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채용Airbnb

Product Operations Lead

Airbnb

Product Operations Lead

Airbnb

United States

·

On-site

·

Full-time

·

1w ago

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 Product Operations team is the analytical and strategic backbone of Fraud and Safety Investigations (FSI) at Airbnb. We turn complex operational data into clear business decisions, close the loop between frontline agent insights and product strategy, and drive cross-functional alignment with Product, Engineering, Analytics, and Policy partners. You'll join a team that thrives when the data tells a complicated story — and knows how to make it actionable.

The Difference You Will Make:

You'll lead one or more operational domains (e.g., fraud detection, listing verification, content moderation) and own a strategic cross-functional workstream; shaping how FSI runs the business, mitigates risk, and launches new capabilities. Success means surfacing root causes that change product priorities, driving decisions that stick, and ensuring operational readiness for every major launch. Your insights won't just inform; they'll move roadmaps.

A Typical Day:

  • Mine operational data to surface root causes, not just symptoms, and translate findings into business recommendations that shape product and policy priorities
  • Own the narrative for weekly business reviews (WBRs): explain why metrics moved, surface root causes, and drive accountability for follow-through
  • Partner with Product and Engineering to influence roadmaps, represent operational realities in planning cycles, and hold teams accountable to ops readiness
  • Monitor queue health, SLA adherence, and decision accuracy; escalate systemic risks before they compound
  • Detect, triage, and coordinate resolution of operational breakages (bugs, routing issues, workflow failures) across cross-functional stakeholders — then own the RCA and ensure fixes stick
  • Distill agent and frontline feedback into structured insights that close the loop between what's happening on the ground and what gets built

Your Expertise:

  • 5+ years in product operations, trust & safety, program management, or equivalent analytical operations role
  • Proven ability to influence skeptical stakeholders using data as the primary lever. You don't just report what happened, you explain why and what to do about it
  • Natural root cause thinker who asks the right questions and doesn't settle for surface-level explanations
  • Experience building or managing feedback loops that translate frontline input into business change
  • Strong analytical toolkit: SQL preferred, Excel proficiency required, comfort with AI tools a plus
  • Project management experience (Asana or equivalent) and ability to drive accountability across teams you don't directly control
  • Comfortable in ambiguity, calm under pressure, and clear in written and verbal communication with executive audiences

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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list 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.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$106,000—$125,000 USD

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Airbnb 소개

Airbnb

Airbnb

Public

An online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet.

5,001-10,000

직원 수

San Francisco

본사 위치

$75B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

3.2

보상

3.8

문화

4.1

커리어

3.4

경영진

2.8

65%

친구에게 추천

장점

Great team culture and colleagues

Flexible work arrangements and remote options

Good benefits and perks

단점

Work-life balance challenges

Communication and organizational issues

High stress and overwhelming expectations

연봉 정보

39개 데이터

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Director

M3 · Product Manager M3

0개 리포트

$402,299

총 연봉

기본급

$160,920

주식

$201,150

보너스

$40,230

$281,609

$522,989

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 44%

보통 34%

부정 22%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit