Corporate Solution Architect

Redis

2d • Remote

About The Position

We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
What You Will Do?

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.

Requirements

• Bachelor’s 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level