# Solutions Engineer (US) at Qdrant.Tech

> Own the technical side of enterprise deals, scoping, pricing and deploying vector search solutions for complex customers.

- Company: Qdrant.Tech (qdrant.tech)
- Location: Remote - United States (remote)
- Places: Remote, United States
- Posted: 2026-09-22
- Team: Solutions Engineering
- Work mode: Remote
- Apply: https://jobs.ashbyhq.com/qdrant.tech/f8850cc9-c587-48e2-b1dc-1d20d3f91362
- Page: https://ye.saranatour.dev/jobs/solutions-engineer-us-qdrant-tech-kn7cwa9ataa8p6j8ar1wv53gqn8hdb8g

## The posting

Solutions Engineer (US)
Qdrant.Tech · Remote - United States

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.

## **The Team and Your Impact**

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 expe