Ebay Product Manager - Workforce Employee Mgt 

Ireland, Dublin 

733558137

What you will accomplish:

• Define and drive the product roadmap for speech analytics, real-time agent assist, and QM solutions, with an emphasis on technical execution and business value.
• Partner closely with contact center leaders to understand user needs, compliance requirements, and operational workflows.
• Translate business problems into technical requirements, ensuring robust design, integrations, and performance across platforms.
• Lead platform configuration, data model alignment, and vendor collaboration for systems such as Genesys Cloud, CallMiner, and NICE.
• Lead vendor evaluations, contract renewals, and partnerships, ensuring alignment with internal requirements.
• Collaborate with data engineering and analytics teams to ensure speech/text data is actionable and reliable.
• Drive end-to-end solution delivery—from technical planning and integration through deployment and adoption.
• Supervise product performance, manage technical backlogs, and deliver regular updates to business and technical partners.

What you will bring:

• 6+ years of product management experience, with at least 3 years in a technical product role, focusing on contact center technologies such as Speech & Text Analytics and QM tools (e.g., Genesys Cloud, Cresta, NICE, CallMiner).
• Proven understanding of system integrations, APIs, data pipelines, and architecture, with proven track record to gather and translate business requirements into technical specifications.
• Familiarity with NLP, AI/ML concepts, and their application in customer service or voice interactions, along with experience in enterprise SaaS, cloud contact center platforms, or workforce engagement solutions.
• Proficient in SQL, JSON, and data visualisation/reporting tools, comfortable working with various data formats to support analytical needs.
• Excellent communication and partner engagement skills, adept at collaborating across teams to drive product success.
• Experience with Voice of Customer and real time agent assist tools, with a familiarity in AI/ML-powered solutions for improving customer support experiences.