You will work directly with customers to help them realize value from the Domino platform while developing custom AI solutions for mission-critical business operations. You will also partner with experienced engineers to solve meaningful problems and enhance legacy workflows with AI capabilities.
You will work with a team of engineers to build and maintain a platform that powers data science solutions for large-scale organizations. Responsibilities include contributing to full-stack development, from backend services and APIs to frontend features and cloud integrations.
The intern will work directly with customers and internal teams to help realize value from the Domino platform. They will engage in coding, solution design, and supporting high-stakes environments across various industries.
The intern will contribute to building and maintaining the Domino data science platform by working on backend services, APIs, and frontend features. They will collaborate with experienced engineers to design, test, and deliver features that support real-world enterprise use cases.
You will establish and shape the Cloud Operations capability by creating standardized procedures for routine production changes. You will also partner with engineering teams to automate operational tasks and improve the reliability and observability of customer cloud environments.
The role involves serving as the technical owner of the Tempest scale and reliability platform to ensure system performance and reliability. You will diagnose and resolve performance bottlenecks while partnering with infrastructure teams to implement durable, data-driven fixes.
You will own technical support cases end-to-end for enterprise customers, triaging and resolving complex 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 IT Support Engineer will manage day-to-day IT systems, including Tier 1 and Tier 2 ticket resolution and global onboarding processes. They will also be responsible for administering identity providers and documenting best practices within the IT Knowledge Base.
You will guide life sciences organizations in leveraging the Domino platform by designing technical strategies, conducting proof-of-concepts, and building custom prototypes. You will also partner with account executives and customer success teams to ensure successful production deployments and identify new use cases.
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.
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.
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.
