
5001 - 10000 funcionários
Fundada em 2007
👥 B2C
🛍️ Comércio Eletrônico
💰 Post-IPO Equity em 2020-12
B2C • eCommerce • Hospitality
O Airbnb é um marketplace online global que conecta pessoas em busca de hospedagem a anfitriões que oferecem opções de estadia únicas e diversas, muitas vezes em propriedades residenciais. Os usuários podem reservar espaços que vão de apartamentos de um quarto a casas inteiras e hotéis boutique. O Airbnb também oferece Experiências, permitindo que hóspedes reservem atividades oferecidas por moradores locais, proporcionando uma experiência de viagem autêntica.
🕒 Maio 15
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $212.000 - $265.000 / ano
⏰ Tempo Integral
🟠 Sênior
🔴 Especialista
👮♀️ Gerente de Engenharia de Software
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

5001 - 10000 funcionários
Fundada em 2007
👥 B2C
🛍️ Comércio Eletrônico
💰 Post-IPO Equity em 2020-12
B2C • eCommerce • Hospitality
O Airbnb é um marketplace online global que conecta pessoas em busca de hospedagem a anfitriões que oferecem opções de estadia únicas e diversas, muitas vezes em propriedades residenciais. Os usuários podem reservar espaços que vão de apartamentos de um quarto a casas inteiras e hotéis boutique. O Airbnb também oferece Experiências, permitindo que hóspedes reservem atividades oferecidas por moradores locais, proporcionando uma experiência de viagem autêntica.
• Lead weekly planning, roadmap reviews, and cross-team syncs for Segmentation and Insights Platform, keeping delivery on track and stakeholders well-informed • Run 1:1s with engineers, with intentional focus on career growth, technical skill development, and early identification of blockers • Serve as the primary engineering DRI for cross-team dependencies — fielding requests from teams across Airbnb tech. and making clear, reasoned prioritization calls • Partner with the Product Manager to sequence the roadmap • Drive technical strategy for the Insights Intelligence Engine — Airbnb's emerging AI/ML anomaly and trend detection system — working across ML, Data Engineering, and Analytics Engineering disciplines • Oversee the design, delivery, and operational health of production agentic systems: autonomous pipelines, LLM-orchestrated workflows, and multi-agent architectures running at Airbnb scale • Champion AI-native development practices across both teams — from AI-assisted coding and review workflows to the use of agents in CI/CD, on-call response, and data quality monitoring • Own the health and operational maturity of both teams: on-call programs, incident retrospectives, SLO definitions, and runbook quality • Represent both platforms in org-wide planning cycles and contribute to the broader Marketing Technology engineering strategy.
• 9+ years of software engineering experience, with 4+ years in an engineering management role leading platform or infrastructure teams • Demonstrated experience managing engineers across a range of seniority levels, including early-career engineers, with a track record of meaningful career growth outcomes • Strong technical foundation in distributed data systems, backend infrastructure, or marketing/ad technology platforms — able to engage credibly in architecture and design conversations • Experience owning cross-team platform relationships: managing inbound dependency requests, negotiating priorities, and communicating commitments with confidence • Track record of delivering complex, multi-quarter technical roadmaps in fast-moving environments • Fluency in data-driven engineering practices: data pipelines, analytics infrastructure, observability, and operational excellence. • Experience with audience segmentation, targeting systems, or marketing data infrastructure at scale • Familiarity with ML/AI-powered analytics systems or experience managing engineers working on applied ML workstreams • Hands-on familiarity with agent frameworks and orchestration tooling (e.g., LangGraph, CrewAI, Autogen, or similar) and practical knowledge of where these systems break down in production • Experience managing teams that own on-call rotations and production services with external SLAs • Comfort navigating the intersection of engineering, data science, and analytics engineering disciplines within a single team • Experience actively integrating AI-assisted development practices into team workflows and advocating for their adoption.
• Bonuses • Equity • Employee Travel Credits
Candidatar-se🕒 Maio 14
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