tell me about a project where technical support was part of your work. What did you do?
- Tell me about a project where solution architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, Customer Success, Technical Support, and Solution Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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