Enterprise Customer Success Manager (Agentic Commerce) at Azoma.ai

Enterprise Customer Success Manager (Agentic Commerce)

Azoma.ai is a profitable, $4M pre-Series A category leader in Generative Engine Optimization (GEO).

Job Description

As our Enterprise Customer Success Manager, you will bridge the gap between AI data intelligence and brand growth for global FMCG giants. You’ll lead strategic visibility conversations for platforms like Amazon Rufus and Walmart Sparky, translating complex LLM‑driven metrics into actionable commerce strategies that ensure world‑class brands dominate the next generation of AI‑powered search.

Location

London, UK

Why This Role Is Remarkable

• Join the category leader in Generative Engine Optimization (GEO) at year one of a massive market shift as AI search replaces traditional keyword SEO.
• Manage high‑stakes relationships with world‑renowned FMCG brands like P&G and Unilever, serving as their primary expert on AI marketplace discovery.
• Work for a rapidly growing, profitable startup that recently raised $4M to redefine how products are recommended by ChatGPT, Rufus, and Gemini.

What You Will Do

• Own the end‑to‑end relationship for a portfolio of enterprise‑level Amazon and Walmart brands, driving retention, renewals, and expansion revenue.
• Lead strategic Monthly Business Reviews (MBRs) and Quarterly Business Reviews (QBRs) to present Rufus/Sparky visibility insights and data‑driven growth recommendations to senior marketing leads.
• Coordinate a cross‑functional pod of specialists to ensure the execution of generative optimization strategies and maintain high delivery standards.

The Ideal Candidate

• 5–10 years of professional experience with a deep background in Amazon marketplace management (3P, Vendor, or agency‑side).
• Proven track record of managing enterprise‑level consumer brand relationships and leading high‑level strategic conversations with senior e‑commerce stakeholders.
• Expert‑level understanding of Amazon SEO, share‑of‑voice, and emerging AI visibility metrics like Rufus recommendation rates and indexing.

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