Manager, Content Strategy & AI Visibility

Job Description

Renesas is seeking a Manager, Content Strategy & AI Visibility to lead how our products, technologies, and expertise are planned, structured, and surfaced across every place customers look for answers, including Renesas.com, partner and distribution ecosystems, AI-powered answer engines, and traditional search. As AI increasingly influences how engineers research, evaluate, and select semiconductor solutions, this role will ensure Renesas content is comprehensive, authoritative, and optimized to be discovered, understood, cited, and trusted wherever customers seek information.

This is both a strategic and people-leadership role. You will define and execute Renesas' global content strategy across web experiences, product content, blogs, videos, and other digital channels, ensuring customers can easily access the information they need throughout their journey. You will establish the vision, roadmap, governance model, and content standards that improve content quality, consistency, discoverability, and business impact across the Renesas global digital ecosystem.

The ideal candidate combines expertise in content strategy, SEO/GEO, content operations, and digital experience optimization. You understand that visibility is no longer defined solely by rankings and blue links, but by how effectively content is structured, connected, and surfaced across search engines, AI systems, partner ecosystems, and customer touchpoints.

Key Responsibilities

· AI visibility & discoverability strategy: Own the GEO and SEO strategy and roadmap, positioning Renesas as an authoritative, trusted source across AI-driven and traditional search experiences. Drive answer-first content architecture, entity optimization, and structured data initiatives that increase discoverability, strengthen authority signals, and ensure content can be accurately surfaced, cited, and trusted by search engines and AI systems.

· Content strategy: Define and evolve Renesas content strategy across product, technical, and marketing content, ensuring the information customers need is available throughout the buying and design journey. Establish content priorities, identify gaps, guide editorial roadmaps, and align content investments with business objectives, customer needs, and market opportunities.

· Content operations & governance: Establish scalable content intake, review, and governance processes that ensure content requirements, metadata, taxonomy, SEO/GEO considerations, and supporting assets are complete before work is handed off to web production and development teams. Drive consistency, quality, and operational efficiency across the content lifecycle.

· Team leadership: Lead and develop a team of content strategists responsible for content planning, governance, intake processes, and optimization initiatives. Establish priorities, drive execution, and foster a customer-centric, data-driven approach to content excellence.

· Information architecture & taxonomy: Define and evolve content architecture, taxonomy, metadata standards, and organizational frameworks that improve findability, scalability, consistency, and discoverability across web, search, AI, and partner ecosystems.

· Onsite search: Partner with the product team that owns onsite search to drive the content strategy behind it, monitoring onsite search behavior, identifying gaps, and maintaining the database of synonyms and rules to continually improve onsite SERP relevance and performance.

· Technical GEO/SEO: Work hand-in-hand with the product and development teams to implement and monitor technical GEO/SEO, establishing ongoing monitoring to catch issues early.

· Best practices & enablement: Serve as the internal authority on GEO and SEO best practices, educating marketers and both technical and non-technical stakeholders so new site features and content adhere to machine-readable, citation-worthy standards.

· Agency management: Manage our China search agency and other content, SEO, and digital experience partners, holding them accountable to clear goals, regional best practices, and measurable outcomes.

· Measurement & insights: Define the metrics that matter across content performance, customer engagement, discoverability, and AI visibility. Establish reporting frameworks that demonstrate business impact, identify optimization opportunities, and translate insights into actionable recommendations.

· Market awareness: Monitor platform changes, competitive activity, emerging tools, and shifts in search behavior to recommend strategic adjustments, bringing an experimentation mindset that tests new approaches and doubles down on what works.

· Cross-functional partnership: Act as the connective tissue across content, web, engineering, product, and executive stakeholders to communicate priorities, create shared touchpoints, and drive execution.

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