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- Tasks: Manage post-sales relationships and drive customer success with AI solutions.
- Company: CRED is an innovative AI startup transforming data usage for commercial teams.
- Benefits: Enjoy a competitive salary, equity, flexible work options, and growth opportunities.
- Why this job: Join a dynamic team, work with iconic brands, and make a real impact in AI.
- Qualifications: 4-8 years in Customer Success or Account Management, strong technical skills required.
- Other info: Hybrid/remote work available; ideal for those passionate about AI and customer relationships.
The predicted salary is between 42000 - 84000 ÂŁ per year.
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This range is provided by CRED. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$58,000.00/yr – $171,000.00/yr
Job Title: Customer Account Manager (Strategic Accounts)
Location: London, United Kingdom – Will review exceptional candidates from anywhere
Company Stage: Seed / Series A
About Us
We are an AI-native startup redefining how commercial teams use data to make smarter decisions. Backed by leading investors and trusted by some of the most iconic brands in sports and entertainment, we’re building the intelligence layer for modern business. With a fresh $10M+ seed round, we’re scaling quickly — and looking for a Customer Account Manager to lead strategic relationships with our most valuable clients.
Role Overview
As a Customer Account Manager, you’ll own the post-sales relationship with CRED’s enterprise customers — ensuring they’re not only successful in using our AI solutions, but also expanding their adoption and growing with us. You’ll serve as the trusted advisor and internal champion for each account, working across Product, Engineering, and Sales to drive outcomes that matter.
This is a highly cross-functional, customer-facing role that blends relationship management, technical fluency, and business strategy. You’ll work closely with implementation teams during handoff, and take full ownership of account health, usage growth, renewals, and expansion.
Responsibilities
- Strategic Relationship Management: Serve as the primary post-sales point of contact for customers, building deep relationships and becoming a trusted advisor on AI adoption
- Account Growth: Drive upsell and expansion opportunities by identifying new use cases, business needs, and product fits across accounts
- Customer Advocacy: Represent the voice of the customer internally — capturing feedback, influencing roadmap, and aligning our platform with customer goals
- Success Planning & Execution: Define success metrics and work with internal teams to deliver measurable outcomes tied to customer ROI
- Onboarding Oversight: Collaborate with Implementation Managers on initial deployments, ensuring a smooth handoff and ongoing continuity
- Renewals & Retention: Own renewal conversations and mitigate risk through proactive engagement and ongoing value delivery
- Executive Engagement: Build and maintain relationships with decision-makers and senior stakeholders to support strategic alignment
- Enablement & Education: Guide customers through best practices, product features, and AI capabilities to maximize value and adoption
- Insights & Reporting: Track customer health, usage patterns, and performance metrics to inform proactive account strategy
Requirements
- 4–8 years of experience in Customer Success, Account Management, or Strategic Post-Sales roles within SaaS, enterprise software, or data/AI platforms
- Proven track record managing mid-market to enterprise accounts, owning renewals and expansion targets
- Strong technical acumen — able to speak fluently about APIs, data integrations, AI concepts, and product workflows
- Excellent communication and presentation skills; comfortable working with both technical stakeholders and senior executives
- Collaborative and low-ego mindset — thrives in cross-functional teams and evolving startup environments
- Experience in early-stage companies is a plus; ability to build process where needed and pivot quickly
- Familiarity with AI/ML platforms, cloud infrastructure (AWS, GCP), or go-to-market teams is a bonus
- Strong organizational and project management skills to manage multiple accounts and competing priorities
Why Join Us?
- Shape the customer success and growth engine of a high-velocity AI startup
- Work with a team of world-class engineers, product leaders, and AI experts
- Own high-impact relationships with iconic brands and high-growth verticals
- Competitive salary, meaningful equity, and full benefits
- Flexible hybrid/remote environment and strong opportunities for advancement
If you’re passionate about AI, building lasting customer relationships, and driving strategic impact — we’d love to hear from you.
Compensation Range: $58K – $171K
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Sales and Business Development
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Industries
Technology, Information and Internet
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Account Manager (Customer Facing) employer: CRED
Contact Detail:
CRED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Account Manager (Customer Facing)
✨Tip Number 1
Familiarise yourself with AI and data integration concepts. Since the role requires strong technical acumen, being able to discuss APIs and AI solutions confidently will set you apart during interviews.
✨Tip Number 2
Network with professionals in the SaaS and AI sectors. Engaging with industry peers can provide insights into best practices and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience with account management and customer success metrics. Be ready to share specific examples of how you've driven account growth and managed renewals in previous roles.
✨Tip Number 4
Research CRED and its clients thoroughly. Understanding their business model and the challenges they face will help you articulate how you can add value as a Customer Account Manager.
We think you need these skills to ace Account Manager (Customer Facing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Customer Success, Account Management, or Strategic Post-Sales roles. Emphasise your technical fluency and any experience with AI or SaaS platforms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and customer relationships. Mention specific examples of how you've driven account growth and managed enterprise clients successfully.
Showcase Communication Skills: Since the role requires excellent communication skills, consider including examples of presentations or reports you've delivered to senior stakeholders. This will demonstrate your ability to engage with both technical and non-technical audiences.
Highlight Collaborative Experience: Discuss your experience working in cross-functional teams. Provide examples of how you've collaborated with product, engineering, or sales teams to achieve customer success and drive outcomes.
How to prepare for a job interview at CRED
✨Understand the Company and Its Products
Before your interview, take the time to research CRED and its AI solutions. Familiarise yourself with their products, how they work, and the value they bring to customers. This will help you speak confidently about how you can contribute to customer success.
✨Prepare for Technical Questions
Given the technical nature of the role, be ready to discuss APIs, data integrations, and AI concepts. Brush up on relevant terminology and be prepared to explain how you've successfully managed similar technical challenges in past roles.
✨Showcase Your Relationship Management Skills
As a Customer Account Manager, building strong relationships is key. Prepare examples from your previous experience where you successfully managed client relationships, drove account growth, or resolved conflicts. Highlight your ability to be a trusted advisor.
✨Demonstrate Your Collaborative Mindset
CRED values a collaborative approach, so be ready to discuss how you've worked effectively in cross-functional teams. Share specific instances where you contributed to team success and adapted to changing environments, especially in early-stage companies.
