Head of SEO and AI Visibility

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of SEO and AI Visibility based in Germany.

This leadership role offers the opportunity to define and scale a global organic growth strategy within a fast-moving, product-led environment.

You will own the evolution of SEO beyond traditional search, expanding visibility across AI-driven discovery channels and large language model ecosystems.

The role combines strategic ownership, team leadership, experimentation, and hands-on execution to drive measurable business growth.

You will partner closely with marketing, product, engineering, and analytics teams to turn search opportunities into impactful initiatives.

Your work will directly influence qualified traffic growth, customer acquisition, brand visibility, and revenue generation.

This is an opportunity for an experienced SEO leader who thrives on innovation, data-driven decision-making, and building the future of digital discovery.

Accountabilities

The Head of SEO and AI Visibility will be responsible for shaping and executing a comprehensive global search strategy while driving innovation in AI-powered discovery.

The role requires a balance of strategic leadership, operational excellence, and close collaboration across teams to deliver sustainable organic growth.

• Own and execute the global SEO strategy across technical SEO, content, on-page optimization, and off-page initiatives to increase organic visibility, qualified traffic, and revenue impact.
• Lead, mentor, and develop a team of SEO specialists and external contributors by setting objectives, establishing processes, and fostering a culture of experimentation and continuous improvement.
• Define and prioritize the SEO roadmap based on business goals, including revenue growth, organic performance metrics, and AI visibility indicators such as citations, mentions, and brand presence in AI search.
• Drive initiatives to improve discoverability across AI search platforms and large language models by developing and implementing AI visibility optimization strategies.
• Partner with Product, Engineering, Marketing, and Analytics teams to ensure SEO priorities are integrated into product development and technical improvements.
• Establish a structured experimentation framework for SEO initiatives, including hypothesis creation, prioritization, testing, measurement, and reporting.
• Shape content strategies by identifying growth opportunities, optimizing content operations, improving templates, and managing refresh cycles based on search trends and user needs.
• Monitor SEO health through regular audits, KPI tracking, competitive analysis, and proactive risk management.
• Communicate performance insights, strategic recommendations, and resource needs to leadership teams through clear, data-driven reporting.

Requirements

The ideal candidate is an experienced SEO leader with strong technical expertise, analytical capabilities, and a passion for emerging search technologies.

You should be comfortable operating strategically while remaining hands-on with execution and experimentation.

• 6–10 years of SEO experience covering technical SEO, content strategy, on-page optimization, and off-page growth initiatives.
• Proven experience leading SEO teams, developing talent, and building high-performing processes.
• Strong background in product-led Saa S environments and international SEO programs.
• Demonstrated experience adapting SEO strategies for AI-driven discovery, LLM optimization, and evolving search behaviors.
• Deep understanding of technical SEO concepts including crawling, indexing, internal linking, information architecture, structured data, and performance optimization.
• Strong analytical mindset with experience using SEO tools such as Google Search Console, Ahrefs, and similar platforms.
• Ability to design experiments, analyze results, and make data-driven decisions in a fast-changing environment.
• Experience collaborating effectively with Product, Engineering, Marketing, and Data teams.
• Excellent communication skills with the ability to explain complex SEO concepts, align stakeholders, and influence decision-making.
• Ability to balance long-term strategy with tactical execution and adapt quickly based on changing market conditions.
• Experience with programmatic SEO, international growth strategies, and product-focused organic acquisition is highly valuable.

Benefits

• Opportunity to influence how millions of users discover and use digital productivity solutions.
• Fully remote working environment with flexibility to work from your preferred location.
• 30 vacation days to support rest and personal well-being.
• Sabbatical leave opportunities after two years with the team.
• Paid parental leave offering 16 weeks at full salary.
• Annual personal development budget of up to 2,000 CHF plus dedicated learning time.
• Access to internal knowledge sharing, coaching opportunities, and professional development resources.
• Collaborative culture focused on innovation, experimentation, and continuous improvement.
• Opportunities to participate in hack days and build impactful solutions with cross-functional teams.
• A flexible environment where ownership, creativity, and new ideas are encouraged.

How Jobgether works

We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

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