At a Glance
- Tasks: Manage relationships with top FMCG brands and drive AI-powered commerce strategies.
- Company: Join a profitable startup leading the Generative Engine Optimization market.
- Benefits: Competitive salary, growth opportunities, and a chance to shape the future of AI search.
- Why this job: Be at the forefront of AI innovation and work with global brands like P&G and Unilever.
- Qualifications: 5-10 years in Amazon marketplace management and strong relationship-building skills.
- Other info: Dynamic role in a rapidly growing company with a focus on cutting-edge technology.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Azoma.ai is a profitable, $4M pre-Series A category leader in Generative Engine Optimization (GEO).
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 LLMâdriven metrics into actionable commerce strategies that ensure worldâclass brands dominate the next generation of AIâpowered 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 highâstakes relationships with worldârenowned 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 endâtoâend relationship for a portfolio of enterpriseâlevel 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 dataâdriven growth recommendations to senior marketing leads.
- Coordinate a crossâfunctional pod of specialists to ensure the execution of generative optimization strategies and maintain high delivery standards.
The Ideal Candidate:
- 5â10 years of professional experience with a deep background in Amazon marketplace management (3P, Vendor, or agencyâside).
- Proven track record of managing enterpriseâlevel consumer brand relationships and leading highâlevel strategic conversations with senior eâcommerce stakeholders.
- Expertâlevel understanding of Amazon SEO, shareâofâvoice, and emerging AI visibility metrics like Rufus recommendation rates and indexing.
Enterprise Customer Success Manager (Agentic Commerce) at in London employer: Jack and Jill AI
Contact Detail:
Jack and Jill AI Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Enterprise Customer Success Manager (Agentic Commerce) at in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Azoma.ai or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
â¨Tip Number 2
Prepare for the interview by diving deep into the companyâs products and their impact on the market. Show us you understand how generative AI is changing the game for brands like P&G and Unilever. We love candidates who are genuinely interested!
â¨Tip Number 3
Practice your pitch! Be ready to discuss your experience with Amazon marketplace management and how you've driven growth in previous roles. We want to hear about your successes and how you can bring that magic to our team.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows us youâre serious about joining our mission to redefine product recommendations.
We think you need these skills to ace Enterprise Customer Success Manager (Agentic Commerce) at in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the role of Enterprise Customer Success Manager. Highlight your experience with Amazon marketplace management and any relevant metrics you've worked with. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can help brands grow in this new landscape. Keep it engaging and make sure to connect your skills to the job description.
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to manage enterprise-level relationships. Numbers speak volumes, so include any metrics or results that showcase your success in previous roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures youâre considered for the role. Plus, itâs super easy to do!
How to prepare for a job interview at Jack and Jill AI
â¨Know Your Stuff
Make sure you brush up on your knowledge of Amazon marketplace management and AI visibility metrics. Familiarise yourself with terms like Rufus recommendation rates and indexing, as these will likely come up in conversation.
â¨Showcase Your Experience
Prepare to discuss specific examples from your past roles where you've successfully managed enterprise-level relationships or led strategic conversations. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
â¨Understand the Company
Research Azoma.ai and its position in the Generative Engine Optimization space. Be ready to discuss how you can contribute to their mission and what excites you about working with FMCG giants like P&G and Unilever.
â¨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their approach to customer success and how they measure the impact of generative optimisation strategies on brand growth.