LT ZERO Asia Pacific

Role Description The Pre-Sales Solution Engineer (PSE) is integral to our pre-sales operations, providing technical solution selling, technical presentations, and solution design based on assessing technical and business requirements. This role is responsible for building and maintaining customer and partner relationships for long-term success, specifically focusing on the Quantum Portfolio & Products to address customer business challenges. The PSE must articulate the value and outcomes our solutions provide, aligning them with client needs and requirements. Additionally, this role involves ensuring application interoperability with third-party solutions, with a strong emphasis on AI-driven solutions and their integration into existing business processes. Job Duties and Responsibilities - AI Integration: - Leverage AI technologies to enhance solution designs, ensuring that AI capabilities are effectively integrated to meet customer business needs. - Provide technical expertise on AI-driven products, demonstrating how they can solve specific challenges and optimize operations. - Interpersonal and Communication Skills: - Exhibit excellent interpersonal skills, strong presentation abilities, effective listening, and superior written and verbal communication. - Explain complex AI concepts to non-technical audiences. - Technical Expertise: - Use in-depth product knowledge to provide technical expertise to sales staff, partners, and customers. - Offer informal training support on AI technologies as needed. - Solution Presentations: - Deliver effective technical presentations on all aspects of our solutions, including features, functions, benefits, and interoperability with third-party products. - Customer Interaction: - Respond to technical questions from prospective and existing customers, as well as the Quantum Sales Team. - Requirements Analysis: - Identify and document customer functional and non-functional requirements for detailed system design. - Solution Design: - Translate technical and business requirements into clear architecture and solution design documents. - End-to-End Solutions: - Provide comprehensive solution and design details, acting as a product SME to help identify and qualify business opportunities. - Project Coordination: - Collaborate with internal and external technical resources, project managers, and product managers to develop proof of concept or implementation solution plans. - Sales Support: - Assist in closing business by securing technical recommendations through solution presentations, demonstrations, and evaluations. - RFP/RFI Responses: - Provide technical input and support to the Sales Team when responding to large RFIs or RFPs. - Consultative Approach: - Work with the Sales Team using a consultative approach to identify customer business needs and develop enterprise solutions. - Sales Team Collaboration: - Function as an active member of the Quantum Sales Team, overcoming technical barriers to sales. - Participate in periodic sales funnel reviews. - Maintain up-to-date customer technical information in Salesforce. Qualifications - Mastery of the consultative sales process, with pre-sales design and implementation expertise in complex shared storage environments, including AI integration. - Strong skills in storage technologies (e.g., Filesystems: S3, NFS, Technologies: Cloud, NAS, SAN, DAS, OSD, Software Defined Storage). - Strong knowledge of AI hardware solutions across all aspects of an AI driven portfolio and solution set. - Strong knowledge of media and entertainment workflows, complex broadcast IT, post-production environments, and AI applications within these industries. - Understanding of market trends, particularly in AI, and the ability to identify associated solutions. - Strong written, oral, and presentation skills. - Strong project management skills, including evaluation, design, development, and analysis. - Understanding of IT governance frameworks, including corporate requirements, industry standards, regulatory environments, and risk and resource management. - Strong customer relations skills and a thorough understanding of the sales cycle, particularly in AI-driven sales scenarios. - Working knowledge of MAC, UNIX, LINUX, Windows, and AI/ML hardware/software certifications is a plus. - Ability to work independently and as part of a team. - Experience performing needs assessments, proofs of concept, particularly involving AI. - BS degree in Engineering or Computer Science preferred, or equivalent experience. - At least 8+ years in a senior pre-sales technical role, with demonstrated experience in Storage and associated AI technologies. Requirements - Ability to communicate, present, instruct, guide, negotiate, and coordinate tasks related to AI technologies and their implementation. - Ability to communicate, present, instruct, guide, negotiate, and coordinate tasks related to Enterprise Storage technologies. - Capable of creating collateral, presentations, documentation, and marketing material, particularly related to AI solutions. - Active participation in partner and channel development, especially with AI-focused partners. - Ability to work both independently and collaboratively within a team environment. - Consistently complete tasks on time with or without supervision. - Use logic and reasoning to identify strengths and weaknesses of alternative solutions and approaches. - Effectively communicate information and ideas, particularly those related to AI. - Analyze information and evaluate results effectively, with a focus on AI-driven solutions for data analysis. - Work collaboratively with product, pre-sales solution engineering, sales, and channel teams. - Proficient in using the full Microsoft Office suite, including Excel, Word, PowerPoint, and Teams. Benefits - Diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. - Support for team members’ efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. - Company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. - Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate. Travel Requirements - Expected Travel: 20-50% Anticipated Salary Range $200,000 to $220,000 for qualified applicants.

