Senior GEO Manager LLM Search Optimization

Make is the platform to manage all your automations and AI agents in one visual landscape for teams driving business impact without relying on developers. Part of Celonis a global leader in process intelligence recognized on the Forbes Cloud 100 for seven consecutive years were headquartered in Prague Czechia with hubs in Madrid Munich Raleigh and Pristina and teams across the UK France India and the Netherlands among other locations.

Youll build the strategy systems monitoring and content mechanics yourself and prove out what generative visibility is worth to a workflow-automation and AI-agent platform. Traditional organic SEO stays part of the job but its the floor not the ceiling.

What youll own

• GEO / AEO strategy build and run Makes approach to being cited (correctly favorably and often) across ChatGPT Perplexity Google AI Overviews and Claude.
• Citation monitoring stand up prompt-level tracking of where Make shows up where it doesnt and where competitors are winning the citation instead.
• Authority & source repair identify and close the gaps in the sources LLMs actually draw from (this includes unglamorous work like earning back reinstated high-trust reference sources).
• Entity-based content architecture work with the content team to restructure key topics into the clusters and schema that both traditional crawlers and LLM retrieval reward.
• Technical SEO own Core Web Vitals indexation structured data and site health well enough that its never the reason organic underperforms.
• Automated tooling build lightweight automation (scripts LLM APIs) to scale audits competitive tracking and reporting monthly.
• Insight to action translate visibility data into a short list of things the business should actually do differently not a dashboard nobody reads.

What you bring

• 5 years in SEO with the last 12 spent seriously engaging with how generative/AI search actually works: not just aware of GEO but already testing it.
• Comfortable being technical: schema/structured data crawl data and enough Python or scripting to build your own monitoring instead of waiting on engineering.
• A bias for evidence over opinion. Youd rather run a structured experiment on citation visibility than debate it in a meeting.
• Genuine comfort with ambiguity. GEO best practice is still being written; you should enjoy that not be waiting for a playbook.
• A business lens: you think in signups pipeline and share of voice - not just rankings and impressions.
• Fluent English.

Your toolkit

You dont need to have used every tool below but you should be fluent enough in this category of tooling to be productive fast.

• GEO / AI visibility Profound or equivalent LLM-citation tracking (or the instinct to build your own when off-the-shelf isnt enough).
• Core SEO SEMrush Ahrefs Screaming Frog Google Search Console.
• Analytics & data GA4 BigQuery and enough SQL to pull your own answers instead of waiting on a data team.
• Implementation structured data / and comfort working directly with engineering on crawl rendering and site architecture issues.
• Automation & AI Python (or similar scripting) plus LLM APIs (Claude OpenAI) to build monitoring and reporting that runs itself.

Nice to have

• Background in B2B SaaS or PLG ideally at a company selling into a technical or ops audience.
• Hands-on use of LLM APIs (Claude OpenAI) to build internal tooling not just as an end user.
• Familiarity with workflow automation iPaaS or AI agent tooling. You dont need to be a Make power user on day one but you should get why it matters.

Why this is a good fit

• You want to be the person who defines what GEO means for a company not the fifth hire executing someone elses playbook.
• Youd rather be judged on signups and pipeline influence than on ranking positions.
• You want to build your own tools rather than file a ticket and wait.
• Youre a strong believer that GEO is worth real investment.
• You prefer building the strategy and process yourself.

What We Offer

• RSUs grant in a rapidly growing company raising its value every day
• Annual bonus
• Multinational team with 42 nationalities creating the future of automation
• Learning & Development plan (online language professional courses conference tickets and other trainings) & 2 Company Learning Days per year
• 1 Company Impact Day per year
• Notebook/Macbook
• 25 days of vacation
• 10 care days to care for your loved ones
• Extra parental vacation (3-6 months)
• RSUs grant for a newborn child
• Life insurance
• Gympass
• Meal and transportation tickets medical insurance
• Team buildings parties and company events multiple times a year
• Flexible working hours home office

If you see a match let us know and apply now!

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