CloudFactory
1001 - 5000 employees
Founded 2010
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.
Director of Engineering
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CloudFactory
1001 - 5000 employees
Founded 2010
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.
📋 Description
• Define the product and engineering vision guiding software development priorities across all teams • Set the long-term technology vision and partner with business leadership on technology strategy • Monitor industry trends and identify disruptive technologies • Make final decisions on technology adoption and select the engineering technology stack • Define architectural principles and review high-level architecture decisions • Oversee software delivery across engineering teams and manage development timelines • Manage communication and collaboration with external technology providers and dependencies • Define quality standards and oversee testing tools, infrastructure, monitoring systems, and disaster recovery plans • Define security policies and compliance goals and manage the technology budget • Partner with legal and security teams on security and compliance • Lead, motivate, and develop engineering teams and leaders • Implement training, mentorship, and talent management initiatives • Build a future engineering talent pipeline • Define engineering metrics, monitor productivity trends, prioritize process improvements, and communicate process changes
🎯 Requirements
• Extensive software engineering experience, including significant experience leading engineering teams and departments • Proven track record setting technical vision and architectural principles across multiple teams or an entire engineering organization • Strong experience selecting and evaluating technology stacks and managing complex external technology dependencies and vendor relationships • Deep understanding of software quality, testing infrastructure, and monitoring practices at scale • Experience defining and managing security policies, compliance programs, and technology budgets • Strong people leadership skills and a track record building high-performing engineering teams and talent pipelines • Excellent stakeholder management skills with senior business leadership regarding product and technology timelines • Strategic mindset aligning technology decisions with business objectives • Bachelor's degree in Computer Science, Engineering, or a related field • 10+ years of progressive software engineering experience, including 3+ years in a senior engineering leadership role • Experience leading engineering teams in a global, distributed organization (preferred) • Experience with cloud-native and AI/ML-adjacent technology stacks (preferred) • Track record of scaling engineering teams and organizations through periods of high growth (preferred)
🏖️ Benefits
• Great Mission and Culture • Meaningful Work • Market competitive salary • Quarterly variable compensation • Hybrid Working Model • Comprehensive medical cover • Group life insurance • Personal development and growth opportunities
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