
201 - 500 employees
💰 $96M Venture Round on 2022-11
Travel • Technology
Hopper is a travel booking platform that offers a one-stop solution for planning trips, including flights, hotels, rental cars, and homes. The platform features advanced options such as price prediction, disruption assistance, and the Price Freeze™ feature, allowing travelers to secure deals and manage changes conveniently. Hopper is known for its mobile app availability on iOS and Android, providing a streamlined experience for its users. It serves millions of travelers worldwide, offering VIP support and various affiliate programs for partners.
🕒 March 12
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201 - 500 employees
💰 $96M Venture Round on 2022-11
Travel • Technology
Hopper is a travel booking platform that offers a one-stop solution for planning trips, including flights, hotels, rental cars, and homes. The platform features advanced options such as price prediction, disruption assistance, and the Price Freeze™ feature, allowing travelers to secure deals and manage changes conveniently. Hopper is known for its mobile app availability on iOS and Android, providing a streamlined experience for its users. It serves millions of travelers worldwide, offering VIP support and various affiliate programs for partners.
• 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. • 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. • 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. • 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.
• 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.
• Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages. • Carrot Cash travel stipend • Flexdesk All Access Pass & Work-from-home stipend • Entrepreneurial culture where pushing limits and taking risks is everyday business • Open communication with management and company leadership • Small, dynamic teams = massive impact
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