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Solutions Engineer (US)

Other Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Lead Experience
Full-time Employment

About this role

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.

Skills detected in the listing

PythonStakeholder ManagementKubernetes
Detected Nov 12, 2026
Last verified Nov 12, 2026

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