Enterprise Solutions Engineer

Vaga não está no LinkedIn

🕒 Outubro 29

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 18%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 12 dias.
• Sem salário divulgado.

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Resolve AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

💼 Consultoria

📦 Logística

🏭 Manufatura

Consulting • Logistics • Manufacturing

A Resolve AI é uma empresa de desenvolvimento de software focada em aumentar a eficiência operacional por meio da inteligência artificial. Seu AI Production Engineer investiga e resolve incidentes, permitindo que as equipes se concentrem em suas responsabilidades principais e na inovação. A missão da empresa destaca a importância de fazer com que as máquinas sirvam às pessoas, e não o contrário.

Descrição

• Partner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close • Serve as the technical lead throughout enterprise sales processes • Lead product demos and technical evaluations • Translate customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform • Build trusted customer relationships and act as a consultative advisor • Ensure technical success during pilots and deployments • Collaborate with Product and Engineering to relay customer feedback • Influence roadmap decisions and improve technical messaging • Develop and maintain reusable demo environments, playbooks, and sales engineering tools • Support a repeatable, scalable, high-velocity go-to-market motion

🎯 Requisitos

• 5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role • Ideally experience in enterprise SaaS, DevOps, or AI • Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders • Experience with cloud platforms, especially AWS • Experience with Kubernetes • Strong understanding of DevOps practices in cloud-native environments • Experience in infrastructure automation • Knowledge of security and compliance best practices in cloud-native environments • Ability to present technical concepts clearly to technical teams and executive leadership • Adaptability and self-starter mindset • Ability to thrive in fast-paced, early-stage environments • Legally authorized to work in the United States • May require visa sponsorship to work in the United States

🏖️ Benefícios

• Comprehensive Medical, Dental, and Vision Insurance • Monthly Housing Stipend • Flexible (Unlimited) Paid Time Off • Visa Sponsorship & Immigration Support • 401(k) Plan • Parental Leave • Discretionary Tech Benefit Stipend • Daily in-office Lunches and Dinners • Competitive Pay Packages • Career growth and professional development opportunities • Collaborative, high-trust environment • Mission-driven work on agentic AI and enterprise software

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