NVIDIA

Senior Product Manager – Structured Data Query Engines

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: CaliforniaNew YorkUnited States

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Salary

💰 $168,000 - $258,750 per year

Job Level

About the role

  • Define, own, and drive the strategy enabling the world’s enterprises to adopt accelerated query engines powered by NVIDIA’s platform
  • Engage deeply with customers, ISVs, storage partners, and CSPs to find opportunities to improve their experience, owning the voice of the customer and incorporating insights into hardware and software roadmaps and priorities
  • Collaboratively develop and lead enterprise go-to-market motions, working with a cross-functional team on asset creation, market research, positioning, enablement, etc.
  • Track and act on important measures for adoption, engagement, and customer success to continuously improve our value proposition and developer experience
  • Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators

Requirements

  • BS or MS Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Engineering, etc.) or equivalent experience
  • 10+ years of product management experience (or similar) focused on data analytics technologies
  • Excellent balance of deep technical and business knowledge of the data analytics space
  • Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy
  • Track record of working closely with and activating partner ecosystems
  • Outstanding communication skills with demonstrated ability to articulate a value proposition to technical and non-technical audiences.
Benefits
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsproduct managementmarket researchuser researchengineering feasibilityproduct strategy
Soft Skills
communication skillscollaborationanalytical approachcustomer engagementcross-functional teamwork