
51 - 200 employees
Founded 1937
👥 B2C
🛍️ eCommerce
🛒 Retail
B2C • eCommerce • Retail
Illumination Systems Arizona is a company based in Arizona currently preparing its online presence, as indicated by its 'Under Construction' webpage. Alongside this, the site provides related searches for services such as mortgage rates and vacation packages, suggesting a focus on consumer services in the local area.
🕒 June 4
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51 - 200 employees
Founded 1937
👥 B2C
🛍️ eCommerce
🛒 Retail
B2C • eCommerce • Retail
Illumination Systems Arizona is a company based in Arizona currently preparing its online presence, as indicated by its 'Under Construction' webpage. Alongside this, the site provides related searches for services such as mortgage rates and vacation packages, suggesting a focus on consumer services in the local area.
• Growth strategy for AI — where we play, who we sell to, how we win, and the sequencing of bets that gets us there • The customer and buyer motion — being in front of inference platform teams, data platform leads, and the buyers who decide • Positioning and narrative — partnering with Marketing on how the AI stories land in market • Field partnership — building the assets sellers actually use • Pricing and packaging — how AIStor and MemKV are sold • Competitive intelligence — knowing the AI training inference competitive landscape • Partner GTM for AI — the AI ecosystem is partner-heavy • Influence on the product — through customer signal, pipeline data, and competitive insight
• 8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers • Demonstrated fluency in modern AI and analytics stacks • A track record of working closely with field teams on real revenue • Partnership with marketing on crafting compelling narratives • Strong analytical instincts • The ability to write clearly and think rigorously in writing • Excellent partnership with engineering • Real comfort with pricing and packaging decisions • Background in storage, analytics, databases, or data infrastructure • If you have been an AI/ML Engineer with deep expertise in the data infrastructure stack we would love to talk to you • Experience with open-source-adjacent commercial products and the unique GTM motions they require • Prior experience at a high-growth infrastructure company
• Health Care Plan (Medical, Dental & Vision) • 401K with 3% Contribution • Pre-IPO Stock Options • At least 12 Public Holidays • Flexible Time Off
Apply Now🕒 June 4
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