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Principal AI Product Manager

Project Management Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Principal Experience
Full-time Employment

About this role

Role overview This principal product management role shapes the strategy and commercial direction of products for AI and analytics data infrastructure. You’ll connect customer needs, technical product choices, and revenue outcomes, working closely with engineering, marketing, sales, and ecosystem partners. The position calls for a leader who can discuss infrastructure credibly with technical teams and executives, and who treats go-to-market planning as part of product development.

Responsibilities - Set AI product growth strategy, including target customers, competitive positioning, and the sequence of investment bets. - Engage inference platform teams, data platform leaders, and decision-makers; support strategic deals and feed win/loss findings into product strategy. - Develop product positioning and market narratives with marketing, including external content and presentations. - Equip field teams with practical sales materials and support important customer conversations. - Own or guide pricing and packaging decisions as products and workloads grow. - Track competitors and partner opportunities, and bring customer, pipeline, and market evidence into product direction.

Requirements - At least eight years in product management, including three or more years with infrastructure, data, or AI/ML products sold to technical buyers. - Working knowledge of AI and analytics systems, including how training and inference use storage and the trade-offs involved. - Experience partnering with sales teams on customer deals and creating enablement that sellers use. - Strong analytical skills, clear writing, and the ability to communicate product narratives externally. - Credibility with engineering teams and sound judgment in making prioritization decisions.

Nice to have - Direct ownership of pricing and packaging. - Experience in storage, analytics, databases, or data infrastructure; AI/ML engineering experience with deep data infrastructure knowledge is also relevant. - Familiarity with commercial products connected to open-source projects or with high-growth infrastructure businesses.

Benefits and work setup - Medical, dental, and vision coverage; a retirement plan with a 3% employer contribution; stock options; at least 12 public holidays; and flexible time off.

Skills detected in the listing

Stakeholder Management
Detected Oct 29, 2026
Last verified Nov 5, 2026

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