According to DeepLearning.AI's official Twitter account, the company is hiring a Developer Advocate to create clear, practical AI content for the global developer community. The role involves building hands-on demos, writing technical blog posts, engaging with developer communities, and collaborating closely with product and marketing teams to enhance the developer experience. This full-time, hybrid position in the Bay Area demonstrates DeepLearning.AI's commitment to supporting developers in adopting artificial intelligence technologies, strengthening AI education, and accelerating practical AI implementation across industries (source: DeepLearning.AI Twitter, Dec 18, 2025).

According to DeepLearningAI (@DeepLearningAI), the company is actively hiring for three key roles—Product Designer, Developer Advocate, and Account Executive—to accelerate the development of AI learning products and enterprise training programs (source: DeepLearningAI Twitter, Dec 16, 2025). The Product Designer will focus on creating user-centric, learner-facing workflows, enhancing the usability of AI educational tools. The Developer Advocate is tasked with producing technical content and demos to support AI developers, while the Account Executive will drive B2B enterprise training relationships, expanding DeepLearning.AI's corporate reach. All roles are full-time, hybrid positions based in the San Francisco Bay Area, reflecting the growing demand for practical AI skills and enterprise training solutions. This hiring push signals significant business opportunities in the AI education sector.

According to DeepLearningAI, DeepLearning.AI is recruiting a Product Designer to optimize user navigation and engagement on its AI education platform. The role involves researching learner workflows, prototyping interactive solutions, and designing user interfaces that streamline complex AI learning tasks. As stated by DeepLearning.AI, the position requires close collaboration with product and engineering teams and is offered as a hybrid opportunity in the Bay Area. This reflects the growing demand for user-centric design in AI education platforms, aiming to improve learner retention and practical engagement with artificial intelligence content (Source: DeepLearningAI on Twitter, Dec 11, 2025).