Top Tech Jobs & Startup Jobs

As a Cloud Backend Software Developer at Redis, you will design, develop, and enhance Redis Cloud features and infrastructure, collaborate with various teams, and ensure the system can support high performance and reliability for customer databases.

Join Redis's core AI team to research, design, and implement advancements for Large Language Models (LLMs), focusing on optimization for relevance, latency, and privacy. Responsibilities include model optimization, tool development, and addressing complex NLP problems. Ideal for a self-directed individual with expertise in machine learning models and NLP.

As a Senior AI Product Manager, you will define product vision and strategy, collaborate with stakeholders, manage the product lifecycle, and engage with customers to optimize Redis’ AI capabilities, particularly in inference caching and routing.

As a Solutions Architect, you will engage with customers to understand their business needs, demonstrate the value of Azure Redis Enterprise solutions, and provide technical guidance throughout the adoption process. You will also collaborate with sales teams to present solutions and feedback to product teams, ensuring alignment with customer requirements.

As a Sales Development Representative at Redis, you will generate interest in products through research and outbound activities. You'll engage potential customers and cultivate leads, manage KPIs, and collaborate with the sales team, all while learning and growing in the sales and marketing domain.

As a Senior Backend Software Engineer on the Redis AI API team, you will design and develop cloud services with AI-driven features, ensuring performance and scalability, while collaborating with various teams. This role requires extensive experience in backend development, cloud-native applications, and knowledge of AI technologies.

As a Principal/Staff Backend Software Engineer at Redis, you will design and develop cloud services integrating AI capabilities. Your role includes leading the development of AI features, ensuring performance and scalability, and experimenting with emerging AI technologies while collaborating across teams to influence the direction of Redis in the AI field.