SEO/GEO Marketing Manager job opportunity at Datasite.

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DateMore Than 30 Days Ago bot
Datasite SEO/GEO Marketing Manager
Experience: 8-years
Pattern: full-time
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degreeAssociate
loacation USA - MN - Minneapolis, United States Of America
loacation USA - MN - Min..........United States Of America

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth.   Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.   Get started now, we look forward to meeting you. . Job Description: We are seeking a forward-thinking SEO/GEO Marketing Manager to lead our SEO, GEO, AEO, and digital content efforts across global markets. This role goes beyond traditional organic growth strategies to include visibility across emerging platforms such as Large Language Models (LLMs) like ChatGPT, ensuring Datasite is not just ranked, but referenced, as a trusted leader in M&A workflow technology. You will develop a dual-focus strategy: optimizing for search engines (Google, Bing, etc.) and optimizing for AI-driven answer engines and conversational platforms. You will be hands-on in enhancing our digital presence through technical SEO, geo-targeted tactics, LLM content structuring, and direct content creation. This role requires someone who combines analytical rigor, strategic foresight, and strong content skills to help Datasite own the organic demand space.  Responsibilities   SEO, GEO, AEO strategy : Develop and execute an integrated organic strategy encompassing traditional SEO and international GEO, and AEO strategies to improve visibility in AI assistants and LLMs. Identify high-value niche queries for M&A professionals that may surface in both search and conversational AI interactions.  Content creation & structuring for LLM recognition : Create and optimize content (web copy, articles, resources, FAQs) that aligns with structured knowledge formats favored by LLMs, such as Q&A formatting, schema markup, and authoritative source content. Ensure content is technically structured to increase likelihood of AI citation.  Technical SEO & AI readiness : Partner with the Web Development Manager to deploy structured data markup (FAQ schema, HowTo schema, knowledge graph metadata), ensure site crawlers and LLM scrapers can access content effectively, and implement long-term AI readiness improvements (embedding strategy, no-login/public access guidelines where appropriate).  Keyword, entity & intent mapping : Conduct SEO and entity-based keyword research, mapping key topics, entities, and semantic signal opportunities across both search engines and LLM models. Develop content around high-value attributes such as “Datasite for M&A diligence,” “virtual data room best practices,” “AI in dealmaking,” etc.  Geo-targeted optimization : Lead GEO strategy across priority markets, ensuring localization practices (hreflang, regional content, localized AI prompts) support regional organic growth and LLM relevancy.  Performance analysis : Track organic search performance (rankings, CTR, traffic), LLM visibility metrics (e.g., referenced queries, position in AI response testing), and conversion KPIs. Use tools such as GA4, Search Console, SEMrush, and AI response benchmarking platforms.  Cross-functional collaboration : Work with content marketers, digital, product marketing, and thought leadership teams to align organic strategies with go-to-market priorities and significant content moments (e.g., Deal Drivers, product releases, expert content).  Stay ahead of AI trends : Proactively test Datasite visibility within AI assistants (ChatGPT, Gemini, Copilot, Perplexity), tracking improvements and leading experimentation. Educate the marketing team on AEO best practices and evolving AI trends in digital discovery.  Qualifications   Required: 8+ years  of digital marketing experience with deep expertise in SEO and organic growth strategy.  Proven track record in increasing organic traffic and conversion for B2B (ideally SaaS or technology).  Strong understanding of GEO optimization, structured data, and entity-based search tactics.  Experience designing or optimizing content specifically for AI/LLM discoverability or answer engines.  Strong content creation skills with the ability to write and edit high-quality pieces aligned to both user and machine-readable formats.  Analytical skills using GA4, Search Console, and SEO platforms (Ahrefs, SEMrush, etc.).  Technical understanding of HTML, metadata, and on-page optimization enough to brief developers.  Highly collaborative, hands-on mindset, capable of juggling strategic planning and execution.  Preferred   Experience with AEO and visibility strategies in LLM platforms (ChatGPT, Gemini, Copilot, Perplexity).  Background in M&A, financial technology, or transaction lifecycle content.  Familiarity with LLM prompt engineering concepts or entity-based UX optimization.  Understanding of content distribution strategies to feed AI knowledge (e.g., public knowledge graphs, structured publishing, AI indexing enablement).  Knowledge of CRO and high-intent conversion strategies for organic landing pages.  Certifications in SEO, analytics, or AI-related marketing methodologies.  Work Location & Flexibility This position can be located remotely however if the candidate is based in our Minneapolis  or New York City  locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week . Please note that specific business units or role requirements may necessitate additional in-office days  based on team collaboration needs or operational priorities. The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time . $99,000.00 - $172,700.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

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