Description
You'll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.
You'll work with modern tooling, a cross-functional team, and teammates who care deeply about impact, collaboration, and learning together.
As a Senior Software Engineer - Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.
Your key responsibilities will include:
- Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
- Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
- Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
- Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
- Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
- Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.
- Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.
You don't need to meet every requirement , we're looking for strong fundamentals, ownership, and the motivation to grow.
- 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.
- Strong hands-on skills in Python , you write clean, production-quality code.
- Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).
- Familiarity with cloud platforms (AWS preferred) and deploying services in production.
- Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.
- Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.
- A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.
Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.