Role Description We are seeking a Director of Quality Assurance with deep expertise in global workforce management and enterprise storage validation. In this role, you will develop and implement the overall quality assurance strategy to ensure our storage products and services meet the highest standards of reliability and performance. You will lead a multi-disciplinary, global team, providing technical mentorship to QA managers while collaborating cross-functionally with development and product management to integrate quality into every stage of the product lifecycle. You will be responsible for aligning QA goals with business objectives and driving innovation in testing methodologies. Key Responsibilities - QA Strategy & Process Leadership - Develop and enforce comprehensive QA processes, standards, and methodologies across the organization. - Align QA initiatives with overall business goals, ensuring quality metrics drive product readiness and customer satisfaction. - Drive cross-team alignment to integrate quality assurance into the Agile product development lifecycle. - Test Automation & Engineering - Oversee the implementation of advanced testing strategies, prioritizing high-coverage automated testing over manual processes. - Architect and evolve end-to-end test frameworks for performance, correctness, data integrity, and security compliance. - Advocate for contract-first and test-first mentalities, ensuring robust validation of backend APIs and storage services. - Regression & Performance Validation - Own the technical direction for comprehensive regression testing to ensure stability across complex storage upgrades and maintenance cycles. - Lead Performance and Scalability initiatives to validate system behavior under high-density workloads, including IO latency and throughput metrics. - Ensure products maintain stability when visualizing or managing large-scale, real-time storage data involving thousands of nodes and volumes. - Issue Resolution & Technical Oversight - Investigate and resolve critical issues in existing products and new releases, utilizing deep knowledge of Linux I/O subsystems and networking. - Review architectural designs for testability, specifically focusing on storage protocols, clustering, and distributed systems. - Promote the use of AI tools or programming to optimize testing efficiency and predictive bug detection. - Global Team Mentorship - Provide leadership and career development support to a global team of QA managers and engineers. - Foster a collaborative environment for remote and distributed teams, emphasizing effective communication across technical and non-technical audiences. Qualifications - 15+ years of experience in quality engineering, including 8+ years leading QA teams in a high-tech engineering environment. - Experience managing QA and development engineers, and their careers in a dynamic and growing organization. - Demonstrated leadership in quality process transformation and automation maturity. - Experience testing enterprise storage systems and distributed backend services, with an emphasis on performance, scalability, and reliability. - Familiarity with complex infrastructure platforms like NAS, iSCSI, or Fibre Channel and distributed file systems. - Familiarity or experience testing Tape Library systems. - Strong hands-on experience with Linux operating systems, including installs, upgrades, and configuration management. - Proficiency with industry-standard collaboration and version control tools, including JIRA and GIT. - Strong communication skills with the ability to influence cross-functional stakeholders. - Deep experience with automation development using Python, Bash, and Git-based CI/CD environments. Preferred - Experience with containers and Kubernetes orchestration. - Familiarity with observability stacks (e.g., OpenTelemetry, Grafana, Prometheus) and system profiling tools. - Experience and a go-fast attitude with AI driven QA initiatives. - Ability to lead Agile project management throughout the organization. - In-depth knowledge of Linux I/O subsystems and high-performance networking. - Experience with testing tools for frameworks such as Robot Framework, Selenium, Pytest, Postman, JMeter, and containerized test environments with Docker, Jenkins, and OpenShift. Benefits - Diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. - Support for team members' efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. - Company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. - Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate. Anticipated Annual Salary Range $180,000 - $220,000 for qualified applicants. The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within or outside of the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations.

