echoloc

Ben Tech Stack

AI-powered global benefits administration platform

Software Development London, UK 51–200 employees Founded 2019 Privately Held

Ben operates a benefits platform built on Django + React + React Native, with a modern async stack (Celery, Temporal) and multicloud infrastructure (AWS, Azure). Active hiring is skewed heavily toward support and sales roles (9 open positions combined) over engineering (2), paired with accelerating velocity — a signal the company is shifting from product-led to sales-led growth. Projects confirm this: outbound sequences, ABM campaigns, and HubSpot architecture optimization sit alongside core platform work, indicating a transition into enterprise motion while managing a domain complex enough to generate internal friction around payroll reporting and benefits configuration.

Tech Stack 45 technologies

Core StackIntercom Jira Python Django TypeScript React React Native Celery Temporal AWS Intune HubSpot Google Ads LinkedIn Ads n8n Zapier Swift Kotlin Java Figma Adobe Creative Cloud Microsoft Entra Microsoft Defender Azure Entra ID PowerShell Bash ISO 27001 SOC 2 Expo Objective-C+12 more

What Ben Is Building

Challenges

  • Payroll reporting challenge
  • Complex employee benefit domain
  • Reducing repeat queries
  • Building ai-powered growth operation
  • Complex benefits configuration
  • Wallet and allowance issues
  • Manual gtm workflow inefficiencies
  • Sales tooling adoption
  • Forecasting data gaps
  • Complex customer-facing problems

Active Projects

  • Ai-first growth operation
  • Ai-driven automation workflows
  • B2b saas product delivery across hr, employee benefits, fintech
  • Sales tooling adoption and onboarding
  • Integration improvements
  • Hubspot architecture and workflow optimization
  • Cross-employer initiatives
  • Outbound sequence development
  • Outbound strategy for enterprise accounts
  • Abm campaigns with marketing

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Support
5
Sales
4
Engineering
2
Marketing
2
Product
2
Security
1

Seniority

Senior
9
Lead
5
Junior
2
Company intelligence

Find more companies like Ben by tech stack, pain points and active projects

Get started free

About Ben

Ben is a benefits administration platform using AI to automate global employee benefits strategy for mid-to-enterprise companies. Founded in 2019 and based in London, the company employs 51–200 people. The product targets multinational employers who manage complex, distributed workforces and need to consolidate multiple benefits systems into a single, scalable offering. Ben's technical foundation combines Django for backend services with React and React Native for web and mobile surfaces, integrated with AWS and Azure for multicloud resilience. The platform handles flexible benefit enrollment, payroll integration, and benefits optimization workflows, with recent expansion into outbound sales infrastructure and marketing automation via HubSpot.

HeadquartersLondon, UK
Company Size51–200 employees
Founded2019
Hiring MarketsUnited Kingdom

Frequently Asked Questions

What tech stack does Ben use?

Ben's stack includes Python, Django, TypeScript, React, React Native on frontend; Celery and Temporal for async task orchestration; AWS and Azure for infrastructure; HubSpot for CRM and sales workflows; and n8n/Zapier for integration automation.

What is Ben working on?

Current projects include AI-driven automation workflows, outbound enterprise sales strategy, HubSpot architecture optimization, integration improvements, and ABM campaigns. Internal challenges center on payroll reporting, benefits configuration complexity, and sales tooling adoption.

How this profile is built

Ben'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.