Offices at Xero

Xero is headquartered in Wellington, Wellington, NZL and has 8 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

Global Office Locations

HQ
Wellington, Wellington, NZL

19-23 Taranaki Street, Wellington, New Zealand, 6142

Singapore
Singapore

18 Cross Street, Singapore, 048423

Denver, Colorado, USA

1615 Platte Street, Denver, CO, United States, 80202

London, England

188 York Way, London, United Kingdom, N79AS

New York, New York, USA

45 West 45th Street, New York, NY, United States, 10036

San Mateo, California, USA

1875 South Grant Street, Suite #640, San Mateo, CA, United States, 94402

Sydney, New South Wales, AUS

Sydney, NSW, Australia

Toronto, Ontario, CAN

250 University Ave, Toronto, Ontario, Canada

Search the 78 jobs at Xero

Recently posted jobs

Cloud • Fintech • Information Technology • Machine Learning • Software
As a Bilingual Customer Support Representative at Xero, you'll provide exceptional support for Canadian tax professionals using TaxCycle's products. Your role involves addressing clients' inquiries about income tax preparation via phone and email, assisting with installations, managing product orders, and performing testing. Your problem-solving skills will enhance client satisfaction and contribute to the company's growth in providing seamless experiences with tax software.
10 Hours Ago
Melbourne, Victoria, AUS
Hybrid
Cloud • Fintech • Information Technology • Machine Learning • Software
The Director of Product Design at Xero will lead the design direction for product areas, manage a product design team, and ensure high-quality design solutions. Responsibilities include mentoring team members, collaborating with product and engineering leaders, and aligning design practices with business objectives.
10 Hours Ago
Melbourne, Victoria, AUS
Hybrid
Cloud • Fintech • Information Technology • Machine Learning • Software
Responsible for engineering large and complex data sets, building robust data pipelines, and supporting data transformation for analytics, business intelligence, and machine learning models. Key responsibilities include integrating systems, deploying data pipelines, ensuring data quality, and driving continuous improvement.