---
title: 'Solutions Engineer (US) at Qdrant'
canonical: 'https://feeny.ai/job/solutions-engineer-us-qdrant-united-states-akhs507c4h70'
type: 'job'
last_seen: '2026-10-18'
---

# Solutions Engineer (US) at Qdrant

- **Company:** Qdrant
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-22
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/qdrant.tech/f8850cc9-c587-48e2-b1dc-1d20d3f91362

## Job description

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. We're looking for a Solutions Engineer to own the technical side of our enterprise deals, partnering with Account Executives as the technical authority rather than a supporting player. You'll lead the scoping, pricing, and deployment of semantic search, image and video search, and on-premise and edge deployment solutions for our most complex enterprise customers. This is a hands-on, customer-facing role for someone with real depth in solutions engineering who's ready to run high-stakes deals independently.

What you will own:

- Own Technical-to-Commercial Strategy: Translate complex architectural requirements (multi-AZ, sharding, replication) into accurate pricing models and contract terms, independently protecting deal value in high-stakes negotiations.
- Drive Deal Execution End to End: Own the technical sales workflow across Support, Product, and Engineering to unblock POCs, resolving cross-functional bottlenecks without escalation.
- Identify and Mitigate Deployment Risk: Proactively spot noisy neighbor issues, latency bottlenecks, and resource contention before they threaten renewals or expansions, and advise customers on architectural fixes.
- Lead Architectural Reviews and Migration Assessments: Run discovery sessions solo, validate use cases, and design migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant.
- Design Resilient, Production-Grade Architecture: Spec high-availability search clusters that meet demanding customer SLAs and throughput requirements, including for the most technically complex accounts.
- Own Client Trust at the Executive Level: Serve as the primary technical authority during evaluation, guiding customers to value quickly and acting as a long-term advisor beyond the initial sale.

## Who you are

- 2-5 years of technical, customer-facing experience in Sales Engineering, Solutions Architecture, or Technical Consulting, with a track record of owning complex, high-value deals independently, including at least 2 years of direct, hands-on vector search experience (Qdrant, Pinecone, Weaviate, Zilliz/Milvus, or similar). Background in data science, computer engineering, or a previous DevOps/SRE role, with demonstrated depth rather than surface exposure is preferred.
- Strong scripting ability in Python or Bash, used to build reusable tools and validate business value at scale, not just one-off scripts.
- Fluency in calculating total cost of ownership (TCO) and estimating hardware requirements (RAM, CPU, disk) for distributed systems, including for multi-region or highly regulated deployments.
- Deep expertise in Kubernetes and cloud platforms (AWS, GCP, or Azure), with a clear point of view on how infrastructure choices affect cost and performance at scale.
- Excellent communication skills, comfortable running the room with engineers, VPs, and business stakeholders alike, and able to influence without authority across internal teams.

## Preferred Qualifications

- Exposure to enterprise procurement processes, infosec questionnaires, or MSA redlines.

## 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!

For information on how we handle your personal data, please refer to our [Recruitment Privacy Policy](https://qdrant.tech/legal/recruitment-privacy-policy/)

## #LI-REMOTE

## About Qdrant

## Company Overview
- **One-liner**: Qdrant provides an open-source, high-performance vector search engine and database built in Rust, powering AI retrieval applications.
- **Entity Type**: Private (Series B)
- **Headquarters**: Berlin, Germany
- **Founded**: 2021
- **Founders**: Andrey Vasnetsov (CTO) and Andre Zayarni (CEO)

## Core Business
- **Primary industry/industries**: Vector database software, AI infrastructure, search and retrieval.
- **Target customers**: B2B – enterprises, AI/ML teams, developers building semantic search, RAG, recommendation systems, anomaly detection, and AI agents.
- **Mission or purpose statement**: "Powering the next generation of AI applications with advanced and high-performant vector similarity search technology."

