Senior Technical Success Manager (Australia or Japan)

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, Qdrant is building the retrieval infrastructure layer for modern AI. Recently raised $50M in Series B funding. As a remote-first company, Qdrant values diverse backgrounds, perspectives, and experiences. The role joins the Customer Success and Engineering organization as the first Senior Technical Success Manager hire in Australia or Japan, reporting to the Director of Customer Success. The role focuses on helping customers who already run Qdrant in production succeed and grow, with the remainder spent on new deals, partner work, and first-line technical questions in APAC hours.

Responsibilities

Be the primary technical owner for the largest customers in the APAC region, from onboarding through production, scaling, and expansion; Run health checks and architecture reviews, and identify growth opportunities; Work directly with customer engineering teams on deployment, configuration, and performance tuning across Qdrant Cloud and self-hosted Kubernetes environments; Provide first-line technical support in APAC hours and hand edge cases to Support and Engineering with evidence-based diagnostics; Set expectations with demanding customers on scope, priorities, and customization requests, and align engineering, IT, and security stakeholders; Support Account Executives on new opportunities and proofs of concept, and help regional partners' technical teams position and deploy Qdrant; Bring APAC customer feedback to Product and Engineering and help shape playbooks and processes as the region grows

Requirements

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; Hands-on with cloud-native infrastructure: Kubernetes, Terraform, and at least one major cloud (AWS, GCP, or Azure); Ability to reason about memory, performance, and scaling problems independently; Experience working on both sales and post-sale sides of the deal, supporting technical evaluations and long-term customer relationships; Enterprise maturity to negotiate confidently with engineering, IT, and security teams; Self-sufficient and comfortable with startup ambiguity, able to make decisions and know when to delegate or escalate; Based in APAC, ideally Australia; Communicates clearly in English; Able to 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

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: 401k match, health, dental, and vision insurance, and flexible PTO policy