Quantum Corporation leads the world in helping users collaboratively solve some of the world's hardest computer challenges. Whether its wrangling Petabytes of data for cutting edge movie production, managing global content production workflows, exploring new sources of energy, or managing oceans of content and blending collaborative high-speed workflows with cutting-edge object storage, Quantum has the tools and technology to help you engineer the solution that works now - and preserves your work for decades to come. You are applying to an exceptional team that contributes to enhancing our position as a proven global expert in data management. Quantum is seeking an experienced Senior Director, L3 Support to lead escalation ownership, team performance, and cross-functional alignment across the Quantum product portfolio. This role is fundamentally about process leadership, people management, and operational excellence — not individual technical depth. The right candidate will build and leverage a strong team of product-aligned L3 engineers, establish and enforce consistent support processes, and serve as the primary connection point between Support, Engineering, and Product Management. This role is responsible for L3 support execution across all major Quantum product lines, including: - User Interface (UI) / Platform Services - DXi Backup & Deduplication Appliances - ActiveScale Object Storage - Primary Storage Products The Director, L3 Support leads a team of product-aligned L3 Support Leads / Principal L3 Engineers, with one senior L3 engineer owning each product line. The director's primary contribution is organizational, operational, and interpersonal — ensuring that technically deep engineers are well-directed, properly supported, and engaged on the right problems at the right time. Reporting directly to the Chief Product Officer, this role is a critical senior leadership function bridging customer experience, engineering execution, and product quality outcomes. Key Responsibilities: Escalation Ownership and Incident Management - Serve as the escalation authority and process owner for L3 support across all Quantum products, supporting L1/L2 support teams, development engineering, and enterprise customers. - Lead the organizational response to SEV1 and business-critical customer incidents — driving urgency, coordination, and clear communication rather than personal technical resolution. - Ensure consistent escalation standards, case ownership accountability, and resolution discipline across all product lines. - Keep all parties — customers, account teams, engineering, and executives — informed throughout high-pressure situations through structured, calm, and timely communication. - Know when to escalate to engineering and when to shield engineering from unnecessary interruptions; protect engineering focus while ensuring customers receive timely resolution. Cross-Functional Influence and Engineering Interface - Act as the primary L3 support interface to Engineering and Product Management. - Advocate for customer impact and support team needs within engineering prioritization discussions — influence without direct authority. - Drive defect isolation and documentation quality so engineering receives clean, actionable problem reports. - Negotiate priorities with Engineering and Sustaining teams to close support cases, calm customers, and drive RE resolutions in a timely manner. - Represent field trends, recurring issues, and systemic quality gaps to Product Management through structured feedback. Team Management and Development - Provide day-to-day direction and strategic oversight of the L3 support function — escalation intake, workload distribution, cross-product coordination, and team performance. - Hire, onboard, and develop L3 Support Leads and Principal Engineers; build a team with the technical depth the director does not need to personally possess. - Coach engineers and team leads to elevate their diagnostic skills, communication quality, and case management discipline. - Create a culture of accountability, continuous improvement, and customer-first problem solving. - Identify training needs, develop skills, and build bench strength for sustained team performance. - Represent the L3 Support function at the director level in cross-functional forums, executive briefings, and strategic planning discussions. Support Operations, Metrics, and Process Discipline - Define, track, and continuously improve the KPIs and SLAs that govern L3 support performance. - Manage case aging, escalation tracking, and SLA compliance across all product lines using tools including JIRA and Microsoft platforms. - Run structured status reviews, dashboards, and reporting cadences to maintain visibility for leadership and stakeholders. - Develop and enforce consistent L3 processes including escalation workflows, handover procedures (including time-zone transitions), and root cause analysis (RCA) practices. - Lead post-incident reviews and ensure learnings are captured and acted upon. Customer and Business Engagement - Engage directly with enterprise customers during critical escalations, providing calm senior leadership and clear communication throughout. - Support multi-product, large-scale customer environments across backup, object storage, and primary storage solutions. - Provide structured feedback to Product Management on customer pain points, field quality trends, and product improvement opportunities. AI-Augmented Leadership - Actively use AI tools (Copilot, ChatGPT, and similar) to bridge technical knowledge gaps, accelerate issue triage understanding, assist with communication and documentation, and improve team productivity. - Model and promote AI tool adoption within the L3 team as a force multiplier for both management and engineering workflows. - Use AI to stay current on relevant technical concepts and to prepare for and participate in technical discussions alongside engineering teams. Required Qualifications: - 15+ years of experience in enterprise support, technical operations, or customer-facing escalation management