Director, AI Product Management

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Illumination Systems Arizona

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Own growth strategy for MinIO's Data Intelligence products, including target markets, buyers, competitive positioning, and sequencing of strategic bets • Work with key partners to develop groundbreaking products • Engage inference platform teams, data platform leads, and executive buyers; join strategic deals and run the win/loss feedback loop • Partner with Marketing on product positioning, market narratives, and published content • Build sales assets, support strategic deals, and enable field teams to lead inference-buyer and lakehouse-buyer conversations • Define pricing and packaging for Data Intelligence products and determine how to capture value as workloads grow • Track AI training and inference competitive intelligence and shape differentiation • Develop partner go-to-market motions for AI • Influence product direction through customer signals, pipeline data, and competitive insight

🎯 Requirements

• 8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers • Fluency in modern AI and analytics stacks, including training and inference pipelines, storage tradeoffs, and data platform build/buy decisions • Track record of working closely with field teams on revenue, participating in deals, and building seller enablement • Experience partnering with marketing on compelling narratives and presenting at external conferences and webinars • Strong analytical instincts and data-driven hypothesis testing • Ability to write clearly and think rigorously in writing • Excellent partnership with engineering and technical credibility • Experience owning or co-owning pricing and packaging decisions is a plus