Responsibilities

• Own launch execution across the AI portfolio — Manage the launch calendar, tiering framework, and cross-functional launch process for all AI product releases, coordinating inputs from technical PMM specialists into cohesive go-to-market moments.
• Drive campaign strategy and content — Partner with demand generation and field marketing to build campaign briefs, messaging frameworks, and content assets (web copy, ebooks, webinars, videos) that translate technical differentiation into buyer-relevant narratives.
• Serve as the commercial interface layer — Act as the single point of contact between the AI product marketing team and downstream marketing and sales functions, ensuring consistent messaging across every AI offering.
• Support field and partner enablement — Collaborate with the revenue enablement team to deliver launch-aligned sales assets, talk tracks, and competitive positioning for the AI portfolio.
• Coordinate with event marketing — Drive AI portfolio presence at flagship events, including product announcements, session content, and booth messaging.
• Measure and iterate — Track launch and campaign performance, gather field feedback, and continuously refine messaging and asset strategy based on what moves pipeline.

Requirements

• 2+ years of experience in product marketing, product management, or solutions engineering — ideally at an AI/ML platform company.
• A genuine, hands-on interest in AI infrastructure. You follow developments in LLM deployment, agentic frameworks, the Model Context Protocol, and AI governance, and can speak credibly to AI platform engineers without bluffing.
• A proven ability to translate complex technical concepts into crisp narratives that land with both technical practitioners and C-suite buyers.
• A track record of developing product launches, sales enablement materials, and competitive intelligence programs that move pipeline and accelerate deals.
• Highly collaborative — you thrive working across Product, Marketing, Sales, and Partner teams.
• Comfortable owning a stage: keynote presentations, analyst briefings, customer roundtables, and demo-heavy sessions energize you rather than intimidate you.
• Experience in open-source software, SaaS platforms, and enterprise go-to-market motions is strongly preferred.
• Familiarity with the AI connectivity landscape — including awareness of competing and complementary vendors across API gateways, AI observability, vector databases, iPaaS, and agentic orchestration frameworks — is a strong plus.