KIOXIA America
Director of Data Center SSD Product Management - 2244
San Jose, CA, United States · Director
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$1,000 more — $195,270 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $195,270 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Occupations, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- From the invention of flash memory to today's breakthrough BiCS FLASH™ 3D technology, KIOXIA continues to pioneer cutting-edge memory solutions and services that enrich people's lives and expand society's horizons.
- The company's innovative 3D flash memory technology, BiCS FLASH™, is shaping the future of storage in high-density applications, including advanced smartphones, PCs, SSDs, automotive and data centers.
Responsibilities
- Lead and mentor a high-performing team of product managers.
- Build strong partnerships across engineering, marketing, sales, operations, and support organizations to ensure successful product delivery.
- Drive alignment across global teams and foster a collaborative, execution-focused culture.
- Own the full product lifecycle from concept and requirements through development, launch, and end-of-life.
- Develop and maintain Landing zones and Market Requirements Documents (MRDs) that translate customer and market needs into product specifications.
- Work closely with Biz dev, sales, and field engineering to support complex sales cycles and major design wins.
- Oversee pre-sales technical support activities, including RFIs, RFQs, technical evaluations, and specification gap analysis.
- Develop account-specific strategies to grow wallet share and expand technology adoption.
- Develop and execute a comprehensive go-to-market strategy for the SSD product portfolio.
- Identify and drive new market opportunities, expanding presence across hyperscale, cloud, and data center segments.
Requirements
- Bachelor's degree in Engineering, Business, Marketing, or related field required
- 10+ years of experience in storage, SSD, NAND flash, or related data center infrastructure technologies
- Strong understanding of SSD architectures, NAND technologies, and storage system design
- Experience with cloud infrastructure, hyperscale data centers, NAS/SAN/object storage systems
- Familiarity with NVMe infrastructure and server/storage ecosystems
- Ability to translate complex technical trends into clear product strategies and differentiated features
Nice to have
- MBA or advanced technical degree preferred
Compensation
- $194k-$324k
Benefits
- Define and execute product strategy, roadmap, and long-term technical vision for next-generation SSD solutions.
Company info
- Cultivate strong relationships with strategic enterprise, hyperscale, and data center customers.
- Lead strategic engagements with hyperscalers and data center customers to identify growth opportunities and product requirements.
This listing is sourced directly from KIOXIA America's careers page and normalized into a canonical job model.