At a Glance
- Tasks: Manage customer operations, invoicing, and AI workflows to keep revenue flowing smoothly.
- Company: Join Datasharp, an innovative AI-first business data platform.
- Benefits: Hybrid or remote work, learning budget, and direct exposure to leadership.
- Other info: Great growth opportunities in a fast-paced startup environment.
- Why this job: Be at the forefront of AI operations and make a real impact on customer satisfaction.
- Qualifications: Detail-oriented, strong in Excel, and curious about AI.
The predicted salary is between 50000 - 60000 £ per year.
Location: London (Hybrid or Remote)
Keeping customers warm. Keeping cash flowing. Keeping operations clean.
About Datasharp & Infobel
Datasharp is an AI-first business data platform powering global data products used by sales, marketing, analytics, and research teams worldwide. Our ecosystem includes: Infobel, Woosmap, Techsalerator. We believe AI is not a side tool, it is part of how the company operates every day. Teams across Datasharp actively use AI systems, agents, and automation tooling to move faster, stay lean, and operate at a high level.
The Role
We’re hiring an AI Revenue Operations Specialist to run the operational backbone of Infobel’s existing customer base. You’ll work directly with Nathan (Head of Sales), owning the workflows that keep customers supported, invoices accurate, commissions clean, and revenue flowing. This role sits at the intersection of customer operations, finance operations, and AI-enabled workflows. You’ll be customer-facing enough to jump on calls, analytical enough to live in spreadsheets, and operational enough to build repeatable systems that scale.
What You’ll Do
- Coordinate ongoing customer check-ins and relationship touchpoints
- Handle basic customer questions and coordinate escalations with technical teams
- Help maintain strong customer retention and satisfaction
- Own invoicing accuracy and AR tracking end-to-end
- Monitor ageing reports and follow up on outstanding payments
- Run collections and payment chase processes professionally and consistently
- Reconcile monthly commissions for Nathan and SDR teams
- Maintain accurate tracking and ensure timely payouts
- Reduce disputes through clean documentation and processes
- Use AI tools daily (Claude, ChatGPT, agents, automations)
- Automate repetitive workflows, summaries, reconciliations, and communication drafts
- Build and document scalable operational playbook
- Serve as a reliable interface between customers, sales, finance, and technical teams
- Bring structure and calm to operational processes
What We’re Looking For
We know this is an unusual mix of responsibilities. We are not expecting someone who has done every part of this role before. What matters most is whether your strengths align with the work. You likely fit if you are:
- Highly detail-oriented and reliable
- Comfortable coordinating multiple operational workflows simultaneously
- Strong with Excel and/or Google Sheets
- Able to navigate messy datasets, trackers, or financial workflows
- Warm, professional, and confident communicating with customers
- Curious about AI and interested in using it to improve operations
- Fluent in English
Strong Plus
- French and/or Dutch
- Experience with AR, finance ops, customer success, or sales operations
- Experience working in fast-moving startup environments
What We Offer
- High ownership and visibility from day one
- Direct exposure to leadership, including Nathan and Antoine (CEO)
- AI tooling budget (Claude Pro, API credits, automation tools)
- Learning and conference budget
- A clear growth path into Revenue Operations leadership as the business scales
Hiring Process
- 30-minute screening call with Clara
- Panel interview with Nathan and Antoine
- 2–3 hour take-home exercise (AR ageing + customer communication task)
- Reference checks
- In-person half-day session & offer
We aim to move from application to offer within approximately 4 weeks.
AI Revenue Operations Specialist in City of London employer: InfobelPRO
At Datasharp, we pride ourselves on being an AI-first company that fosters a dynamic and innovative work culture. As an AI Revenue Operations Specialist in London, you'll enjoy the flexibility of hybrid or remote work while having direct access to leadership and a clear path for career advancement. With a strong emphasis on employee growth, cutting-edge AI tools, and a supportive team environment, Datasharp is committed to empowering you to make a meaningful impact in your role.
StudySmarter Expert Advice🤫
We think this is how you could land AI Revenue Operations Specialist in City of London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like InfobelPRO!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
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We think you need these skills to ace AI Revenue Operations Specialist in City of London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at InfobelPRO, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at InfobelPRO
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with InfobelPRO’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
