Senior Sales Engineer

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tintri

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

🔧 Hardware

☁️ SaaS

Hardware • Cloud Computing • SaaS

Tintri is a leading provider of data management solutions specifically designed for virtualized workloads. With a focus on simplifying IT operations, Tintri offers innovative cloud and on-premise storage platforms that optimize data management and enhance performance through automation and analytics. Their solutions are tailored for environments requiring efficient workload management, data protection, and visibility, making it easier for organizations to manage complex IT infrastructures effectively.

📋 Description

• Architect high-performance storage solutions for various industries • Partner with customers to understand their critical data challenges • Translate technical requirements into storage solutions • Act as a trusted technical advisor throughout the sales cycle • Architect storage for AI/ML training, HPC simulations, and data analytics • Design for reliability, resilience, security, and scale • Create BOMs, system architectures, and technical proposals for complex RFPs • Conduct live demos, POCs, and performance benchmarking • Stay current on AI infrastructure and storage technology trends • Collaborate with Product and Engineering teams using field insights • Mentor team members and contribute to technical thought leadership.

🎯 Requirements

• 3-8+ years in pre-sales, solutions architecture, or technical consulting • Proven track record designing storage/infrastructure solutions • Hands-on experience with enterprise storage systems • Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred) • Success managing complex technical sales cycles • Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems • Knowledge of architectural patterns for reliability, resilience, security, and scale • Understanding of storage and data protocols: S3, POSIX, NFS, SMB • Familiarity with network protocols: TCP/IP, InfiniBand, RDMA • Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler) • Aptitude for AI workloads and how storage enables AI innovation • Ability to communicate technical concepts to both engineers and executives • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience) • Exposure to storage/systems through coursework, internships, or projects • Strong analytical and problem-solving skills • Customer-facing communication skills.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events