RevOps Architect: GTM Systems & AI Automation in London

RevOps Architect: GTM Systems & AI Automation in London

London Full-Time 49500 - 60500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own HubSpot and GTM tools, automate processes, and deliver data reporting.
  • Company: Thanks Ben, a forward-thinking company in London.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Exciting role with potential for career advancement in a vibrant environment.
  • Why this job: Join a dynamic team and leverage AI to drive impactful automations.
  • Qualifications: Experience with systems building and strong data skills; SQL knowledge is a plus.

The predicted salary is between 49500 - 60500 £ per year.

Thanks Ben in London is seeking a Rev Ops Executive to own Hub Spot and GTM tooling, while delivering robust data reporting across Sales, Marketing, Customer and Partnerships.

You will build workflows, automate processes, and onboard new commercial hires to the sales stack.

You should have hands-on experience building systems, strong data skills (SQL a bonus), and a track record of shipping impactful automations using AI tools such as Claude, Chat GPT, or similar.

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RevOps Architect: GTM Systems & AI Automation in London employer: Thanks Ben

Thanks Ben is an exceptional employer that prioritises a culture of trust, collaboration, and continuous improvement. As a Security Lead, you will have the opportunity to work closely with senior leadership, driving impactful security initiatives while benefiting from professional development opportunities in a dynamic environment. Located in a vibrant tech hub, the company offers a supportive atmosphere that encourages innovation and values your contributions to safeguarding enterprise SaaS security.

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Contact Details:

Thanks Ben Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land RevOps Architect: GTM Systems & AI Automation in London

Get to Grips with Data Visualisation Tools

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Join Local Business Intelligence Meetups

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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.

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We think you need these skills to ace RevOps Architect: GTM Systems & AI Automation in London

HubSpot
GTM Tooling
Data Reporting
Workflow Automation
Process Automation
Onboarding
Sales Stack Management

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 Thanks Ben, 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 Thanks Ben

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 Thanks Ben’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.