| Location | Durham, NC |
| Salary | $175,000–$200,000 Per Year |
NetApp is looking for a Senior Competitive Intelligence Manager to serve as our lead hands-on strategist for competitive insights in the Data and AI space. This is a high-visibility, senior individual contributor role designed for a deeply technical and strategic marketer who loves getting into the weeds of competitor offerings. You will be the primary engine driving our competitive positioning, translating complex market and product data into real-world, deal-winning guidance for our global Sales teams. Partnering closely with Sales, Product Marketing, and Product Management, you will act as a subject matter expert to ensure NetApp's intelligent data infrastructure is advantageously positioned.
• Domain Expertise: Deep technical understanding of the technologies, architectures, and go-to-market strategies within the B2B Data, AI, and Cloud Infrastructure industries.
• Proven CI Execution: 5+ years of hands-on experience in competitive intelligence, technical product marketing, or sales engineering, with a proven track record of personally creating high-impact competitive content.
• Hands-on Tool Proficiency: Direct experience using and managing competitive intelligence platforms (e.g., Klue, Crayon) and conversational intelligence tools (e.g., Gong) to gather field insights.
• Strong Research & Synthesis Skills: Proven ability to independently dig through competitor documentation, financial filings, and analyst reports to extract actionable, validated insights.
• Sales Collaboration: High comfort level working directly alongside Field sales teams in active sales cycles, translating technical specs into "how-to-win" sales talk-tracks.
• Execution-Oriented: A self-starter who thrives on detailed execution, with the ability to own projects end-to-end without administrative oversight or direct reports.
• Superior Communication: Outstanding oral and written communication skills, with the ability to present complex technical findings clearly to both technical and non-technical stakeholders.
Education: Bachelor's degree in Computer Science, Engineering, Business, or a related field. MBA and/or a strong technical background in data management or AI/ML workloads is highly preferred. Equivalent combination of additional experience as stated above can be considered in place of academic degree listed.
Compensation: The target salary range for this position is $175,000-200,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package.