Staff Backend Engineer - Host Pricing & Availability Remote

Triwill Group

United States

Remote

USD 212,000 - 265,000

Full time

14 days+

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Job summary

Airbnb, a global platform enabling hosts and guests to connect, is seeking a Staff Engineer for the Host Pricing & Availability team. You will drive technical strategy and delivery of pricing product roadmaps, architect scalable backend systems, and mentor senior engineers across the organization.

You will collaborate with product, design, and data science to evolve APIs, services, and data pipelines, balancing short-term needs with long-term quality while advancing engineering maturity and

Qualifications

  • 9+ years of engineering experience with a CS degree or higher.
  • Proven track record of leading teams and launching features.
  • Backend systems expertise in large-scale service-oriented architectures.
  • Experience influencing cross-functional partners.
  • Strong judgment balancing short- and long-term needs.
  • Excellent communication and cross-team collaboration.
  • Strong problem-solving and production debugging abilities.

Responsibilities

  • Architect and lead the technical strategy for pricing and availability backends.
  • Lead development and optimization of pricing and availability products.
  • Collaborate with product engineers and cross-functional partners on new features.
  • Contribute to long-term backend architecture within Host Pricing.
  • Establish architectural standards and mentor engineers.

Skills

Engineering leadership
Technical strategy
Backend systems
Cross-functional collaboration
Production debugging
Problem solving
Communication

Education

BS/MS/PhD in CS

Job description

Airbnb, a global platform enabling hosts and guests to connect, is seeking a Staff Engineer for the Host Pricing & Availability team. You will drive technical strategy and delivery of pricing product roadmaps, architect scalable backend systems, and mentor senior engineers across the organization.

You will collaborate with product, design, and data science to evolve APIs, services, and data pipelines, balancing short-term needs with long-term quality while advancing engineering maturity and

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