Principal Product Manager

Comtrade 360, a member of the Comtrade Group, helps businesses stay ahead in an ever-evolving digital world. For more than 30 years, we’ve supported innovation and growth by delivering solutions for leading technology partners.

We are seeking a Principal Product Manager — AI Search, Metadata & Answer Readiness to lead the product strategy, roadmap, and operating model for AI-ready content, enterprise metadata, SEO/AEO, AI search, and answer-readiness capabilities across the customer self-service and digital support experiences.

This role will unify two critical disciplines:

• the content intelligence foundation required for metadata, taxonomy, ontology, schema, governance, and lifecycle quality; and
• the discovery and answer activation layer required for SEO, Answer Engine Optimization, AI search, semantic retrieval, AI citation quality, and measurable self-service outcomes.

The role builds on the existing need to improve content availability, findability, quality, governance, AI readiness, search success, answer quality, self-service resolution, case deflection, and customer satisfaction.

The ideal candidate is a strategic, data-driven product leader who can operate at the intersection of product management, knowledge management, enterprise content, metadata architecture, customer self-service, AI search, analytics, and responsible AI. This person will partner across engineering, architecture, support, customer experience, marketing, legal, privacy, business units, and knowledge teams to deliver scalable capabilities that improve how the content is structured, discovered, trusted, cited, and reused by customers and AI systems.

What You’ll Do

Define the product vision and roadmap

• Lead the product vision, strategy, roadmap, and investment priorities for AI-ready content, metadata, SEO/AEO, AI search, and answer-readiness capabilities aligned to the customer experience and digital transformation goals.
• Translate customer needs, search behavior, AI-search trends, support journeys, and business priorities into scalable product requirements, delivery plans, adoption models, and measurable outcomes.
• Build a clear product operating model that connects metadata foundations, content governance, structured content, AI search, answer quality, and self-service business impact.

Establish the content intelligence foundation

• Define and scale metadata capabilities across taxonomy, ontology, content classification, schema standards, entity relationships, content quality, lifecycle governance, and digital preservation.
• Establish standards for structured content, metadata quality, taxonomy alignment, schema usage, content classification, and knowledge organization to improve content availability, accuracy, findability, and AI readiness.
• Partner with architecture, engineering, knowledge management, content teams, and business units to translate metadata and content intelligence strategy into platform requirements, releases, pilots, adoption plans, and measurable outcomes.

Lead SEO, AEO, and AI-search activation

• Define and drive SEO/AEO and AI-search product strategy to improve content visibility, answer quality, AI citation performance, customer self-solve, support deflection, satisfaction, and business impact.
• Establish an enterprise answer-readiness framework for the content, including structured metadata, taxonomy, schema, entity signals, governance, lifecycle management, and feedback loops.
• Lead experimentation with content formats, AI-enabled support experiences, search journeys, answer-first content patterns, and digital support experiences that help customers find accurate answers faster.

Advance AI-enabled support and retrieval experiences

• Improve semantic search, retrieval-augmented generation, AI-enabled support, and AI search experiences by strengthening content structure, metadata quality, content accuracy, findability, and governance.
• Partner with product, engineering, architecture, analytics, support, and KM teams to improve retrieval quality, answer relevance, citation quality, content grounding, and customer trust in AI-generated answers.
• Champion responsible AI, data privacy, security, compliance, data sovereignty, model grounding, and enterprise risk management across content and AI-search experiences.

Drive measurement, governance, and business impact

• Define and monitor KPIs such as search success, content quality, search visibility, answer quality, AI citation performance, customer self-solve, self-service resolution, case deflection, customer satisfaction, AI readiness, and operational efficiency.
• Lead market research, stakeholder discovery, vendor evaluations, pilots, business cases, and make-versus-buy recommendations for metadata, AI search, content intelligence, and answer-readiness capabilities.
• Build executive-ready narratives, investment recommendations, and roadmap trade-off decisions that connect content intelligence and AI search to customer outcomes and business value.

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, Business, Information Management, or a related field; MBA or advanced degree preferred.
• 10+ years of product management experience, including experience in AI, enterprise software, enterprise search, knowledge management, content platforms, metadata, digital support, or customer self-service solutions.
• Proven experience defining product strategy, product vision, roadmaps, prioritization models, business cases, requirements, and measurable outcomes for complex enterprise product initiatives.
• Demonstrated ability to lead global, cross-functional initiatives in complex enterprise environments requiring collaboration, ambiguity management, executive communication, and influence without authority.
• Working knowledge of generative AI, large language models, retrieval-augmented generation, semantic search, AI search, and AI-enabled content or support experiences.
• Experience with content lifecycle management, support portals, knowledge management systems, metadata models, taxonomy, ontology, structured content, schema, content governance, or enterprise content operations.
• Strong analytical skills with the ability to define KPIs, interpret performance data, identify content and search quality gaps, and use insights to inform product prioritization and roadmap decisions.
• Excellent communication, executive storytelling, stakeholder management, and decision-framing skills, with the ability to influence technical, non-technical, executive, and senior leadership audiences.

Preferred Experience

• Experience defining metadata models, taxonomies, ontologies, content schemas, entity relationships, governance standards, or enterprise knowledge structures.
• Experience with SEO, AEO, GEO, AI search, content intelligence, entity optimization, semantic search, vector search, knowledge graphs, or AI evaluation in enterprise support or knowledge environments.
• Familiarity with responsible AI, privacy, data sovereignty, model grounding, compliance, and enterprise risk management.
• Experience leading vendor evaluations, pilots, business cases, make-versus-buy recommendations, and platform capability assessments.
• Experience improving customer self-service, digital support journeys, case deflection, search relevance, content quality, AI answer quality, or support portal outcomes.

What we offer:

• Professional environment in a technologically advanced organization.
• Opportunities for further professional training and certification.
• High level of autonomy and ownership
• Flexible working hours and hybrid work model