Qdrant

HQ
Berlin
Total Offices: 2

Jobs at Qdrant

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Recently posted jobs

YesterdaySaved
Remote
United States
Artificial Intelligence • Machine Learning • Software • Database
The Junior Technical Success Manager ensures technical delivery and adoption of AI solutions, manages projects across stakeholders, oversees technical health, and educates customers on best practices.
Artificial Intelligence • Machine Learning • Software • Database
Design, implement, and operate a cloud-native platform: build and maintain Kubernetes clusters and custom operators, write production Go code for platform services and automation, optimize multi-cloud infrastructure for cost and reliability, improve observability and CI/CD/IaC automation, support incident response and system hardening, and collaborate with engineering teams to improve developer experience and reliability at scale.
YesterdaySaved
Remote
United States
Artificial Intelligence • Machine Learning • Software • Database
As an Associate Technical Success Manager, you will manage the technical delivery and success of strategic accounts, ensuring effective implementation and usage of AI solutions while coordinating with various stakeholders.
2 Days AgoSaved
Remote
4 Locations
Artificial Intelligence • Machine Learning • Software • Database
Hands-on security engineer responsible for vulnerability triage, bug-bounty management, code-level investigations (Rust/Go/Python), cloud and container security (AWS, Kubernetes), securing CI/CD and GitHub orgs, incident response, security automation, metrics/reporting, and building guardrails across the development lifecycle.
3 Days AgoSaved
Remote
26 Locations
Artificial Intelligence • Machine Learning • Software • Database
The Senior FinOps & Cloud Analyst will analyze cloud costs, develop pricing models, and ensure healthy margins through data-driven insights on infrastructure and customer usage.
3 Days AgoSaved
Remote
26 Locations
Artificial Intelligence • Machine Learning • Software • Database
The Cloud Infrastructure Cost Analyst will analyze cloud usage, build reports, develop cost models, and optimize cloud spending by collaborating with engineering and finance teams.
3 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Machine Learning • Software • Database
The Head of Marketing will lead and scale Qdrant's marketing team, driving demand generation, product marketing, and growth strategies while collaborating closely with sales and product teams.
4 Days AgoSaved
Remote
United States
Artificial Intelligence • Machine Learning • Software • Database
Drive inbound and outbound prospecting into enterprise accounts for Qdrant, qualify leads, run discovery conversations with engineering/AI audiences, book qualified meetings, support Enterprise AEs on account strategy, and maintain accurate Salesforce pipeline data while hitting monthly and quarterly pipeline targets.
7 Days AgoSaved
Remote
United States
Artificial Intelligence • Machine Learning • Software • Database
Serve as the primary technical owner post-sale for strategic accounts, coordinating Solutions Architects, FDEs, and Support to drive deployment, adoption, and technical health of vector search, RAG, and agentic AI solutions. Manage projects and stakeholders, run architecture reviews, escalate critical issues, and relay customer feedback to Product and Engineering.
12 Days AgoSaved
Remote
4 Locations
Artificial Intelligence • Machine Learning • Software • Database
Drive inbound and outbound prospecting into named enterprise accounts, qualify leads, run discovery conversations with engineering and AI/data leaders, book qualified meetings, and collaborate with Enterprise AEs to develop account plans. Maintain Salesforce, build scaled outreach workflows (e.g., using Claude and Common Room), research expansion opportunities, and hit monthly and quarterly pipeline targets.
Artificial Intelligence • Machine Learning • Software • Database
Build and automate internal tools and services to operate Qdrant Cloud at scale. Develop platform components in Go and Python, improve Kubernetes automation, provisioning, reliability, scalability, and observability. Collaborate on architecture, participate in incident response, and reduce manual operational toil through automation.