Product Marketing Manager, Agentic AI

Cyara is a global leader in AI-powered customer experience assurance, helping enterprises deliver reliable interactions across voice, digital, messaging, and AI-powered channels. The Product Marketing Manager will own positioning, messaging, launches, competitive strategy, sales enablement, and technical content for Cyara’s Agentic AI and CX assurance product lines.

Responsibilities:

• Positioning and messaging for Agentic CX assurance. Write the narrative, defend it in front of sales and product, and update it when the market moves
• Launches. Own go-to-market for agentic AI releases end to end: launch tiering, enablement, content, analyst and press briefings, and post-launch measurement against pipeline targets
• Competitive positioning. Track the vendors showing up in our deals — pure-play AI evaluation tools, CCaaS-native testing, and manual QA teams — and give sellers a straight answer on where Cyara wins and where it does not
• Sales enablement. Build the pitch, the discovery questions, the objection handling, and the demo narrative. Sit in on calls and fix what is not landing
• Content that carries technical weight. Solution briefs, analyst submissions, webinars, launch blogs, and conference sessions on agentic AI assurance, LLM risk, and AI governance in CX
• Cross-functional partnership. Work daily with Product, Sales, Demand Gen, and Customer Success. Product marketing at Cyara is the connective tissue between what engineering builds and what a seller says on a call

Requirements:

• • 5+ years in B2B SaaS or AI product marketing
• • A track record of shipping launches that moved pipeline, with the numbers to show it
• • Writing and presentations that stands on its own. Concise, specific, no filler. We will ask for samples and we will read them closely
• • Comfort with technical buyers and technical product teams
• • Experience selling to enterprise accounts through a sales-led motion with long cycles and multiple stakeholders
• • AI Native, Agentic AI startup experience
• • CX or contact center background —conversational AI, NLU, or contact center operations
• • Experience in QA, testing, observability, or monitoring categories