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Lead Product Manager, AI Storage Solutions

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Sandisk

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Location:
United States , Milpitas

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

194425.00 - 275414.00 USD / Year
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Job Description:

As a Lead Product Manager, AI Storage Solutions you will define the strategic vision, roadmap, and execution plan for next‑generation memory solutions that enable cutting‑edge AI, Machine Learning, and High‑Performance Computing ecosystems. You will serve as the connective tissue across engineering, marketing, operations, and hyperscale customers—driving competitive differentiation and business growth for high‑performance memory products.

Job Responsibility:

  • Define the strategic vision, roadmap, and execution plan for next‑generation memory solutions that enable cutting‑edge AI, Machine Learning, and High‑Performance Computing ecosystems
  • Serve as the connective tissue across engineering, marketing, operations, and hyperscale customers—driving competitive differentiation and business growth for high‑performance memory products
  • Own the multi‑year product roadmap, aligning with technology inflection points such as AI Storage Solutions, and emerging AI Storage Solutions architectures
  • Translate market dynamics, customer signals, and competitive insights into product requirements (MRD/PRD)
  • Lead deep technical engagements with hyperscalers and chipmakers (e.g., NVIDIA, AMD), turning customer performance, latency, and capacity needs into engineering deliverables
  • Position product solutions for AI inference, KV‑cache, and memory‑centric architectures informed by industry trends, inference context memory, KV‑tiering
  • Build business cases including TAM/SAM/SOM models, pricing strategies, investment requirements, and ROI modeling
  • Guide lifecycle execution from concept → development → through cross‑functional program reviews (Stage Gate)
  • Partner closely with ASIC, firmware, NAND, system, and quality teams to drive technical readiness and performance targets
  • Manage supplier relationships and work with supply chain to ensure cost, yield, and delivery success
  • Coordinate internal alignment with engineering, reliability, operations, and exec staff
  • Maintain a robust understanding of the semiconductor memory landscape—AI Storage Solutions competition, NAND‑AI Storage Solutions, emerging AI architectures, and customer platform roadmaps

Requirements:

  • Bachelor’s degree in Electrical Engineering, Computer Science, Engineering, or related field
  • Minimum of 8+ years of experience in product management
  • Minimum of 2 years experience in AI Architectures for datacenters or on-device
  • Strong desire to take ownership of the full product lifecycle
  • Proven track record of managing and launching successful emerging technology products
  • Deep understanding of flash memory technology and AI Storage Solutions, 3D stacking, TSV architectures. NAND-based high bandwidth architectures
  • Any knowledge of AI software stack will be a added advantage

Nice to have:

  • MBA preferred
  • Strong analytical and strategic thinking skills, with the ability to translate market trends into actionable product strategies
  • Excellent leadership and communication skills, with experience leading cross-functional teams
  • Experience presenting to senior level audiences
  • Any people management skills will be an added advantage
What we offer:
  • Short-Term Incentive (STI) Plan
  • Long-Term Incentive (LTI) program (restricted stock units (RSUs) or cash equivalents)
  • RSU awards for eligible new hires
  • Paid vacation time
  • Paid sick leave
  • Medical/dental/vision insurance
  • Life, accident and disability insurance
  • Tax-advantaged flexible spending and health savings accounts
  • Employee assistance program
  • Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
  • Tuition reimbursement
  • Transit
  • The Applause Program
  • Employee stock purchase plan
  • Sandisk's Savings 401(k) Plan

Additional Information:

Job Posted:
February 18, 2026

Expiration:
May 06, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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