
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.
🕒 May 28
🇺🇸 United States – Remote
💵 $145k - $175k / year
⏰ Full Time
🟠 Senior
🔧 QA Engineer (Quality Assurance)
🦅 H1B Visa Sponsor
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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.
• Pick up the existing automation framework, extend it to under-covered surfaces, and harden it for a higher-velocity merge environment • Push automated coverage on critical paths (policy gates, audit trail, RBAC, lineage, data connectors) toward 100%, and hold the line as merge velocity climbs • Drive customer-reported defects on compliance-critical surfaces toward zero • Build an LLM-assisted test pipeline that matches AI-accelerated development with AI-accelerated testing • Make quality posture visible to leadership through a living risk and coverage map both teams own
• Owned a complex automation platform: end-to-end frameworks, CI systems, multi-stage automation • Kubernetes and cloud-native fluency at scale (AWS, Azure, and/or GCP) • Shipped compliance-critical software where audit trail, RBAC, or governance correctness affected customer audits (pharma, finance, govtech, healthtech, MLOps) • Senior-level influence across multiple teams without direct authority • Knowledge of cucu library is a plus
• equity • company bonus or sales commissions/bonuses • 401(k) plan • medical, dental, and vision benefits • wellness stipends
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