Product Marketing Manager, Agentic AI
Ireland, England, United Kingdom · Full Time
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- Experience
- 5+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 6 days ago
- Work mode
- In office
- Resume
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Job description
About the Role
This opportunity is offered through a partner company based in Ireland, seeking a Product Marketing Manager specializing in Agentic AI. The role focuses on shaping how enterprise clients perceive, assess, and adopt AI assurance products. As the Product Marketing Manager, you will own the crafting of positioning, messaging, product launches, competitive strategies, and sales support for primary product lines designed to help organizations implement AI agents with enhanced transparency, oversight, and confidence.
Key Responsibilities
- Develop and continually refine positioning and messaging strategies for agentic AI and customer experience assurance, adapting narratives as market needs evolve.
- Lead go-to-market launches for agentic AI products, covering launch planning, sales enablement, content creation, analyst and media briefings, and performance tracking relative to pipeline goals.
- Monitor competitor solutions in fields such as AI evaluation, contact-center testing, and quality assurance, providing sales teams with clear competitive insights.
- Create resources to support sales, including pitches, discovery questions, objection handling tools, and demo scripts that clearly convey product benefits.
- Produce technical content such as solution briefs, analyst documents, webinars, and conference presentations addressing agentic AI assurance, LLM risks, AI governance, and customer experience themes.
- Collaborate closely with Product, Sales, Demand Generation, and Customer Success teams to align product development with market needs and commercial execution.
- Collect market feedback by engaging in customer and sales discussions to identify and resolve messaging gaps and ensure materials address buyer concerns.
Qualifications and Experience
- Minimum of 5 years in product marketing within B2B SaaS or AI-centric products, preferably in technically complex settings.
- Proven track record in managing product launches that drove measurable growth in sales pipeline, supported by quantitative success indicators.
- Excellent written and verbal communication skills capable of simplifying complex technical concepts clearly and succinctly without jargon.
- Comfortable engaging with technical product teams and technical buyers, demonstrating strong technical understanding.
- Experience supporting enterprise sales processes involving lengthy sales cycles and multiple stakeholders.
- Previous work in AI-native or agentic AI domains is highly desirable.
- Familiarity with customer experience or contact center technologies such as conversational AI and natural language understanding is a plus.
- Background in related areas like quality assurance, testing, or monitoring technologies offers additional advantage.
- Ability to work effectively across various functional teams in a fast-paced environment.
- Possesses a commercial mindset, understanding how marketing elements drive customer engagement and pipeline growth.
Benefits
- Competitive salary aligned to role responsibilities.
- Flexible work options accommodating different employee preferences.
- Comprehensive benefits package supporting overall employee well-being.
- Opportunities for professional growth and meaningful challenges.
- Collaboration with a diverse, international team.
- Formal recognition programs celebrating employee achievements.
- An inclusive workplace culture emphasizing diversity, equity, inclusion, and belonging.
- Chance to impact the emerging AI assurance market by shaping enterprise AI deployment strategies.
- Close collaboration with cross-functional teams on critical projects.
Additional Information
This position is managed by a partnering company that handles all applications and subsequent recruitment stages. The hiring process uses an AI-driven matching system to fairly and efficiently shortlist top candidates based on core requirements. Final interview and selection decisions are by the employer's internal team.
Data privacy is respected following applicable laws, including GDPR, and AI tools assist in application reviews without replacing human judgment.