SEO and Content Optimization Manager at Boston Scientific Maple Grove, MN

kozmetickesluzby.vecnakraska.sk - Jobboard; Maple Grove (MN); Híbrido; USD 82.600 - 156.900; Jornada completa

Descripción de la vacante

Boston Scientific in Maple Grove, MN, is seeking an SEO and Content Optimization Manager to lead on-page SEO and content strategies while leveraging emerging AI technologies. This hybrid role requires expertise in SEO tools and a solid understanding of technical SEO principles.

The ideal candidate will have a Bachelor's degree, 3+ years of SEO experience, and a track record of implementing successful strategies in regulated industries. This position includes a competitive salary range of $82,600 - $156,900 annually.

Formación

• Minimum 3 years of hands-on experience in SEO and content marketing.
• Strong knowledge of technical SEO including site architecture and structured data.
• Demonstrated success in leading content strategies within regulated industries.

Responsabilidades

• Develop and execute on-page SEO strategies across global digital properties.
• Conduct keyword research, content optimization, and performance audits.
• Collaborate with teams to ensure optimal site structure and technical health.

Conocimientos

Technical SEO

Content Marketing

Analytical Skills

Keyword Research

Collaboration

Educación

Bachelor’s degree or equivalent

Herramientas

Semrush

Ahrefs

Google Analytics

Screaming Frog

Descripción del empleo

SEO and Content Optimization Manager at Boston Scientific, Maple Grove, MN.

Role Overview

This hybrid role leads on‑page SEO, content strategy, and emerging AI‑driven search optimization to drive brand visibility, engagement, and compliance.

Responsibilities

• Develop and execute on‑page SEO strategies across global digital properties.
• Conduct keyword research, content optimization, competitive benchmarking, and performance audits.
• Collaborate with developers, designers, and product teams to ensure optimal site structure, internal linking, and technical health.
• Experiment with AI‑powered search (ChatGPT, Copilot, Gemini) and implement AEO/GEO strategies.
• Evaluate and scale generative AI content tools such as Aprimo SmartActions, OpenAI, Copilot.
• Champion structured content, taxonomy, and modular frameworks for reuse, discovery, and localization.
• Maintain dashboards and analytics to track keyword performance, SEO quality, and GenAI impact.
• Translate complex technical concepts into accessible strategies for digital marketing teams.
• Define and report on new SEO and GenAI initiatives along with related KPIs.

Required Qualifications

• Bachelor’s degree or equivalent.
• Minimum 3 years of hands‑on experience in SEO and content marketing.
• Strong knowledge of technical SEO: site architecture, structured data/schema, hreflang, crawlability, Core Web Vitals, page speed, canonicalization.
• Proficiency with SEO tools: Semrush, Ahrefs, Moz, Siteimprove, Screaming Frog, Google Search Console, Google Analytics.
• Experience working with developers and UX teams to implement and resolve SEO improvements.
• Demonstrated success in supporting or leading content strategies within regulated industries and for global audiences.

Preferred Qualifications

• Experience in medtech, healthcare, or life sciences.
• Familiarity with structured content, modular frameworks, or content modeling.
• Understanding of data privacy laws such as GDPR, HIPAA, and their impact on SEO and content.

Employment Details

• Hybrid work model: in‑office at least three days per week.
• Relocation assistance not available.
• No sponsorship or visa support available.

Compensation

Base salary range: $82,600 - $156,900 annually.

Equal Employment Opportunity

Boston Scientific Corporation is an equal opportunity employer. All employees and applicants shall be treated fairly without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, disability, mental or physical disability, genetic information, or any other protected class.