"ai native engineering practices" Jobs
183 open tech roles matching “ai native engineering practices”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, AWS, Python. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 183 results
Lead a talented team of engineers to architect and deliver features that enhance the lives of legal professionals.
Lead a team of Delivery Solutions Architects to help innovative customers accelerate their journey on the Databricks Platform.
Lead customer success initiatives at DualEntry, driving ERP adoption and managing key customer relationships in a high-growth environment.
Join Cloudflare as a Lead Machine Learning Engineer to architect a scalable AI/ML platform in a hybrid role based in Austin.
Lead the Solutions function at Pylon, driving customer success and technical deployments in a growing B2B AI-native support platform.
Lead a regional team of MongoDB Support Engineers in Mexico City, focusing on AI-native support and customer satisfaction.
Lead the Experimentation team at LaunchDarkly, driving the development of a core product that enhances data-driven decision-making.
Lead the technical direction for patient-facing apps at a mission-driven virtual medical practice for women and children.
Lead a team of cloud infrastructure engineers to build a cutting-edge AI cloud platform in Amsterdam.
Lead a global team of Technical Support Engineers to enhance customer support experiences in a fast-growing AI security startup.
Lead the Customer Product Operations team at Doss, ensuring client success and driving product capabilities for upper mid-market and enterprise clients.
Lead the HR AI and Automation Operations team to streamline workflows and implement intelligent automation systems in a fully remote environment.
Lead the AI Decisioning lifecycle for Braze's customers in Japan, combining sales and post-sales responsibilities.
Lead the safety validation of scenarios for real-world robots at Atoms, focusing on safety-critical domains.