Job Summary
As a Sales Specialist, you will be responsible for driving the adoption of NetApp's Intelligent Data Infrastructure Insights (DII) and Data Services (DS) portfolio among large Strategics customers in the Media & Entertainment space. You will lead the entire sales process-from identifying opportunities and engaging key decision makers to delivering compelling solution presentations and closing complex deals. Your focus will be on helping organizations modernize their data management and protection strategies, leveraging NetApp's innovative cloud and hybrid solutions to address critical business challenges and enable digital transformation. Success in this role requires a consultative approach, strong relationship-building skills, and the ability to collaborate across internal teams and external partners.
Location : Ideal candidate located in Detroit, Houston or Dallas, Texas or Central Time zone
Industries: Manufacturing and Auto
Job Responsibilities
Key Responsibilities
Sales Growth & Territory Management
Develop and execute a sales growth plan targeting large enterprise accounts.
Build and manage a robust sales pipeline for DII and DS solutions.
Deliver accurate revenue forecasts and meet sales targets.
Customer Engagement & Solution Selling
Lead customer meetings (remote and on-site), present NetApp's DII and DS solutions, and negotiate deals.
Use a consultative approach to understand customer business challenges and develop tailored proposals.
Manage proof of concepts, ROI development, and deal negotiations.
Partner Collaboration & Co-Sell
Collaborate with NetApp account teams and Partners to drive joint selling motions.
Engage with partners and internal teams to expand NetApp's footprint in enterprise accounts.
Cross-Functional Teamwork
Work closely with Sales Engineering, Product, Legal, Marketing, and Operations to support the sales process and ensure customer success.
Coordinate significant projects across functional groups.
Reporting & Enablement
Provide regular status updates to management, including pipeline and forecast information.
Identify and leverage customer references for reference selling.
Requirements & Education
8+ years of enterprise sales experience (Cloud, AI Ops, or Data Infrastructure), with a bachelor's degree; or equivalent experience.
Proven success managing complex sales cycles and closing large deals.
Strong understanding of infrastructure, hybrid cloud, and data protection technologies.
Experience collaborating with hyperscalers and strategic partners.
Excellent verbal and written communication, presentation, and negotiation skills.
Aptitude for understanding how technology solutions solve business problems.
The target salary range for this position is 287,300 - 371,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.
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We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
