AI-native cybersecurity platform protecting enterprise networks from emerging threats
Darktrace operates a security operations platform anchored in machine learning, deployed across nearly 10,000 organizations. The hiring mix reveals a sales-led scaling phase: 49 of 104 active roles are sales-focused, with notable leadership hires in sales and customer support direction. Active projects center on sales productivity (cold calling, sales academy, pipeline hygiene) and support automation (AI-driven tooling, partner-led models), indicating internal pressure on retention and forecast accuracy alongside expansion into larger accounts.
Notable leadership hires: Customer Support Director, Sales Director
Darktrace is a Cambridge-based public company founded in 2013, operating a security platform built on real-time AI analysis of network traffic and behavior. The platform serves security and IT teams at enterprise organizations, combining threat detection with automated response capabilities. The company operates at scale across 1,001–5,000 employees, with a global footprint spanning the UK, US, Australia, Canada, and multiple other regions. Go-to-market includes both direct sales and partner channels, with current focus on reducing churn, improving net revenue retention, and deepening customer relationships through upsells and custom integrations.
Darktrace uses Salesforce and LinkedIn Sales Navigator for sales operations, Gong and Outreach for engagement, Python and Docker for development, Cisco and Juniper for network integration, and Azure plus Intune for cloud infrastructure and device management.
Darktrace employs over 2,400 people across 1,001–5,000 employee range, headquartered in Cambridge with distributed teams across the UK, Americas, APAC, and EMEA regions.
Darktrace'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.