roles, with at least 3 years in a director-level or senior leadership capacity. - Proven track record of leading and developing technical support teams in enterprise environments. - Demonstrated excellence in escalation management and incident response — including Fortune 500 or enterprise-scale customer environments. - Strong ability to influence without authority across engineering, product, and sales organizations. - Proficiency in support operations tools including JIRA and Microsoft productivity platforms. - Solid understanding of KPIs, SLAs, case aging, and support metrics — with a track record of meeting or improving them. - Experience with cross-functional communication — keeping customers, account teams, engineering, and executives aligned during high-pressure situations. - Active and proficient user of AI tools (Copilot, ChatGPT, or equivalent) for bridging technical understanding, communication, and productivity. Preferred Qualifications: - Experience with enterprise storage, backup, data protection, or infrastructure software support environments. - Prior experience working in a smaller, startup-like engineering organization where structure and process needed to be built, not just followed. - Familiarity with agile development processes and how support integrates with engineering sprints and release cycles. - Experience managing distributed or remote support teams across time zones. - Track record of representing support functions at the executive level and influencing organizational strategy. Quantum provides a diverse portfolio of health plans for medical and prescription, dental, vision, life, disability and supplemental medical insurance options. We also support our team members' efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. Quantum offers a company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. We also have an Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate. Anticipated Annual Salary Range: $140,000 - $180,000 for qualified applicants. The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within or outside of the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As part of our North Americas sales team, the west-coast Regional Sales Manager - Enterprise Solutions Group (RSM ESG) will be responsible for identifying and closing business opportunities for assigned territory and accounts in their assigned Region, and fully executing against revenue targets. Our most successful sales people are able to position Quantum’s differentiators using a solutions-based approach that leverages our hardware, software and services products to solve customer business problems and needs. In addition to quickly establishing strong customer relationships and understanding our customer’s business, we expect the RSM will also build effective relationships internally with engineering, service, marketing, operations, etc. so our customer’s expectations are routinely exceeded. Job Duties - Actively pursue net-new business opportunities with aggressive prospecting into existing accounts and new business prospects; working closely with the Pre-Sales Engineers, Sales Management and Inside Sales Representative to ensure geography based objectives are being met. - Build strong relationships with existing and new Quantum Channel Partners and Technology Partners to help identify and close business. - The ability to speak with customers and partners at both a business-level and technical-level. - Understanding of AI/ML fundamentals and use cases for on-prem storage, from high performance NVMe flash to long-term archive. - With your extended team, prepare and present customer business reviews, workshops and other customer satisfaction sessions with your strategic customers. - Working knowledge of Block, File and Object Storage, as well as Data Archive. - Utilize consultative, solution based selling techniques to identify opportunities for Quantum’s portfolio including Enterprise NAS, object storage, backup appliances, LTO archives, as well as archive management software. - Deal management skills and attention to detail, in order to accurately forecast deals through SalesForce.com and participate in weekly funnel calls with management. - Manage all RFI, RFQ, and RFP processes. - Represent both the voice of the customer to Quantum and the voice of Quantum to the customer as required to resolve issues and attain revenue goals. - Act as a customer advocate to assist with escalating customer concerns and supply chain/technical issues until resolved. - Participate as required in business improvement initiatives. Qualifications - Consistent track record of exceeding quota and managing long-term business with large enterprise customers. - A minimum of 8 years of enterprise sales experience directly with end users, in the data storage, software or technology industry, is required. - A minimum of 5 years’ experience working in the data storage industry focused on selling storage solutions for high performance primary storage and nearline/archive use cases. - Consultative or solutions selling experience is a must. - Exceptional organization skills and time management techniques, with consistent attention to detail and follow-up. - Must have a dedicated home office space to conduct video-based meetings and expect to be on road/travel 25-50% every week. - Ability to motivate and inspire others. - Exemplary interpersonal and verbal communication skills, as well as presentation skills. - Individual must exhibit a positive, "can-do" attitude with excellent customer service skills. - Strong problem solving abilities. - A high degree of honesty, integrity and sound judgment. - Bachelor’s degree is preferred. Benefits - Diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. - Support for team members’ efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. - Company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. - Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate. - Anticipated Total Compensation Range: $160,000 to $300,000 for qualified applicants. - The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations.