Lead SEO & AEO Strategist

About the role

Emberos exists to bring predictive intelligence and clarity to a world where AI is already shaping decisions. We help brands understand how AI interprets and represents them at the moment of discovery and how that understanding compounds over time. By revealing emerging patterns before assumptions harden into belief, we give leaders foresight into what is taking shape and the ability to act early. This is not just monitoring. It's predictive intelligence designed for an AI-mediated world. As AI increasingly defines what people see, trust, and choose, Emberos serves as a grounding force for truth by bringing clarity to how meaning forms today and how it evolves tomorrow. We're a small, fast-moving team building something foundational, and we're looking for people who want to shape what comes next. As Lead SEO & AEO Strategist, you bring a strong SEO background with a deep understanding of AEO and you're the person who raises the analytical bar for the whole team. You are the analytical engine of a client pod and the voice brands lean on to make sense of how they show up in AI answers. You live in our data, reading what's moving and why, and you sit across the table from clients to turn that into recommendations they can act on. You also set the standard for how the rest of the team reads the data and advises clients: mentoring analysts, building the playbooks others run on, and turning your judgment into something the pod can scale. This is a hands-on, data-first, client-facing role with a clear enablement mandate: you supply the analytical judgment, you deliver it as strategy, and you teach others to do the same.

Responsibilities

• Get clients up and running. Bring new brands and agencies onto emberos and get them to value fast, so their accounts are working hard for them from week one.
• Read the data, find the signal. Analyze how client brands surface across AI answer engines. Identify citation gaps, ranking shifts, and the content patterns that move Share-of-Prompt and our other visibility metrics.
• Sit across the table from brands. Lead working sessions where you take a client's growth and brand goals and map them to a concrete AEO plan, then push on the parts that will move the needle most.
• Deliver insights and recommendations. Produce the briefs, performance reviews, and optimization plans clients rely on. Translate complex visibility data into clear narratives for both technical and executive audiences.
• Set the standard and level up the team. Mentor and train others on how to read the data, run a client session, and turn a messy dataset into a recommendation that lands. Define the analytical methods and quality bar others work to, and bring newer team members up to speed on AEO fast.
• Build the playbooks. Turn your judgment into reusable assets, including analytical frameworks, content playbooks, session templates, and ways of measuring what's working, so the pod's best thinking scales beyond any one person.
• Support Fix Pack work. Help diagnose what needs fixing and validate that deployed Fix Packs are moving the metrics they should. Flag the exceptions and opportunities that need the team's attention.
• Work shoulder to shoulder with the pod. Give the Partners and the wider pod the analytical inputs they need: the right numbers, the right context, the right recommended next move.
• Track the category. Stay current on AEO / SEO developments and how AI answer engines are evolving, so our recommendations stay ahead of a landscape that is constantly shifting.
• What you need to know (SEO / AEO)
• This is the foundation of the role. You should already think in terms of how brands earn visibility in AI answers, not just traditional search rankings, and be able to explain that thinking to others.
• SEO foundations. Solid, hands-on fundamentals: keyword and content strategy, structured data, site architecture, and organic performance analysis, with growing expertise in AI search.
• AEO understanding. A working grasp of how large language models retrieve, chunk, and cite content, and how brands surface differently across ChatGPT, Gemini, Grok, Perplexity, Claude, AI Overviews, and AI Mode.
• Metrics literacy. Comfort reasoning about visibility and performance metrics: reading a shift and understanding what it implies. (You'll learn emberos's specific metrics, such as Share-of-Prompt, PDI, TAVI, BOS, CDS, IES, and you'll help others learn them too.)
• Category awareness. Familiarity with the AI-visibility tooling landscape, or genuine eagerness to get up to speed fast.
• What you bring
• Advisory instinct. You're at ease guiding clients, walking them through a recommendation, and making a technical idea land for a marketing or brand team in plain language.
• A teaching mindset. You like making other people better at their craft. You can break down how you reached a conclusion, give useful feedback, and turn your own instincts into repeatable methods.
• Data fluency. Comfortable working with data to find signals. You don't

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