Globality, Inc.

HQ
Palo Alto
98 Total Employees
Year Founded: 2015

Globality, Inc. Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

5 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence
Own monthly close activities for assigned accounts and entities, including reconciliations, journal entries, financial analysis, and reporting. Support foreign entity reporting, compliance filings, audits, and tax preparation. Identify process and financial system improvements while collaborating across global finance teams. The role requires strong GAAP knowledge, ERP and Excel proficiency, attention to detail, and adaptability in a growing SaaS environment.
23 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence
Manage enterprise customer relationships from implementation through expansion. Drive platform adoption, deliver training, identify new use cases, build trusted stakeholder relationships, resolve client challenges, and partner with sales, product, engineering, and marketing teams. Monitor account health metrics including NPS and NRR, support renewals and growth opportunities, report on success criteria, and share customer success best practices.
One Month AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence
Design and develop scalable AI platforms and developer tools using Python, MLOps, LLM prompting, and agentic workflows. Build ETL and data pipelines, integrate and deploy models on cloud infrastructure, implement monitoring and reliability dashboards, prototype generative AI applications, and establish testing, documentation, security, and ethical AI standards. Collaborate with data, engineering, and product teams to operationalize intelligent applications.