Solutions Engineer

M
Massed ComputeCloud Infrastructure
Remote - United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
Typically 5-10+ years of professional experience
Required Skills
Artificial IntelligenceDocumentationCustomer Success

Requirements

  • 5-10+ years of professional experience in solutions engineering, sales engineering, forward-deployed engineering, TAM, product engineering, or developer relations.
  • Strong ability to understand technical products and explain them clearly to sophisticated customers.
  • Experience translating messy customer requirements into concrete technical solutions and next steps.
  • Strong written and verbal communication skills, especially in customer-facing technical contexts.
  • Ability to earn trust with both commercial and engineering stakeholders.
  • Track record of creating reusable assets and processes.
  • Experience working at a high-growth technology company, rapidly scaling startup, or similarly demanding environment.
  • Experience with highly technical products, ideally in cloud infrastructure, AI, developer tools, or data infrastructure.
  • Fluency with AI tools and excitement about using them to improve technical work.
  • Bachelor’s degree or equivalent combination of education, training, and experience.

Responsibilities

  • Partner with go-to-market teammates on discovery, solution design, technical validation, and customer-facing problem solving throughout the sales process.
  • Assess workloads, architecture needs, infrastructure constraints, performance expectations, and implementation tradeoffs to translate requirements into solutions.
  • Lead technical conversations, answer deep product and infrastructure questions, and demonstrate platform fit.
  • Identify technical gaps, dependencies, and delivery risks early to address them before they become customer problems.
  • Build demos, solution briefs, technical collateral, playbooks, and FAQs to make the technical sales motion more scalable.
  • Turn customer feedback, objections, and recurring requirements into actionable input for roadmap, product improvements, and packaging.
  • Support onboarding and expansion to ensure customers get from signed deal to successful usage quickly.
  • Build lightweight processes, documentation, and workflows to make solution work more visible and repeatable.
  • Use AI tools aggressively to accelerate research, solution development, documentation, and technical communication.
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