Solutions Engineer (US)

Qdrant
San Francisco
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 2-4 yearsSkills: ["Communication","Self-reliance","Customer focus","Ownership"]

Own technical customer engagements end to end, translating architectural needs into pricing and contract terms while coordinating POCs with Support, Product, and Engineering. Help identify deployment risks early and contribute to architecture reviews and migration assessments from Elastic/Solr/OpenSearch to Qdrant. Design resilient, high-availability clusters to meet SLAs, and act as a trusted technical point of contact throughout evaluations.

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FursaFursa
Qdrant
Qdrant
1 day ago

Solutions Engineer (US)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Own technical customer engagements end to end, translating architectural needs into pricing and contract terms while coordinating POCs with Support, Product, and Engineering. Help identify deployment risks early and contribute to architecture reviews and migration assessments from Elastic/Solr/OpenSearch to Qdrant. Design resilient, high-availability clusters to meet SLAs, and act as a trusted technical point of contact throughout evaluations.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Translate architectural requirements (e.g., Multi-AZ, sharding, replication) into pricing models and contract terms.
  • •Coordinate deal execution by unblocking POCs with Support, Product, and Engineering and keeping workflow moving in Jira and Salesforce.
  • •Identify deployment risks early, including noisy neighbor issues, latency bottlenecks, and resource contention.
  • •Support architectural reviews and migration assessments, validating use cases and mapping migrations from legacy search engines to Qdrant.
  • •Design resilient, high-availability search clusters that meet customer SLAs and throughput needs, and serve as a technical point of contact during evaluation.

Pay and Benefits

Perks:401kHealth InsuranceDentalVisionPaid Leave

Key Requirements

  • •2-4 years of technical, customer-facing experience in Sales Engineering, Solutions Architecture, or Technical Consulting.
  • •Background in data science, computer engineering, or a previous DevOps role.
  • •Scripting ability in Python or Bash to validate business value.
  • •Ability to calculate total cost of ownership (TCO) and estimate hardware requirements (RAM, CPU, disk) for distributed systems.
  • •Experience with Kubernetes and cloud platforms (AWS, GCP, or Azure), including how infrastructure choices affect cost and performance.
Experience:2-4 years
Skills:CommunicationSelf-relianceCustomer focusOwnership
Tech Stack:PythonBashKubernetesAWSGCPAzureJiraSalesforceElasticsearchSolrOpenSearchLucene

Company Brief

Qdrant
Develops an open-source, high-performance vector search engine and managed vector database to power semantic search, retrieval-augmented generation, and other AI applications at scale for enterprise customers.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Berlin, Germany
Founded: 2021
Glassdoor
Glassdoor: 3.4
WebsiteLinkedInGlassdoor