You will own technical support cases end-to-end for enterprise customers, triaging issues across Kubernetes infrastructure and ML platform components. Additionally, you will contribute to the knowledge base and act as a customer advocate by filing detailed bug reports with the engineering team.
The Senior Director of Solutions Engineering will lead the pre-sales function by setting standards for opportunity qualification, POC scoping, and team engagement. They will also coach the engineering team and partner with account teams to manage complex enterprise deals.
You will build and maintain hardened release pipelines and automated vulnerability triage systems to ensure secure software delivery. This role involves developing infrastructure that meets strict compliance standards for regulated and air-gapped environments.
You will manage vulnerability risk assessments by triaging, validating, and prioritizing security findings across OS, container, and dependency surfaces. Additionally, you will maintain scanning pipelines and partner with engineering teams to ensure effective remediation of identified risks.
The analyst will manage inbound security and quality questionnaires while maintaining the compliance answer library and audit schedules. They will also oversee QMS operations, including training assignments and documentation, to ensure readiness for regulatory audits.
Own the end-to-end customer program from contract signature through expansion, directing delivery pods to ensure successful AI adoption. Bridge the gap between strategic intent and day-to-day delivery while converting field intelligence into product feedback.
Build and deploy production-grade AI workflows and MLOps solutions within highly regulated life sciences customer environments. Act as a technical advisor to stakeholders while translating field intelligence into product feedback for the Domino roadmap.
Lead technical evaluations and design proof-of-concept deployments for public sector customers, including the DoD and civilian agencies. Collaborate with account executives to create solution architectures that meet federal security and compliance standards.
Lead the development of AI-assisted reliability tooling and improve observability for critical customer-facing systems. Own end-to-end incident response and define SLO/SLI frameworks to scale cloud operations for a single-tenant SaaS offering.
The Account Executive will manage the full sales cycle for the Life Sciences vertical, focusing on building relationships with senior stakeholders and generating significant pipeline. They will align Domino's software solutions with customer data science initiatives to drive enterprise-level adoption and revenue growth.
Design and develop software solutions to enhance the user experience for the Governance feature. Collaborate with product managers and fellow engineers to ensure timely and high-quality delivery of solutions.
The Principal Product Manager will own the product capabilities that streamline the model development lifecycle, including developing, training, deploying, and monitoring AI systems. They will drive the strategy and vision for the 'AI Factory' to enhance the platform's capabilities for customers.
As a Customer Success Manager at Domino, you will maintain and grow relationships with clients, ensuring their needs are met and expectations exceeded. Your primary goal will be to maximize client satisfaction, retention, and revenue generation.
