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Deputy Tech Stack

Workforce management platform for scheduling, timesheets, and shift operations

Software Development Sydney, New South Wales 201–500 employees Founded 2008 Privately Held

Deputy operates a workforce management platform handling employee scheduling, timesheets, tasking, and workplace communication. The tech stack reflects a modern SaaS architecture—React/Vue/Nuxt frontend, Go backend, gRPC/Protocol Buffers for service communication, Databricks/Delta Lake for analytics—paired with a sales and marketing infrastructure (Salesforce, Marketo, Customer.io, Segment). Hiring acceleration is engineering-heavy (11 open roles vs. 2 in sales), with seniority skewed toward senior and lead positions, suggesting both product complexity and internal scale challenges.

Tech Stack 23 technologies

Core StackMarketo Customer.io Salesforce Figma Next.js Contentful Datadog JavaScript React Vue PHP Go gRPC Databricks Delta Lake Google Ads Google Tag Manager Nuxt Storyblok Segment Cloudflare Pages Protocol Buffers OpenAPI

What Deputy Is Building

Challenges

  • Scaling platform reliability
  • Consolidating disparate marketing automation platforms
  • Inadequate tools for frontline workers
  • Lack of tech for shift workers
  • Reducing reactive workload
  • Scalable martech stack
  • Reducing manual effort in component creation and maintenance
  • Managing comprehensive grc programs
  • Managing high-priority escalations
  • Complex product updates for commercial teams

Active Projects

  • Standardising tam playbooks and frameworks
  • Custom solution design for enterprise customers
  • Payroll implementation for enterprise customers
  • Martech stack consolidation
  • Migration of marketing automation stack
  • Developing scalable solutions to reduce reactive workload
  • Ai governance program
  • Digital acquisition initiatives
  • Billing technology integration with salesforce
  • Revenue dashboards development

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Engineering
11
Product
3
Support
3
Marketing
2
Sales
2
Design
1
HR
1
Security
1

Seniority

Senior
10
Lead
9
Junior
2
Director
1
Manager
1
Mid
1
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About Deputy

Deputy is a privately held Australian company founded in 2008, headquartered in Sydney. The platform manages shift scheduling, time tracking, task assignment, and team communication for mid-market and enterprise customers across 100+ countries and 245 industries. Over 500 million shifts have been scheduled through the system. The product integrates payroll systems and compliance features; active projects show focus on enterprise customization, payroll implementation, scalability improvements, and AI governance. Current pain points center on platform reliability at scale, reducing reactive support workload, and tooling gaps for frontline and shift workers.

HeadquartersSydney, New South Wales
Company Size201–500 employees
Founded2008
Hiring MarketsAustralia

Frequently Asked Questions

What tech stack does Deputy use?

Frontend: React, Vue, Nuxt, Next.js. Backend: Go, PHP, gRPC, Protocol Buffers. Data: Databricks, Delta Lake. Marketing/sales: Salesforce, Marketo, Customer.io, Segment. Design/content: Figma, Storyblok, Contentful. Monitoring: Datadog. CDN: Cloudflare Pages.

Is Deputy hiring engineers?

Yes. 11 of 24 active roles are engineering-focused, with positions split across senior (10 total headcount) and lead (9 total headcount) levels. All hiring is currently in Australia.

What is Deputy working on?

Enterprise customization and payroll implementation, marketing stack consolidation, AI governance, scalability improvements to reduce reactive workload, billing integration with Salesforce, and revenue analytics dashboards.

How this profile is built

Deputy's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.