Top Tech Jobs & Startup Jobs

The Principal Software Engineer will lead the technical architecture of a healthcare software platform, ensuring compliance and quality while mentoring a team. Responsibilities include overseeing software stack integrity from embedded devices to cloud infrastructure and collaborating across functions to meet regulatory and product goals.

Lead risk modeling initiatives from data exploration to deployment, defining methodologies, advising clients, and integrating models into platforms.

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.

Lead product strategy and development for AI Simulation products, translating scientific needs into product requirements and ensuring market fit.

The Staff Technical Product Manager will drive product strategy and definition for AI solutions targeting life sciences, ensuring alignment across teams, validating product market fit, and leading product launch activities.

Lead high-touch onboarding and implementation of AISim solutions, design reference architectures and integration patterns, enable secure enterprise deployments, provide technical escalation and root-cause analysis, and feed product and engineering to improve operability and customer experience.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

Lead the development of a differentiable CFD framework for optimizing chemical reactor designs, involving scalable GPU engineering and numerical optimization. Collaborates with AI developers to validate and document simulations.

Lead customer onboarding and implementation of AI Simulation solutions, establish reference architectures, support technical escalations, and drive enterprise deployment best practices.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.