Engineering Manager, Marketing Technology – Segmentation Platform, Insights Platform

🕒 May 15

🇺🇸 United States – Remote

💵 $212k - $265k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Bonuses • Equity • Employee Travel Credits