At a Glance
- Tasks: Drive revenue forecasting, sales analytics, and pricing strategy in a dynamic SaaS environment.
- Company: Join an innovative international SaaS business focused on growth and performance.
- Benefits: Competitive salary, career development opportunities, and a chance to influence key business decisions.
- Other info: Exciting opportunity to build a best-in-class revenue operations function.
- Why this job: Shape revenue performance and collaborate with executive leadership in a fast-paced setting.
- Qualifications: 5+ years in Revenue Operations or similar, strong SaaS experience, and advanced Excel skills.
The predicted salary is between 45000 - 55000 £ per year.
We're partnering with an innovative, international Saa S business to appoint a Revenue Operations Manager.
This is a highly visible role sitting at the intersection of Finance and Commercial teams, responsible for driving revenue forecasting, sales analytics, pricing strategy, and revenue operations.
Reporting into senior finance leadership, you'll play a key role in shaping revenue performance and providing critical insights that support strategic decision-making and business growth.
Key Responsibilities
- Own end-to-end revenue forecasting across bookings, billings and recognised revenue.
- Develop and maintain revenue models covering ARR, MRR, retention and growth metrics.
- Deliver sales analytics, pipeline reporting and performance dashboards for leadership teams.
- Analyse conversion rates, sales velocity, win rates and productivity metrics to drive performance improvements.
- Lead pricing optimisation initiatives and support complex deal evaluations.
- Own customer economics analysis, including CAC, LTV, NRR and churn trends.
- Manage revenue systems, CRM governance and reporting accuracy across the business.
- Drive automation, process improvements and data-led decision making across the revenue lifecycle.
About You
- 5+ years' experience in Revenue Operations, Sales Operations, Commercial Finance or a similar analytical role.
- Strong experience within Saa S or subscription-based business models.
- Deep understanding of Saa S metrics.
- Advanced Excel and financial modelling skills.
- Strong Salesforce experience, with certification advantageous.
- Experience producing forecasts, pipeline analytics and commercial insights for senior stakeholders.
- Excellent communication skills with the ability to bridge finance and commercial teams.
- Comfortable operating in a fast-paced, high-growth environment.
Why Apply?
This is a fantastic opportunity to join a growing technology business where revenue performance is central to its success.
You'll work closely with executive leadership, influence commercial strategy, and gain exposure to key business decisions while helping build and scale a best-in-class revenue operations function.
Please note
Due to the high volume of applications, we are unable to respond individually to every candidate.
If you do not hear from us within 10 working days, please assume your application has not been successful on this occasion.
Thank you for your interest.
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Revenue Operations Manager employer: Apointe
As a leading player in the finance sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Our Commercial Finance Director role offers not only competitive remuneration but also extensive opportunities for professional development and growth, all within a dynamic environment that values strategic thinking and impactful decision-making. Located in a vibrant area, our company provides a unique blend of work-life balance and community engagement, making it an excellent choice for those seeking meaningful and rewarding employment.
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We think this is how you could land Revenue Operations Manager
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We think you need these skills to ace Revenue Operations Manager
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 Apointe, 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 Apointe
✨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 Apointe’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.
