Redis, Inc.

Partner with Account Executives (AEs) to qualify opportunities, align on strategy/define technical win plans for customers; build cloud-native architectures AWS compute, non/relational storage, networking services (EC2, Lambda, API Gateway, S3, VPC, RDS, DynamoDB ; design/deploy distributed systems for real-time applications, analytics, event-driven processing (AWS Elasticache, ECS, Amazon Kinesis, SQS, SNS); develop/optimize Machine Learning (ML)/AI pipelines (Amazon SageMaker/Bedrock, Vector Database (Redis, Kendra, Pinecone) for feature storage, vector embeddings, real-time inference; conduct discovery sessions with customer stakeholders to understand business objectives, technical environments, pain points; design/present Redis Enterprise architectures; showcase how Redis meets scalability, performance, high-availability requirements; deliver product demonstrations/Proofs of Concept (POCs) to validate Redis solutions technically/commercially; act as customers trusted advisor, guide them through architecture design, migration planning, best practices adoption; translate customer requirements into detailed solution designs, sizing calculations, deployment models (cloud, hybrid, on-premises); collaborate with Professional Services/Technical Account Managers (TAMs) to ensure post-sale delivery readiness; develop reusable technical assets (presentations, demos, reference architectures, internal playbooks) to accelerate sales cycles; stay current with Redis product roadmap/ new feature capabilities to align customer solutions with latest offerings; coordinate with Consulting Managers/Engagement Managers to assess service feasibility/create implementation proposals; participate in High-5 post-sale handoffs with Customer Success/Professional Services teams; support account expansion initiatives by identifying upsell/cross-sell opportunities within existing customers; provide field feedback to product/engineering teams to influence roadmap priorities based on customers requirements; contribute to sales forecasting/pipeline reviews; ensure technical readiness aligns with sales objectives; and mentor junior Solution Architects by sharing best practices in discovery, demo storytelling, objection handling. This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Job Requirements: Bachelors degree or foreign equivalent in Computer Science, Software Engineering, or Computer Engineering plus 2 years experience. Experience to include building cloud-native architectures AWS compute, non/relational storage, networking services (EC2, Lambda, API Gateway, S3, VPC, RDS, DynamoDB ; designing/deploying distributed systems for real-time applications, analytics, event-driven processing (AWS Elasticache, ECS, Amazon Kinesis, SQS, SNS); and developing/optimizing ML/AI pipelines (Amazon SageMaker/Bedrock, Vector Database (Redis, Kendra, Pinecone) for feature storage, vector embeddings, real-time inference. This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Salary range from $85,093 to $144K per year. Apply online.