CHILD CONTENT-SINGLE LOADED
Airbnb Staff Advanced Analytics, Digital & AI Products Recruitment 2026: Apply Online | jobscheck.in

⏳ Last Date to Apply: Not Specified

💼
Airbnb

Airbnb Staff Advanced Analytics, Digital & AI Products Recruitment 2026: Apply Online

Staff Advanced Analytics, Digital & AI Products

📍 Location: Bangalore, India
💼 Type: Full Time
💻 Work Mode: On-site / Office
Experience Required
12-18 years
Salary / Package
Competitive + Equity & Benefits
Work Mode
On-site / Office
Openings
1

Job Overview

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. We are looking for a hands-on staff advanced analyst who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization.

  • Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.
  • Drive day to day product analytics and build scalable analytical solutions.
  • Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience.
  • Own the product analytics roadmap, prioritization & delivery of solutions in the Contact Center Product space.
  • Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness.
  • Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows.
  • Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimizations.
  • Translate insights into strategic recommendations for senior leaders; shape product priorities through data.
  • Hire, mentor and uplevel team capability in AI analytics, experiment best practices and storytelling.

Key Job Details

Company NameAirbnb
Job RoleStaff Advanced Analytics, Digital & AI Products
Experience12-18 years
Salary RangeCompetitive + Equity & Benefits
Job TypeFull Time
Work ModeOn-site / Office
Openings1
Job LocationBangalore, India

Key Responsibilities

  • Serve as a data thought partner to product and business leaders across marketplace teams.
  • Drive day-to-day product analytics and build scalable analytical solutions.
  • Analyze guest and host interactions with CS products such as AI Assistants, IVR, and agent tools.
  • Own the product analytics roadmap, prioritization, and delivery within the Contact Center space.
  • Lead end-to-end measurement for AI systems, aligning metrics with business outcomes and user experience.
  • Collaborate with engineering to define scalable logging and ensure observability across LLM workflows.
  • Design and evaluate A/B and causal tests to quantify the impact of AI features.
  • Translate insights into strategic recommendations for senior leadership to shape product priorities.
  • Hire, mentor, and uplevel team capabilities in AI analytics and experimentation best practices.

Requirements & Qualifications

  • Minimum 12-18 years of industry experience in a quantitative field.
  • Degree (Masters or Ph.D. is a plus) in Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
  • Expert communication and collaboration skills with cross-functional and cross-cultural experience.
  • Strong expertise in Python, SQL, A/B testing platforms, and best practices.
  • Expertise in EDA, hypothesis testing, regression, clustering, NLP, machine learning, and deep learning.
  • Understanding of LLM architectures (prompt chains, RAG, LangChain, DSPy).
  • Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability.
  • Experience designing and building metrics and prototypes with data pipelines.

Required Skills

  • Python & SQL
  • A/B Testing & Causal Inference
  • Exploratory Data Analysis & Statistics
  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP) & Text Mining
  • LLM Architectures & Prompt Engineering (LangChain, DSPy)
  • Agentic AI Systems & Observability
  • Product Analytics & Metrics Design
  • Cross-functional Leadership & Mentorship

About Airbnb

Airbnb was founded in 2007 when two hosts welcomed three guests to their San Francisco home, and has since expanded globally with over 5 million hosts welcoming millions of guest arrivals. Airbnb fosters innovation, diversity, and engagement, offering unique stays and experiences that connect communities worldwide.

⚠️ Safety Advisory for Candidates
  • This is a private corporate career listing collected from official channels.
  • We do not charge any money for job alerts, scheduling, or application processes.
  • If a recruiter demands any payment or “security deposit” in exchange for a job offer, it is a scam.
  • Verify details on the official company portal before sharing sensitive personal details.

Frequently Asked Questions

Q: What is the job location for this role?
A: The position is based in Bangalore, India.
Q: What experience is required for the Staff Advanced Analytics role?
A: Candidates must have 12-18 years of relevant industry experience in a quantitative field.
Q: What educational qualifications are preferred?
A: A Master’s or Ph.D. degree in Statistics, Computer Science, Engineering, Mathematics, Data Science, or a related quantitative field is a plus.
Q: What technical skills are needed?
A: Strong expertise in Python, SQL, A/B testing, machine learning, and foundational understanding of LLM architectures and Agentic AI systems.
Q: How can I apply for this position?
A: You can apply online by visiting the official Airbnb careers portal through the provided application link.
Disclaimer: This job post is prepared by collecting data from the official career page of Airbnb. We are not direct recruiters or representatives. Candidates should carefully review the requirements and policies on the company’s portal before initiating an application.