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Knowledge Editor

Airbnb

Knowledge Editor

Airbnb

Gurugram, India

·

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 CKM team includes a team of knowledge editors and writers across various regions. We manage knowledge bases in Confluence and Contentstack and work towards providing the best user experience to our Support Ambassadors who use our workflows and macros and Airbnb users who visit the Help center and/or receive macros.

The Difference You Will Make:

As a Knowledge Editor, you will be responsible for writing and editing content for our knowledge bases. You will work closely with the Knowledge Strategist, and support the Knowledge Manager in drafting high quality, accurate, and optimized content.

A Typical Day:

  • Create, organize, and optimize critical knowledge content

  • Work on content improvement through Jira tickets with role wise targets

  • Identify improvements and knowledge gaps in our content through audits and data analysis

  • Ensure our content is accurate, consistent, and highly effective for our users

  • Triage and maintain content and workflow feedback across the organization

  • Build and maintain key relationships with CS Operations, Partners, Training, Quality, Business Process and Change Management teams

Your Expertise:

  • 3+ years of experience in technical writing or relevant experience

  • Excellent proofreading skills

  • Excellent communication and interpersonal skills

  • Understanding of machine learning and AI applications in knowledge management

  • Expertise in knowledge management and content strategy

  • Knowledge of information architecture

  • Highly developed organizational and time-management skills to assess and prioritize tasks

  • Ability to work autonomously in a fast-paced environment

  • Resourceful, detail oriented, and comfortable with ambiguity

  • Knowledge of SEO strategy

  • Proven ability to work in a multicultural, multilingual global organization

  • Experience of customer support operations and agent-facing knowledge is an advantage

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.

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 shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.

India Annual Pay Range**₹700,000—₹1,000,000 INR**

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About Airbnb

Airbnb

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

5,001-10,000

Employees

San Francisco

Headquarters

$75B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

4.2

Compensation

4.0

Culture

4.1

Career

3.0

Management

4.0

78%

Recommend to a Friend

Pros

Flexibility and work-life balance

Good pay and compensation

Great leadership and bosses

Cons

Dealing with difficult guests

Guest-related damages and messes

Stressful situations with complaints

Salary Ranges

16 data points

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Director

M3 · Product Manager M3

0 reports

$402,299

total / year

Base

$160,920

Stock

$201,150

Bonus

$40,230

$281,609

$522,989

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 44%

Neutral 34%

Negative 22%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit