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

Senior AI Product Manager

Key skills