Qdrant

HQ
Berlin
Total Offices: 2

Jobs at Qdrant

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Recently posted jobs

2 Days AgoSaved
Remote
26 Locations
Artificial Intelligence • Machine Learning • Software • Database
Design and build Go-based Kubernetes operators and control-plane services managing Qdrant Cloud cluster lifecycles, including provisioning, scaling, upgrades, configuration, backups, restores, replication, and disaster recovery. Develop APIs and integrations, improve hybrid and private cloud capabilities, ensure safe operations, and participate in on-call incident response and root cause analysis.
2 Days AgoSaved
Remote
26 Locations
Artificial Intelligence • Machine Learning • Software • Database
Build and operate Qdrant Cloud’s core control-plane services in Go, including authentication, authorization, security, audit, APIs, and developer tooling. Improve CI/CD, testing, observability, and platform reliability while reducing operational load. Participate in on-call rotations, incident response, and root cause analysis. Collaborate with Cluster Lifecycle, Operations, and Billing & IAM teams to provide secure, scalable infrastructure for engineers, customers, and AI agents.
2 Days AgoSaved
Remote
Colombia
Artificial Intelligence • Machine Learning • Software • Database
Operate and improve Qdrant Cloud’s multi-cloud Kubernetes infrastructure across AWS, GCP, and Azure. Participate in the LATAM follow-the-sun on-call rotation, resolve incidents, conduct root cause analysis, and automate recurring operations using Go and infrastructure-as-code. Drive regional rollouts, improve monitoring, reliability, performance, and cost efficiency, document infrastructure changes, lead incident improvements, and help onboard engineers. The role also involves cross-team collaboration and occasional customer escalation support.
16 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
Artificial Intelligence • Machine Learning • Software • Database
Lead developer relations for Qdrant in the Bay Area through open-source demos, applied AI research, technical articles, videos, conference talks, workshops, hackathons, and developer community engagement. Build applications using vector search, embeddings, and large language models; develop ecosystem partnerships; relay developer feedback to engineering; own DevRel initiatives; and mentor team members.
18 Days AgoSaved
Remote
United States
Artificial Intelligence • Machine Learning • Software • Database
Own product marketing for Qdrant’s developer-facing AI infrastructure, including positioning across self-serve, cloud upgrades, and enterprise sales. Develop buyer scenarios, competitive programs, sales enablement, win-loss research, AI-powered workflows, and launch messaging. Partner with Product, DevRel, Growth, Sales, and Partnerships to support activation, upgrades, enterprise deals, and customer insight programs.
Artificial Intelligence • Machine Learning • Software • Database
Own technical success for strategic APAC customers from onboarding through production, scaling, and expansion. Responsibilities include deployment and performance tuning across Qdrant Cloud and Kubernetes, first-line technical support, architecture reviews, pre-sales assistance, partner enablement, stakeholder management, and customer feedback to Product and Engineering. The role also establishes regional playbooks and processes while serving as Qdrant’s technical representative in APAC.
One Month AgoSaved
Remote
United States
Artificial Intelligence • Machine Learning • Software • Database
Own Qdrant’s B2B demand generation and growth engine, including integrated campaigns, cohort-based nurture journeys, onboarding, newsletters, startup programs, audience targeting, lead scoring, automation, and sales activation. Use data, AI tools, and connected workflows to generate measurable pipeline and revenue. Develop technical product fluency and collaborate with Product Marketing to create campaigns for technical audiences and open-source products.
One Month AgoSaved
Remote
United States
Artificial Intelligence • Machine Learning • Software • Database
Support customers through technical evaluations, proofs of concept, architectural reviews, migration assessments, and resilient search cluster design. Translate infrastructure requirements into pricing and contract inputs, coordinate technical sales workflows across teams, identify deployment risks, and serve as a technical contact for stakeholders. The role requires scripting, distributed-systems sizing, Kubernetes and cloud experience, and strong communication with technical and business audiences.
3 Months 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.