
201 - 500 employees
Founded 2014
☁️ SaaS
🏨 Hospitality
💰 $30M Series A on 2022-07
SaaS • Hospitality
PriceLabs is a dynamic pricing and revenue management platform that helps short-term rental hosts, property managers, and hotels optimize nightly rates and occupancy. It provides a cloud-based (SaaS) solution that syncs with Airbnb, Booking. com, VRBO and 160+ property management systems, pricing 700,000+ properties across 150+ countries. Key features include a hyper-local smart pricing algorithm, portfolio analytics, market dashboards, a revenue estimator, listing optimization tools, APIs and bulk workflows that target increased revenue, ADR and occupancy for its customers.
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Posted on PriceLabs's careers page, not through a job board
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201 - 500 employees
Founded 2014
☁️ SaaS
🏨 Hospitality
💰 $30M Series A on 2022-07
SaaS • Hospitality
PriceLabs is a dynamic pricing and revenue management platform that helps short-term rental hosts, property managers, and hotels optimize nightly rates and occupancy. It provides a cloud-based (SaaS) solution that syncs with Airbnb, Booking. com, VRBO and 160+ property management systems, pricing 700,000+ properties across 150+ countries. Key features include a hyper-local smart pricing algorithm, portfolio analytics, market dashboards, a revenue estimator, listing optimization tools, APIs and bulk workflows that target increased revenue, ADR and occupancy for its customers.
• Own marketing dashboards and datasets across paid acquisition, field marketing and events, affiliate, and content/SEO • Own and maintain the underlying ETL • Build and maintain first-touch and last-touch attribution views • Investigate why different attribution views disagree • Write resilient Python ETL pipelines • Root-cause anomalies before they reach stakeholders • Translate analytical results into actionable marketing recommendations • Validate data and metrics before stakeholder use • Explain discrepancies between valid measurement approaches • Use and direct AI tools and agentic BI workflows while verifying their outputs
• Reside in India • 3–5 years in analytics, marketing analytics, or data analyst roles, ideally with direct marketing/growth exposure • Strong SQL, including complex multi-CTE queries and tracing logic through unfamiliar views • Python for data pipelines • Experience with a BI tool at the dataset/semantic-layer level, such as Superset, Looker, Tableau, or Mode • Working knowledge of first-touch, last-touch, and multi-touch marketing attribution concepts and trade-offs • Demonstrated stakeholder communication and presentation of findings to non-technical audiences • Hands-on experience with Google BigQuery and Apache Superset is nice to have • Experience owning analytics across diverse marketing channels is nice to have • Experience integrating and directing AI agents or tools within production workflows is nice to have
• Work with an industry-leading product serving thousands of customers worldwide • Work with a global team across 18 countries • Remote-first organization; work from home as the norm • Equal opportunity employment
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