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Solutions Engineer – Enterprise

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

Where this job comes from

Posted on Factory's careers page, not through a job board

First seen by Remote Rocketship 13 hours ago

Still open on Factory's site. Checked 1 hour ago.

Logo of Factory

Factory

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Factory is an enterprise software platform that provides an "autonomy stack" for engineering teams, positioning itself as the industrial revolution for software development. It offers tools and frameworks (including an open-source component and specialized editions like Factory for Science) to help organizations build, ship, and operate AI-driven or autonomous software workflows at scale. Factory targets enterprise customers with security and compliance features and is marketed to engineering organizations and AI labs.

📋 Description

• Own the technical evaluation by leading full-cycle product evaluations, designing proofs of concept, and running pilots inside customer environments • Drive revenue and growth by turning successful pilots into broad adoption and identifying new use cases, teams, workflows, and workloads • Architect rollouts by helping customers integrate Factory into CI/CD, code review, testing, and deployment workflows • Design solutions for air-gapped and private deployments in regulated industries • Serve as the customer's technical voice by diagnosing friction, documenting product needs, and communicating feedback to product teams • Translate patterns across customers into actionable product feedback • Help enterprise engineering teams use Factory to ship code, review pull requests, run tests, and deploy continuously

🎯 Requirements

• 3-4+ years in a technical customer-facing role such as sales engineering, solutions engineering, developer advocacy, platform engineering, SRE, or similar • Experience partnering with an AE to support the customer lifecycle • Experience leading complex, technical enterprise deal cycles • Ability to build champions, multi-thread across technical stakeholders, and work across the organizational stack to drive buying decisions • Ability to read code, write scripts, debug integrations, and present to staff engineers • A CS degree or equivalent technical foundation is expected • Understanding of Git workflows, CI/CD pipelines, testing frameworks, and deployment strategies • Ability to travel up to 50%

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