
201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Series F on 2022-06
Artificial Intelligence • Enterprise • SaaS
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $200k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Series F on 2022-06
Artificial Intelligence • Enterprise • SaaS
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
• Lead technical execution on strategic F100 deployments across multi-cloud, on-premises, and hybrid environments • Design end-to-end reference architectures spanning data, identity, security, and infrastructure for regulated environments • Build and document field integrations across the AI/ML ecosystem, including data platforms, model registries, and MLOps tooling • Enable the Solutions team on field integrations • Partner with account and sales engineering teams on scoping, custom demonstrations, and proofs of concept for customer AI use cases • Translate field observations into actionable Product and Engineering roadmap input
• 5+ years hands-on with Kubernetes in production, including upgrades, migrations, multi-region disaster recovery, and cluster management at scale • End-to-end enterprise Kubernetes implementations in cloud or on-premises environments • Direct experience owning strategic customer relationships at CTO or platform-lead level • Hands-on experience with at least one major cloud: AWS, Azure, or GCP • Ability to translate security and compliance requirements into auditable architectures • Hands-on AI/ML or data platform experience, especially in regulated environments, is a strong plus • OpenShift experience is a strong signal • Azure experience is a strong plus • Candidates of all backgrounds, genders, ethnicities, abilities, and sexual orientations are encouraged to apply
• Equity • Company bonus • 401(k) plan • Medical benefits • Dental benefits • Vision benefits • Wellness stipends • Teaching and learning environment • Diverse and inclusive workplace
Apply Now🔥 13 minutes ago
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