---
title: 'Senior Staff Software Engineer, Host Pricing & Settings at Airbnb'
canonical: 'https://feeny.ai/job/senior-staff-software-engineer-host-pricing-settings-airbnb-united-states-9p7kcz79v8pw'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Staff Software Engineer, Host Pricing & Settings at Airbnb

- **Company:** Airbnb
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-06-30
- **Last confirmed live:** 2026-09-09
- **Apply:** https://careers.airbnb.com/positions/8039723?gh_jid=8039723

## Job description

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. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

The Host Pricing & Settings team builds the platform and tools that help hosts run their business — with pricing strategies informed by market intelligence, comparable listings, and demand signals. We partner with Search, Listings, Tax, and Payments to ensure our guidance is accurate, timely, and trusted.

Behind every pricing recommendation is a sophisticated ML system undergoing a fundamental rearchitecture. Our north star: a serving infrastructure where training, inference, and evaluation are consistent by design — features from a centralized store, model composition in one place, and backfills available on demand so data scientists and MLEs  can evaluate candidates in days, not weeks.

The Difference You Will Make:

As a senior technical individual contributor, you will own the technical strategy for the full Modeling → ML Serving → API interface across the Host Pricing org. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers — you are expected to be hands-on and contribute code.

- Define the architecture and contracts governing how models move from development to production — feature store design, model schema management, online/offline inference consistency, and multi-version support.
- Lead the buildout of a unified serving stack that eliminates per-model one-off implementations and gives data scientists a turnkey path from training to production.
- Architect backfill and evaluation infrastructure so the modeling team can simulate production inference over historical data in days, not weeks.
- Establish domain contracts between Modeling and Serving so each team can move independently with clear, enforced interfaces.

A Typical Day:

- Review and evolve the ML serving architecture — making tradeoff calls on feature pipeline design, model composition, and API interfaces.
- Write and review code for feature engineering jobs, feature store configurations, and serving service endpoints.
- Partner with Data Science, MLE, MLI and core Pricing & Availability systems BE teams to define artifact handoffs and integration contracts.
- Drive milestone planning across the Host Pricing & Settings org, sequencing work to deliver value incrementally.
- Mentor engineers through design reviews and hands-on pairing on the hardest infrastructure problems.

Your Expertise:

- 12+ years in backend or platform engineering, with substantial experience building production ML systems or data-intensive infrastructure.
- Strong programming skills in Java, Kotlin, Scala, and/or Python.
- Deep understanding of ML systems design: feature stores, training/serving consistency, model versioning, and online/offline inference pipelines.
- Experience with high-scale batch and real-time data pipelines (Spark, Airflow, Kafka, or equivalent), including point-in-time correctness for backfills.
- Expertise with architectural patterns of large, high-scale applications — well-designed APIs, efficient data contracts, multi-tenant serving infrastructure.
- Proven ability to lead cross-team technical initiatives spanning ML and platform engineering.

Preferred Qualifications:

- Feature Store Depth: Production experience with Chronon, Tecton, Feast, or equivalent — including online/offline consistency and backfill automation.
- Model Serving Infrastructure: Experience with model schema management, multi-version support, and model composition frameworks.
- Domain Contract Design: Track record defining and enforcing technical contracts between ML modeling, MLI, serving teams and/or product surfaces.
- Evaluation Velocity: Measurable impact improving the speed at which ML teams evaluate candidate models and ship to production.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process.

## About Airbnb

## Company Overview
- **One-liner**: Airbnb operates a global marketplace for unique stays, experiences, and adventures, connecting hosts with travelers.
- **Entity Type**: Public (NASDAQ: ABNB)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2007
- **Founders**: Brian Chesky, Joe Gebbia, Nathan Blecharczyk

## Core Business
- **Primary industry/industries**: Online Travel & Hospitality, Software Development
- **Target customers**: B2C (travelers), C2C (hosts), with some B2B (Airbnb for Work, business travel)
- **Mission or purpose statement**: To create a world where anyone can belong anywhere, providing unique travel experiences and economic opportunity for hosts.

## Products & Services
- **Airbnb Stays**: The core platform for booking short-term rentals (entire homes, private rooms, shared spaces) in over 220 countries and regions.
- **Airbnb Experiences**: Curated, hands-on activities hosted by locals (e.g., cooking classes, guided hikes, workshops).
- **Airbnb Adventures**: Multi-day, small-group immersive trips led by local experts.
- **Airbnb for Work**: A service for companies to manage business travel and team retreats.
- **Luxe**: A premium tier offering vetted, high-end vacation homes with dedicated trip designers.

