Senior Solutions Architect (Pre-Sales) – Real-Time Data

Redis; United States; Remote; USD 150,000 - 188,000; Full time

Benefits offered by this job

401(k)

Unlimited time off

Learning and development opportunities

Health and wellness benefits

Stock options

Commuter benefits

Commission plan

Job summary

Redis, a leader in real-time data processing, is seeking a Solutions Architect to educate and collaborate with customers to create Redis-powered solutions. You will drive POCs, pilots, challenges and evaluations, working hands-on with our customers to ensure success.

The ideal candidate thrives on solving diverse technical challenges, aligns with customers’ business objectives, and enjoys turning insights into substantial value for complex data needs.

Qualifications

• 3+ years of experience in pre-sales engineering for enterprise software.
• Hands-on experience with server-side software development and Linux.
• Experience with scalable and highly available distributed systems.
• BS in Computer Science / BA or equivalent work experience.

Responsibilities

• Help customers meet technology and business requirements with Redis databases and solutions.
• Quantify and verify customer business needs and use cases.
• Collaborate with customer technical teams to ensure success of POCs and pilots.
• Work with Sales to develop account strategies and identify new opportunities.
• Present Redis capabilities in a professional way to demonstrate business impact and competitive advantages.
• Provide customer feedback to improve product materials and best practices.

Skills

Pre-sales engineering

Server-side development

Linux

Distributed systems

Communication & presentation

Education

BS in Computer Science / BA or equivalent

Job description

Redis, a leader in real-time data processing, is seeking a Solutions Architect to educate and collaborate with customers to create Redis-powered solutions. You will drive POCs, pilots, challenges and evaluations, working hands-on with our customers to ensure success.

The ideal candidate thrives on solving diverse technical challenges, aligns with customers’ business objectives, and enjoys turning insights into substantial value for complex data needs.