Solutions Engineer

🕒 Maio 5

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $250.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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Domino Data Lab

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 Series F em 2022-06

Artificial Intelligence • Enterprise • SaaS

A Domino Data Lab é uma empresa que capacita empresas impulsionadas por IA a construir e gerenciar IA em escala por meio de sua Plataforma de IA Empresarial. A plataforma oferece uma experiência integrada para desenvolvimento de modelos, MLOps, colaboração e governança, permitindo que empresas globais inovem em diversos setores. A Domino apoia o melhor desenvolvimento de medicamentos, agricultura produtiva e criação de produtos competitivos. Estabelecida em 2013 e apoiada por investidores notáveis como a Sequoia Capital e NVIDIA, a Domino permite que as empresas otimizem o uso da IA de forma eficaz.

Descrição

• Lead technical evaluations and demonstrations of the Domino platform for Enterprise customers in a multitude of industry verticals • Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure • Collaborate with account executives to craft solution architectures that meet industry-specific security and compliance standards (e.g., FedRAMP, IL5) • Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles • Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment • Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key prospect accounts

🎯 Requisitos

• Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms. This does not necessarily need to be at a software vendor, equivalent solution engineering tasks internally or as a consultant developer could work • Experience with Enterprise customers, understanding their procurement processes, compliance constraints, and security environments • Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise software deals • Experience working in complex IT environments, including hybrid or air-gapped systems • Proficiency in Python, R, and modern data science / machine learning tools • Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS, Azure, GCP), and networking concepts • Understanding of the end-to-end AI lifecycle, from experimentation to production.

🏖️ Benefícios

• equity • company bonus or sales commissions/bonuses • 401(k) plan • medical, dental, and vision benefits • wellness stipends.