Remote Sr Manager - Revenue Operations Travel Supply & AI (100% Remote - UK) in Northampton

Remote Sr Manager - Revenue Operations Travel Supply & AI (100% Remote - UK) in Northampton

Northampton Full-Time 60000 - 80000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead revenue operations by designing and implementing data models, processes, and AI solutions.
  • Company: Join a well-funded startup on a mission to revolutionise travel technology.
  • Benefits: Enjoy competitive salary, unlimited PTO, remote work, and generous parental leave.
  • Other info: Collaborate with small teams for massive impact and growth opportunities.
  • Why this job: Make a real impact in a dynamic environment while working with cutting-edge technology.
  • Qualifications: 3-5 years in revenue operations, strong analytical skills, and proficiency in SQL.

The predicted salary is between 60000 - 80000 £ per year.

This is an exciting role for a commercially-minded operator who gets into the weeds — someone who doesn't just analyse the business, but rolls up their sleeves to build the tools, processes, and workflows that make revenue generation work better. As Revenue Operations Manager, you will own the analytical and operational infrastructure that powers our Travel Commercial organisation. This organisation is responsible for all the travel supply inventory — hotels, homes, and cars — that is distributed to our global partners. You will be expected to design, build, and implement: from data models and reporting frameworks through to process redesigns and AI-powered ways of working that give our teams a structural edge.

Reporting into senior commercial leadership and working in close partnership with our Product and Engineering teams, this role sits at the exciting intersection of data, process, and technology. It will cultivate the skills — stakeholder and programme management, structured problem definition, and data-informed prioritisation — that have typically helped operators grow into roles such as a Commercial Leader, Chief of Staff or Product Manager.

What would your day-to-day look like:

  • Revenue Analytics & Business Intelligence - Own the design, build, and ongoing evolution of the data models, dashboards, and reporting frameworks that give the commercial organisation clear visibility into performance across the full revenue funnel — and maintain them to a standard that makes the data genuinely trusted and acted upon.
  • Use AI tools as a core part of your analytical workflow — accelerating the speed of insight generation, improving output quality, and freeing up time for higher-order problem solving.
  • Conduct deep-dive analytical projects to identify patterns, anomalies, and opportunities in revenue data — translating complex findings into clear, actionable insights for commercial stakeholders.
  • Define, build, and track KPIs that measure not just business outcomes, but the effectiveness of the processes that drive them — creating a feedback loop that continuously improves how the organisation operates.

Process Design & Operational Excellence

  • Map, challenge, and rebuild core revenue workflows — including pipeline management, forecasting cadences, and sales incentive structures — producing cleaner, faster, and more scalable ways of working.
  • Implement operational improvements end-to-end: not just designing the solution, but seeing it through to adoption across commercial teams and measuring its impact with rigour.
  • Identify where AI can be applied to fundamentally change how revenue processes work — building and deploying those solutions directly rather than outlining them for others to execute.

Systems Thinking & Tooling

  • Develop a hands-on understanding of how our revenue tech stack — data pipeline and customer-facing product — fits together, diagnosing where friction, data loss, or missed opportunities exist.
  • Work directly with Product and Engineering teams to shape and prioritise improvements to internal tooling and systems, grounding those conversations in operational data and a clear point of view on what will move the needle.
  • Translate commercial problems into well-defined briefs that technical teams can act on — bringing enough technical fluency to be a genuine peer in those conversations.

Commercial Strategy & Go-to-Market Contribution

  • Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and that decisions translate into clear next steps with accountable owners.
  • Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting — producing outputs that commercial leaders can use directly.
  • Contribute to go-to-market strategy and sales process design, bringing a data-informed perspective on where the highest-leverage opportunities lie.
  • Spend time in the field with commercial teams to understand where the real friction is — then go and fix it.

An Ideal Candidate Has:

  • 3–5 years of experience in revenue operations, sales operations, strategy & operations, or a similar analytical or commercial role.
  • A track record of building things — data models, dashboards, process frameworks, operational tools — not just recommending them.
  • Strong commercial instincts paired with rigorous analytical capability — comfortable moving between a strategic conversation and a hands-on build with equal ease.
  • Genuine excitement about AI and a habit of already using it — someone who has explored how AI tools can accelerate and improve their own work, and is eager to bring that into the fabric of how a commercial organisation operates.
  • Proficiency in SQL and experience with data and BI tools (e.g. Looker, Tableau, BigQuery, or similar).
  • Experience working cross-functionally with Product and/or Engineering teams, or a strong desire to build this muscle — with enough technical fluency to hold their own in those conversations.
  • A bias toward first-principles thinking — questioning assumptions, stress-testing processes, and always asking why something works the way it does.
  • A bias for action, a strong sense of ownership, and the ability to thrive in fast-moving, ambiguous environments.

Perks and benefits of working with us:

  • Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages.
  • Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health.
  • Automatic contributions when you start with Hopper through Smart Pension.
  • Please ask us about our very generous parental leave, much above industry standards!
  • Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
  • Carrot Cash travel stipend.
  • Unlimited PTO.
  • Entrepreneurial culture where pushing limits and taking risks is everyday business.
  • Open communication with management and company leadership.
  • Small, dynamic teams = massive impact.

At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally.

Remote Sr Manager - Revenue Operations Travel Supply & AI (100% Remote - UK) in Northampton employer: Hopper

Hopper is an exceptional employer that fosters an entrepreneurial culture, encouraging innovation and risk-taking while providing employees with the tools and support needed for personal and professional growth. With a competitive salary, generous benefits including unlimited PTO, and a commitment to employee well-being through comprehensive health coverage and flexible work arrangements, Hopper empowers its team members to make a significant impact in the rapidly evolving travel industry. As a fully remote position based in the UK, this role offers the unique advantage of working within a dynamic, globally recognised startup that is reshaping the future of travel.

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Contact Details:

Hopper Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Sr Manager - Revenue Operations Travel Supply & AI (100% Remote - UK) in Northampton

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We think you need these skills to ace Remote Sr Manager - Revenue Operations Travel Supply & AI (100% Remote - UK) in Northampton

Revenue Operations
Data Modelling
Business Intelligence
AI Tools Utilisation
Analytical Project Management
KPI Definition and Tracking
Process Design

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 Hopper, 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 Hopper

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 Hopper’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.