## Market Standing
- **Valuation/Market Cap**: ~$77.8B (as of recent data)
- **Key Metric**: Annual Revenue of $12.2B (based on available data)
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz, Founders Fund, Y Combinator
- **Growth Signals**: 
  - **From 2007 to present**: 1.5 billion guest arrivals globally.
  - **Headcount Growth**: Employs ~21,644 people, a **+30.6% year-over-year increase**.
  - **Global Reach**: Operates in 176 countries with a strong international team (e.g., offices/employees in India, Italy, Canada, Brazil, UK, Australia, China).
  - **Public Company Status**: IPO in 2020, trading on NASDAQ.

## Competitive Advantages
- **Network Effects**: A massive, global two-sided network of 5 million+ hosts and 1.5 billion arrivals creates a formidable moat that is very difficult for competitors to replicate.
- **Brand & Trust**: A globally recognized brand synonymous with alternative accommodations and travel experiences.
- **Liquidity & Inventory**: Unrivaled inventory depth across 220+ countries, offering unique stays not found in traditional hotels.
- **Live and Work Anywhere Policy**: A radical shift in work culture that offers flexibility and a competitive edge in talent acquisition, allowing employees to live anywhere in their country of employment with no compensation change.

## Strategic Focus
- **International & Mainstream Expansion**: Continuing to grow its user base beyond early adopters into mainstream travel and new international markets.
- **Product Diversification**: Pushing hard into "Experiences" and "Adventures" to reduce reliance on accommodations and capture more of the travel wallet.
- **Leveraging AI & Technology**: Investing in AI (e.g., AI Engineer roles in Community Support) to improve the guest and host experience, search, and trust & safety.
- **Return to Travel & "Live Anywhere"**: Capitalizing on the post-pandemic shift towards remote work and long-term stays with its "Live and Work Anywhere" initiative.

## Why Work Here
- **Flexibility**: A ground-breaking **"Live and Work Anywhere"** policy. Employees can work from home, an office, or temporarily anywhere in the world (with approval). Compensation is not changed when moving within their country of employment.
- **Compelling Mission**: An opportunity to work on a platform that creates connection and economic empowerment for millions of people globally.
- **Diversity & Belonging**: Strong commitment to inclusion with numerous Employee Resource Groups (ERGs) such as Able@, Black@, Women@, Parents@, and many more.
- **Great Benefits**: 
  - **Travel Credit**: Quarterly Airbnb travel and experiences credit.
  - **Education**: Annual educational stipend.
  - **Wellbeing**: Subsidized healthcare, mental health support, family care support, and generous parental leave.
  - **Equity**: Competitive compensation including equity and an Employee Stock Purchase Program (ESPP).
- **Culture**: Values-driven with a focus on "Be a Host" (caring, open, encouraging), "Champion the Mission," and "Embrace the Adventure."
- **Work Model**: Supports a mix of remote, hybrid (be close to an office), and onsite work, giving employees significant control over their schedule.
- **Talent Community**: A highly creative and collaborative environment with industry-leading talent.

## Sources
1. [careers.airbnb.com](https://careers.airbnb.com/)
2. [careers.airbnb.com/life-at-airbnb/](https://careers.airbnb.com/life-at-airbnb/)
3. [airbnb.com](https://www.airbnb.com/)
4. [linkedin.com/company/airbnb](https://sg.linkedin.com/company/airbnb)
5. [careers.airbnb.com/positions/](https://careers.airbnb.com/positions/)

## Other roles at Airbnb

- [Account Manager](https://feeny.ai/job/account-manager-airbnb-london-ya1yzjy7wzw4) — London, United Kingdom
- [Senior Support Specialist, Safety](https://feeny.ai/job/senior-support-specialist-safety-airbnb-canada-441nvmp9495c) — Canada
- [Policy Manager, Quality](https://feeny.ai/job/policy-manager-quality-airbnb-united-states-bht18dxxhqw3) — United States
- [Market Associate](https://feeny.ai/job/market-associate-airbnb-mexico-city-cpp0qheraxjk) — Mexico City, Mexico
- [Market Associate](https://feeny.ai/job/market-associate-airbnb-milan-mzg6j205x8h3) — Milan, Italy
- [Senior Community Growth Manager](https://feeny.ai/job/senior-community-growth-manager-airbnb-brazil-fptkxzcmc33q) — Brazil
- [Senior Manager, Technical Education](https://feeny.ai/job/senior-manager-technical-education-airbnb-united-states-ntabdje2bc5e) — United States
- [Senior Manager, Platform Management (Payments)](https://feeny.ai/job/senior-manager-platform-management-payments-airbnb-united-states-w7npsrxgz5nd) — United States
- [Staff UX Writer (Host)](https://feeny.ai/job/staff-ux-writer-host-airbnb-united-states-nrm7xf9gz5gr) — United States
- [Customer Service Partner Operations Manager, Mandarin Speaking (Tokyo Based)](https://feeny.ai/job/customer-service-partner-operations-manager-mandarin-speaking-tokyo-based-5z0p8q5q74as) — Tokyo, Japan