At a Glance
- Tasks: Own HubSpot and streamline operations using AI tools for Sales, Finance, and Marketing.
- Company: Goodstack, a mission-driven B2B SaaS company transforming corporate giving.
- Benefits: Join a dynamic team with high agency and visibility in a growing scale-up.
- Other info: Exciting opportunity to work in a collaborative environment with a fresh $28M funding.
- Why this job: Be a pioneer in AI-native RevOps and shape the future of social impact.
- Qualifications: Experience in CRM management, HubSpot, and using AI tools for operational efficiency.
The predicted salary is between 63000 - 77000 £ per year.
Goodstack is a London-based B2B SaaS company that recently raised a $28M Series A led by General Catalyst to build infrastructure for corporate giving and nonprofit impact programs.
Join Goodstack as an AI-native Revenue Operations Manager to own the operating engine behind our growth. You will integrate HubSpot, automation tools, and modern AI workflows to streamline the GTM organisation. Your mission is to build a high-leverage, instrumented revenue engine that reduces manual friction across Sales, Finance, and Marketing.
Location: London, UK
Why this role is remarkable:
- You will be a pioneer in AI-native RevOps, moving beyond traditional process management to build high-leverage systems using tools like Clay, Zapier, and n8n.
- Backed by a fresh $28M Series A from General Catalyst, you are joining a mission-driven scale-up of 120 people transforming how global brands drive social impact.
- This role offers high agency and cross-functional visibility, allowing you to shape the commercial infrastructure and forecasting logic for the entire business.
What You Will Do:
- Own HubSpot as the primary source of truth, optimizing workflows, data structures, and automation to ensure high-quality pipeline visibility and reporting.
- Design and implement scalable GTM processes for lead-to-deal handoffs and commercial coordination points like the deal desk to reduce operational friction.
- Build and deploy internal AI-enabled automations and lightweight tools that increase leverage and accelerate decision-making across Sales, Marketing, and Customer Success.
The ideal candidate:
- You have extensive experience in CRM management and workflow design within HubSpot, specifically within high-growth B2B SaaS or operationally complex environments.
- You possess a track record of using AI tools and low-code platforms like Zapier, n8n, or Clay to materially improve operational efficiency and lead routing.
- You are obsessed with data quality and have the commercial judgment to translate complex pipeline activity into reliable inputs for FP&A and forecasting.
Revenue Operations Manager at Goodstack employer: DealHub Ltd
DealHub Ltd is an exceptional employer that fosters a vibrant and entrepreneurial work culture in the heart of London. Interns are not only given significant responsibilities but also access to mentorship from seasoned professionals, ensuring meaningful contributions and personal growth. With flexible start dates and a focus on aligning the internship experience with individual goals, DealHub Ltd stands out as a place where you can fast-track your career while being part of a supportive team.
StudySmarter Expert Advice🤫
We think this is how you could land Revenue Operations Manager at Goodstack
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We think you need these skills to ace Revenue Operations Manager at Goodstack
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 DealHub Ltd, 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 DealHub Ltd
✨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 DealHub Ltd’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.
