Tintri hiring Sales System Engineer • Remote (Work from Home) | Himalayas
TintriTI

Sales System Engineer

Tintri offers all-flash storage solutions tailored for virtualized workloads, enabling organizations to automate data management and enhance operational efficiency.

Tintri

Employee count: 201-500

United Kingdom only

Overview

DDN Storage is seeking great candidates to join our dynamic team of passionate customer-enabling technologists!

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high performance data storage innovation for over two decades. DDN Storage is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare, to financial services, autonomous cars, Government, academia, research and manufacturing

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC

“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - ~ Marc HamiltonVP, Solutions Architecture & Engineering | NVIDIA

DDN Storage is the global leader in AI and multi-cloud data management at scale. Our cutting-edge storage and data management solutions are designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN Storage empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

Job Description

Job Title:

We are currently seeking candidate for the position of Presales Engineer - Tintri

Job Description:

The Presales Engineer Tintri plays a critical role in the sales process, bridging the gap between technical expertise and customer needs. This role involves understanding customer requirements, presenting technical solutions, and demonstrating how Tintri products or services can meet those needs. The Presales Engineers in the Tintri Business Unite collaborate closely with Tintri sales and channel sales teams to drive revenue growth and build strong customer relationships.

Duties and Responsibilities:

  • Develop an in-depth understanding of Tintri products and services and stay up to date with industry trends and technologies.
  • Engage with potential clients to assess their technical requirements and business challenges.
  • Create and deliver compelling technical presentations, demonstrations, and proposals that showcase the value of the Tintri offerings.
  • Collaborate with the Tintri product development team to tailor solutions to meet specific customer needs, ensuring alignment with technical capabilities.
  • Provide pre-sales technical support, answering customer inquiries, and addressing concerns about product functionality and compatibility.
  • Train the sales teams and channel partners on the technical aspects of Tintri products and services, enabling them to effectively communicate benefits to customers.
  • Collaborate with customers to design and execute PoCs to validate the effectiveness of proposed solutions.
  • Prepare and maintain technical documentation, including proposals, case studies, and technical specifications.
  • Stay informed about competitors' offerings and market trends to effectively position the company's products or services.
  • Provide reporting and feedback on customer accounts and field activities to Sales, Product Management, and Engineering.
  • Assist in managing customer relationship post-sale, including strategy to close repeat business.

Skills, Qualifications and Experience

  • Proven experience in a technical role, such as software engineering, system administration, or technical support.
  • Good understanding of VMWare, Hyper-V and Containers (Docker, Kubernetes)
  • Knowledge of the storage industry (Pure, NetApp, Nutanix)
  • Basic understanding of Databases (SQL, Oracle)
  • Basic understanding of Backup software (Veeam, Commvault)
  • Strong problem-solving skills and the ability to translate complex technical concepts into clear, customer-friendly language.
  • Excellent communication and presentation skills, both written and verbal.
  • Customer-focused mindset with the ability to build and maintain strong customer relationships.
  • Familiarity with sales processes and the ability to work collaboratively with sales teams.
  • Willingness to travel for customer meetings or demonstrations.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United Kingdom +/- 0 hours

About Tintri

Learn more about Tintri and their company culture.

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Tintri provides all-flash storage and software solutions specifically built for virtualized workloads. The company replaces legacy storage solutions with advanced technology that automatically manages an organization’s applications, ensuring that databases, virtual desktops, and DevOps workloads perform flawlessly. Customers can plug Tintri into their infrastructures and walk away, benefiting from a solution designed to streamline operations and optimize performance.

With a focus on simplifying data management, Tintri aims to meet the increasing demand for scalable, easy-to-use solutions that can be deployed quickly. The company emphasizes machine-level visibility and synthesized analytics, which help organizations reduce storage management costs significantly. By leveraging autonomous operations combined with real-time insights, Tintri has changed the way organizations operate in complex data environments, allowing for faster development cycles and predictable scaling.

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