Product Marketing Manager, Agentic AI

Accountabilities: Positioning and messaging: Develop and continuously refine positioning and messaging for agentic AI and customer experience assurance, ensuring narratives remain relevant as the market evolves. Go-to-market launches: Lead launches for agentic AI product releases, including launch tiering, sales enablement, content development, analyst and media briefings, and post-launch measurement against pipeline objectives. Competitive strategy: Monitor competing solutions across AI evaluation, contact-center testing, quality assurance, and related categories, providing clear guidance to sales teams on competitive strengths, limitations, and differentiation. Sales enablement: Develop sales pitches, discovery questions, objection-handling materials, demo narratives, and other resources that help sellers communicate product value effectively. Technical content: Create high-quality solution briefs, analyst submissions, webinars, launch content, and conference presentations covering agentic AI assurance, LLM risk, AI governance, and customer experience. Cross-functional collaboration: Partner closely with Product, Sales, Demand Generation, and Customer Success to connect product development with customer needs, market positioning, and commercial execution. Market feedback: Participate in customer and sales conversations to identify messaging gaps, improve positioning, and ensure marketing materials address real-world buyer concerns. Requirements: Product marketing experience: 5+ years of experience in B2B SaaS or AI-focused product marketing, ideally within a technically complex environment. Launch experience: Demonstrated success managing product launches that contributed to measurable pipeline growth, with the ability to communicate outcomes using concrete metrics. Strong communication: Exceptional writing and presentation skills, with the ability to communicate complex concepts concisely, specifically, and without unnecessary jargon. Technical fluency: Comfortable working with technical product teams and communicating with technical buyers. Enterprise sales experience: Experience supporting enterprise sales motions involving long sales cycles, complex buying processes, and multiple stakeholders. AI expertise: Experience in AI-native or agentic AI environments is highly valued. Customer experience knowledge: Background in customer experience or contact-center technologies, including conversational AI, natural language understanding, or contact-center operations, is a strong advantage. Relevant category experience: Experience in quality assurance, testing, observability, monitoring, or related technology categories is beneficial. Collaboration: Ability to work effectively across product, sales, demand generation, customer success, and other teams in a fast-paced environment. Commercial mindset: Strong understanding of how positioning, messaging, enablement, and launches contribute to customer engagement and pipeline generation. Benefits: Competitive compensation: Competitive pay aligned with the scope and responsibilities of the role. Flexible work: Flexible work options designed to support different working styles and needs. Comprehensive benefits: Access to a broad benefits package supporting employees’ overall well-being. Growth opportunities: A learning-focused environment with opportunities to develop professionally and take on meaningful challenges. Global collaboration: Work alongside talented colleagues across different regions and perspectives. Recognition: Recognition programs that celebrate contributions and achievements. Inclusive culture: A workplace committed to diversity, equity, inclusion, and belonging, where employees are encouraged to contribute their perspectives. Meaningful impact: The opportunity to help shape an emerging market around AI assurance and influence how enterprises deploy agentic AI with confidence. Collaborative environment: Work closely with product, sales, customer success, and marketing teams on high-impact initiatives.