San Francisco, CA
Enterprise AI platform for regulated industries
Domino builds an enterprise AI platform that enables organizations to build, deploy, scale, and govern AI and machine learning applications. It serves large enterprises in regulated sectors such as life sciences, financial services, and public sector by providing MLOps, governance, and observability capabilities. The platform helps these customers operationalize AI at scale while meeting strict compliance, security, and audit requirements.
Lead development of AI-assisted reliability tooling, own incident response, improve observability and SLOs for Domino's SaaS platform. Requires deep SRE or platform engineering experience, fluency in Kubernetes/Linux/cloud/observability, and strong Python/Go software engineering skills.
Own end-to-end customer AI programs at Domino Data Lab for life sciences, from scoping and delivery leadership through adoption and expansion. Requires 3-5 years enterprise customer-facing experience, technical fluency in data science workflows, comfort with ambiguity, and ability to bridge strategy to execution.
Own end-to-end customer AI programs at Domino Data Lab from contract to expansion, directing delivery pods of Forward Deployed Engineers, driving adoption and growth while bridging strategy and execution. Requires 4-8 years enterprise customer-facing experience, technical fluency in modeling and architecture, and team leadership.
Lead technical execution for strategic F100 AI/ML deployments at Domino Data Lab. Design reference architectures, build integrations across the MLOps ecosystem, and partner on customer PoCs in regulated environments. Requires 5+ years production Kubernetes experience and enterprise customer ownership at CTO level.
Technical Product Manager owning AI governance, extensions framework, and ML lifecycle capabilities for regulated enterprise AI platforms. Requires 5+ years PM experience shipping to technical users, strong CS background, and enterprise customer ownership.
Build and deploy production-grade MLOps solutions for Life Sciences customers on the Domino platform. Serve as a trusted technical advisor, own customer engagements end-to-end, troubleshoot complex infrastructure, and translate field learnings into product improvements. Requires strong Python, Kubernetes, cloud, and ML deployment experience plus comfort in regulated environments.
Solutions Engineer supporting pre-sales technical evaluations, POCs, and solution architecture for Domino's AI/ML platform with U.S. public sector and defense customers. Requires active Secret clearance, public sector experience, Python/R proficiency, and knowledge of containers, govcloud platforms, and the AI lifecycle.
Staff Software Engineer building and scaling Domino's platform for multi-agent workflows, LLM inference infrastructure, and custom extensions. Requires deep backend/distributed systems experience plus familiarity with ML/AI workflows.
Own end-to-end production of high-impact executive events, Rev experiences, GTM kickoffs, and corporate gifting to deepen customer relationships, build pipeline, and strengthen internal team cohesion at a leading AI/ML platform company. Requires 3+ years event production experience and taste for premium experiences.
Drive customer renewals, expansions, and migrations to Domino Cloud for enterprise accounts. Leverage MLOps/AI expertise for consultative conversations, identify upsell opportunities, and partner with sales to ensure retention and growth while managing a portfolio of ~10 accounts.
Lead a small Quality Engineering team in owning and modernizing CI/CD pipelines, driving test automation with AI tools, standardizing QE practices across engineering, and shifting quality left to prevent defects. Requires deep CI/CD and test automation expertise plus prior mentoring experience.
Senior Quality Engineer responsible for extending automation frameworks, achieving near-100% test coverage on critical compliance paths, building LLM-assisted testing pipelines, and driving customer defects to zero in a high-velocity MLOps environment. Requires ownership of complex automation platforms, cloud-native expertise, and experience with audit-critical software.
Enterprise Account Executive selling Domino's data science and AI/ML platform into Life Sciences accounts. Responsible for building executive relationships, generating pipeline, closing multi-million dollar software deals, and hitting $2.5M+ ARR targets.
Staff Software Engineer building and enhancing the Governance feature in Domino's open-source data science platform. Requires 5+ years backend experience with distributed systems (Hadoop, Spark, Kafka), strong proficiency in Scala/Go, API design, cloud technologies, and system architecture.
Pre-sales technical role leading evaluations, POCs, and solution architecture for Domino's AI/ML platform with enterprise customers. Requires proven pre-sales engineering experience, Python/R/ML proficiency, and knowledge of containers, cloud, and complex IT environments.