Solutions Engineer (US)

qdrant.tech; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Remote-first environment

Laptop equipment provided

401(k) matching

Health/Dental/Vision coverage

Flexible PTO

Job summary

qdrant.tech is seeking a customer-facing solutions engineer to translate business needs into technical requirements and guide discovery with sales teams and customers. You will lead demonstrations, define success metrics, and coordinate proofs of concept across data science, databases, and search domains.

Applicants should have 1–2+ years in client-facing roles, strong communication, and the ability to prototype quickly in Python.

Qualifications

• 2+ years in a customer-facing technical role such as solutions engineering, TAM, or customer success.
• Professional technical experience in data science, databases, infrastructure, or search.
• Strong verbal and written communication with the ability to guide discovery and clarify requirements.
• Ability to prototype quickly in Python; production software development not required.

Responsibilities

• Join discovery conversations and translate business needs into technical requirements.
• Lead product demonstrations and align on success metrics, architecture, and deployment options.
• Scope and coordinate proofs of concept with timelines and deliverables; involve engineers as needed.
• Run benchmarks across text, image, and video scenarios, explaining tradeoffs like memory, latency, and throughput.
• Create reusable demos, configurations, and playbooks for common customer needs.

Skills

Communication

Python scripting

Project follow-through

Tools

Kubernetes

Job description

Role overview

Partner with sales teams and customers to shape technical solutions for search and AI use cases. You’ll guide discovery, demonstrations, and proofs of concept, then help turn successful approaches into repeatable deployment patterns and practical guidance.

Responsibilities

• Join customer discovery conversations and translate business needs into clear technical requirements.
• Lead product demonstrations and align on success measures, architecture, and deployment options.
• Scope and coordinate proofs of concept, keeping timelines, deliverables, and next steps on track; involve specialist engineers when deeper implementation work is needed.
• Run standard deployments and benchmarks across text, image, and video scenarios, explaining tradeoffs such as memory use, latency, and throughput.
• Create reusable demos, configurations, and playbooks for common customer needs.

Requirements

• 1–2 or more years in a customer-facing commercial role, such as solutions engineering, technical account management, customer success, or support engineering.
• Professional technical experience in areas such as data science, databases, infrastructure, or search.
• Strong communication skills and the ability to lead structured discovery and clarify uncertain requirements.
• Comfort engaging both commercial and technical stakeholders.
• Ability to script and prototype quickly in Python; production software development is not required.
• Organized, proactive project follow-through.

Nice to have

• Experience designing search infrastructure or supporting benchmarks and proofs of concept.
• Familiarity with retrieval-augmented generation, embeddings, Kubernetes, or cloud infrastructure tradeoffs.

Benefits and work setup

• Remote-first, international work environment with flexible hours and an async-friendly culture.
• Competitive salary, additional perks, and choice of laptop equipment.
• For US-based full-time employees: 401(k) match, health, dental, and vision coverage, plus flexible paid time off.