
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.
🕒 6 days ago
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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.
• Partner with customers to resolve architecture, performance, recovery, security, and operational challenges • Serve as an expert resource on best practices for running Factory’s developer-centric platform • Represent customer needs to product management and engineering teams • Contribute to internal tools for performance benchmarking, diagnostics, automation, scalability, and operational excellence • Help shape deployment and operational playbooks • Collaborate with customer success, growth, and engineering teams • Design scalable processes and dashboards that drive data-informed decisions • Work closely with leadership and technical teams to support operational excellence as Factory scales
• Proficiency in one or more modern programming languages such as Python, Go, Java, C++, or JavaScript/Node.js • Experience administering large-scale production environments, including hardware, operating systems, networks (firewalls/load balancers), and cloud platforms such as AWS, Azure, or Google Cloud • Excellent written and verbal communication skills • Genuine desire to help people and advocate for customer success • Strong diagnostic instinct and ability to investigate and solve problems calmly and effectively in real time • Capacity to rapidly learn new technical skills and adapt to emerging technologies • Strong teamwork skills and sound judgment on when to seek help or collaborate • Experience with AI/ML or enterprise software, especially B2B SaaS, is nice to have • Prior startup or high-growth environment experience is nice to have • Familiarity with observability tools, automation frameworks, or CI/CD pipelines is nice to have • Basic coding or scripting abilities beyond a primary language are nice to have
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