Solutions Engineer

🕒 Maio 5

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $250.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

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.