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Establish and operate Domino’s Cloud Operations function across customer cloud environments. Build service catalogs, procedures, risk controls, verification and rollback paths; own recurring production changes; improve automation, tooling, documentation, and self-service; track operational performance; and partner with Platform Services, SRE, Support, and engineering teams to reduce friction and safely scale operations.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

Own enterprise technical support cases from triage through resolution, troubleshooting Kubernetes, cloud infrastructure, ML platform components, authentication, data connectivity, and model deployment. Create bug reports, collaborate with Product and Engineering, write knowledge-base documentation, coordinate global handoffs, conduct customer troubleshooting sessions, and participate in an EMEA weekend on-call rotation.

Own enterprise technical support cases from triage through resolution. Diagnose Kubernetes, Linux, cloud infrastructure, ML platform, authentication, data connectivity, and model deployment issues. Create actionable Jira bug reports, write knowledge-base documentation, coordinate global handoffs, conduct customer troubleshooting sessions, and participate in an EMEA weekend on-call rotation.

Provides Tier 1 and Tier 2 IT support, resolves tickets, manages Mac and Windows laptop provisioning, supports employee onboarding and offboarding, delivers IT training, administers Google Workspace and Okta access, and documents scalable IT processes. The role also supports identity management, endpoint management, knowledge-base development, and reliable day-to-day IT operations in a small global environment.

Designs and delivers technical demonstrations, proof-of-concepts, architectures, prototypes, and custom applications for life sciences customers. The role addresses drug discovery, clinical analytics, regulatory workflows, omics processing, governance, reproducibility, and validation requirements. It partners with account executives, Customer Success, and Solutions Architects to convert evaluations into production deployments while building reusable technical assets and identifying new customer use cases.

Build and deploy production-grade AI and MLOps solutions within public sector customer environments. Develop Python-based workflows, integrations, interactive applications, and model deployment and monitoring systems. Troubleshoot cloud, Kubernetes, networking, compute, and platform issues while advising data science teams. Own customer engagements, lead technical discovery and solutioning, create reusable deployment materials, and communicate feedback to SRE, Support, and Product teams.

Own enterprise technical support cases from triage through resolution across Kubernetes, cloud infrastructure, ML platforms, authentication, data connectivity, and model deployment. Diagnose issues, write actionable Jira bug reports, create knowledge-base documentation, coordinate global case handoffs, and communicate clearly with customers. The role includes live troubleshooting sessions and participation in an EMEA weekend on-call rotation.

Lead and scale pre-sales/solutions engineering as a function: set qualification and POC standards, coach SEs, enforce deal rigor, partner with sales leadership, recruit and operate pre-sales capacity and cadence for large enterprise AI deals.

The Account Executive will focus on selling Domino's platform to Life Sciences organizations, developing relationships with executives, and driving sales strategies to generate significant revenue.