Search the 15 jobs at Dynamo AI

The Technical Product Manager at Dynamo AI will manage the product lifecycle, from vision to launch, focusing on developing new features for AI solutions. Responsibilities include understanding customer needs, collaborating with engineering teams, and evaluating product performance based on user feedback.

The Solutions Engineering Senior Manager will build and lead the Sales Engineering team, drive technical sales strategies, engage with customers to understand technical requirements, and ensure alignment between product development and customer needs. They will also identify opportunities for continuous improvement within the sales process.

As a Software Engineer in Testing at Dynamo AI, you will lead the QA process and develop automated testing frameworks for APIs and UIs. Your role involves collaborating with the engineering and DevOps teams to enhance the reliability of AI-driven solutions through innovative testing methodologies.

The Senior Accountant will manage day-to-day financial operations, ensuring accuracy, compliance, and efficiency. Responsibilities include handling accounting operations, preparing financial statements, coordinating tax filings, and supporting budgeting activities while collaborating with other departments. This role involves a focus on quality control of financial transactions and reporting.

Join Dynamo AI as an ML Research Scientist focusing on the safety of LLMs. You'll spearhead research on safe and responsible models, develop novel techniques, lead projects from inception to deployment, and collaborate with various teams, all while contributing to scientific literature. Your findings will directly impact Fortune 500 companies adopting LLM technologies.

The People Operations Manager will oversee HR functions, promote a positive workforce culture, ensure compliance with global employment laws, develop policies, manage global talent acquisition, and support the organization's international expansion.

The ML Research Engineer at Dynamo AI will focus on LLM safety by owning a specific vertical, generating synthetic data, training LLMs, conducting benchmarking, and developing production code. The role involves co-authoring research output and adapting to rapid changes in the AI landscape.

The ML Engineer will be responsible for managing an ML privacy vertical, collaborating with the engineering team on real-world applications, and generating synthetic training data for LLMs. They will conduct rigorous evaluation and benchmarking to ensure privacy preservation in ML systems.

The Machine Learning Engineer will design, develop, and maintain ML code for products focused on LLM safety. Responsibilities include implementing safety techniques, testing product features, and collaborating with various teams to enhance customer integration of LLMs.

The Head of AI Solutions will lead efforts to align Dynamo's AI capabilities with enterprise customer needs, creating effective strategies and communication materials. They will coordinate with various teams to ensure deliverables are met and maximize customer ROI.

The Customer Success Senior Manager will build and lead the Customer Success team, nurture client relationships, oversee onboarding and product adoption, develop retention strategies, manage performance metrics, and collaborate across functions to enhance customer experience.

The Senior Software Engineer will design and maintain Kubernetes-based infrastructure for deploying machine learning models. Responsibilities include ensuring performance and reliability, owning infrastructure quality, and developing automated testing frameworks and CI/CD pipelines.

The Senior Software Engineer will lead the design and architecture of user-centric interfaces to enhance user experience across the platform. Responsibilities include developing and optimizing responsive UIs using TypeScript and React, collaborating with teams, translating design mockups, and mentoring junior engineers.

As a Senior DevOps Engineer at Dynamo AI, you'll manage production environments, build CI/CD pipelines, optimize AWS infrastructure, maintain Kubernetes clusters, and implement monitoring systems. You'll also ensure security compliance and manage infrastructure costs while collaborating closely with software development teams to meet their needs.

The Lead Software Engineer will spearhead the design, development, and deployment of high-performance ML services on the cloud, collaborating with ML and product teams to optimize AI solutions while ensuring reliability and compliance. The role involves direct customer engagement to deliver tailored solutions and establish thought leadership in AI safety.