The Team:You'll join our newly formed Dynamic Pricing and Revenue Management team, working alongside a Data Scientist and a Data Analyst. Your shared mission: help hosts improve occupancy and earnings through smart, data-driven pricing strategies. A cross-functional setup, modern tooling, and teammates who care about impact and learning together.

• The tech stackData Pipelines: Airflow + dbt-core, powered by Python
• Storage & Querying: S3, Redshift, Athena, DuckDB
• ML & Model Serving: MLflow, SageMaker, deployment APIs
• Cloud & DevOps: Terraform, Docker, Jenkins, AWS EKS (Kubernetes)
• Monitoring: ELK, Grafana, Looker, OpsGenie
• Ingestion: Kafka, Airbyte, Fivetran
• AI tooling: Claude, Copilot, Codex

• What you'll doSupport model deployment and serving, help bring pricing and demand models into production, build and maintain APIs and serving infrastructure
• Build and operate production pipelines, ensuring data flows are reliable from source to model to output with proper monitoring and alerting
• Collaborate cross-functionally with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions
• Own infrastructure and tooling, set up and maintain environments, CI/CD pipelines, and the infrastructure the team depends on
• Ensure operational excellence through monitoring, automated testing, and observability across production systems
• Migrate and productionize POCs: turn experimental code into robust, maintainable Python applications
• Maintain data quality, consistency, and documentation across revenue management metrics and datasets

What you bring

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps
• Strong Python skills: you write clean, production-quality code
• Hands-on experience with CI/CD, Docker, and infrastructure-as-code (Terraform or similar)
• 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
• Curiosity about cutting-edge LLM tools and agents to boost productivity
• A proactive, ownership-driven mindset: you spot problems and drive solutions forward
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