Workato

HQ
Mountain View
Total Offices: 17
650 Total Employees
Year Founded: 2013

Workato Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Company Culture

Office is pet friendly

Provides free snacks and drinks

Offers a remote work program

Offers diversity-based Employee Resource Groups

Recently posted jobs

12 Minutes AgoSaved
In-Office
Denver, CO, USA
Cloud • Enterprise Web • Information Technology • Productivity • Software
Own the strategy, roadmap, and outcomes for Workato’s B2B SaaS website. Lead visitor research, information architecture, navigation, content discovery, design collaboration, growth experimentation, conversion optimization, governance, and web experience standards. Partner cross-functionally with Marketing, Design, Engineering, Data, Sales, and Revenue Operations to improve visitor understanding, qualified conversions, content engagement, and website-sourced pipeline. Apply AI to research, prototyping, content workflows, analysis, and experimentation.
12 Minutes AgoSaved
In-Office
Palo Alto, CA, USA
Cloud • Enterprise Web • Information Technology • Productivity • Software
The Staff Product Manager will lead AI evaluations, create customer-facing tools, and establish metrics for internal and external integration, enhancing product quality and user experience.
4 Hours AgoSaved
In-Office
Belgrade, Grad Beograd, Centralna Srbija, SRB
Cloud • Enterprise Web • Information Technology • Productivity • Software
Develop high-performance Go backend services and routing infrastructure for Workato’s AI platform. Build chatbot dispatching, synchronous and asynchronous AI execution, logging, monitoring, and highly available distributed systems. Collaborate with Infrastructure, SRE, and AI teams to deliver scalable features, conduct architectural reviews, improve system performance, and support the full development lifecycle.