## Products & Services
- **Qdrant Cloud**: Fully managed SaaS on AWS, GCP, or Azure with auto-sharding, high availability, and native cloud inference for embeddings.
- **Qdrant Hybrid Cloud**: Bring your own Kubernetes with decoupled control and data planes for flexible on-prem or multi-cloud deployments.
- **Qdrant Private Cloud**: Air-gapped, compliant deployments for maximum data control.
- **Qdrant Edge (Beta)**: Lightweight, low-latency vector search for edge devices.
- **Core Engine**: Open-source Rust-based vector database with SIMD, custom Gridstore engine, real-time indexing, memory-efficient storage (quantization up to 64x reduction), and built-in support for dense/sparse vectors, hybrid search, multivector, and reranking (ColBERT, MMR).
- **Developer Tools**: REST and gRPC APIs, official clients (Python, JavaScript), built-in Web UI for visualization, and integration with Prometheus/Grafana/Datadog.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of **$88.3M** across five rounds (Pre-Seed, Seed, Series A, Series B, and a venture round). Annual revenue estimated at **$1.0M**.
- **Notable Investors/Partners**: Lead investors include AVP (Series B), Spark Capital (Series A), Unusual Ventures (Seed), 42CAP (Pre-Seed). Other investors not fully named.
- **Growth Signals**: 60% headcount growth year-over-year (88 employees as of mid-2025); 30k+ GitHub stars; 60k+ community members; 30 active job postings; expansion to 23 countries; SOC2 & HIPAA compliant.

## Competitive Advantages
- **Pure Rust implementation** with SIMD and a custom storage engine (Gridstore) – no wrappers, no bolt-ons, delivering high performance and low latency.
- **Real-time indexing** – new vectors are searchable immediately without full index rebuilds.
- **Memory-efficient storage** using asymmetric, scalar, and binary quantization (up to 64x memory reduction).
- **Hybrid search** (dense + sparse) with built-in BM25, SPLADE++, miniCOIL, and ColBERT reranking.
- **Filtering during HNSW traversal** – no pre/post-filtering, high recall under complex conditions.
- **Enterprise-grade security** (RBAC, SSO/SAML/OIDC, multitenancy, private networking, air-gapped options).
- **Flexible deployment** – cloud, hybrid, private, edge, on-prem.

## Strategic Focus
- **Current priorities**: Scaling enterprise adoption of AI retrieval; deepening cloud platform capabilities (native inference, managed services); expanding edge and hybrid deployment options; improving developer experience with multivector and reranking features.
- **Direction for growth**: Becoming the go-to vector database for production-grade AI applications, from RAG agents to recommendation systems.

## Why Work Here
- **Culture highlights**: Open-source DNA with a strong engineering ethos; high-growth environment (60% YoY headcount); distributed team across 23 countries (US, Germany, Spain, France, India, UK, etc.).
- **Remote/hybrid policy**: Hybrid model for Berlin HQ (some roles listed as hybrid); many positions are posted as EMEA or remote-friendly.
- **Notable perks**: Work on cutting-edge AI infrastructure with Rust; contributing to a popular open-source project (30k+ GitHub stars); opportunities to shape a rapidly scaling product.
- **Engineering culture**: Heavy emphasis on performance and first-principles optimization; small, focused teams with high ownership (88 employees); recent VP of Engineering search signals expansion in technical leadership.
- **Active hiring**: 30 open positions across engineering, cloud infrastructure, FinOps, marketing, sales, and technical success.

## Sources
1. [Qdrant Website](https://qdrant.tech/)
2. [Qdrant Careers Page on Ashby](https://jobs.ashbyhq.com/qdrant.tech)
3. [Qdrant About Page](https://qdrant.tech/about-us/)
4. [Qdrant LinkedIn Company Page](https://www.linkedin.com/company/qdrant)
5. [Qdrant GitHub Repository](https://github.com/qdrant)

## Other roles at Qdrant

- [Growth Marketing Manager (US)](https://feeny.ai/job/growth-marketing-manager-us-qdrant-united-states-akb4njcgf07m) — United States
- [Marketing Designer](https://feeny.ai/job/marketing-designer-qdrant-spain-79qt8n1qfse4) — Spain
- [Senior Support Engineer (EMEA)](https://feeny.ai/job/senior-support-engineer-emea-qdrant-emea-2ps7gpzw324b) — EMEA
- [Senior Solutions Engineer (APAC)](https://feeny.ai/job/senior-solutions-engineer-apac-qdrant-australia-z4e5n76tspv6) — Australia
- [Senior Software Engineer Platform](https://feeny.ai/job/senior-software-engineer-platform-qdrant-germany-gmr6xqfpc3vx) — Germany
- [Staff Software Engineer Platform](https://feeny.ai/job/staff-software-engineer-platform-qdrant-emea-hd8g5a1g6th2) — EMEA
- [Business Development Representative (EMEA)](https://feeny.ai/job/business-development-representative-emea-qdrant-germany-fkjzrjfsta6a) — Germany
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