AI-driven strategic intelligence on nation-state and supply chain risk
Strider Technologies turns open-source data into intelligence on state-sponsored threats, built on Python, Java, AWS, PyTorch and a graph layer in Memgraph alongside Elasticsearch. Hiring is accelerating and sales-led, with job posts centered on federal acquisition, GSA schedule contracting and partner expansion, a sign the company is pushing hard into government buyers while automating intelligence production pipelines.
Strider Technologies is a privately held strategic intelligence company founded in 2019 and headquartered in Salt Lake City, Utah. It applies AI and proprietary methods to open-source data to help organizations address risks such as intellectual property theft, targeted talent recruitment and supply chain exposure tied to nation-states. The company employs 201–500 people and hires in the United States, Japan and the United Kingdom. Its focus areas include national security, economic security and emerging technology risk, with growing attention on federal government customers.
Strider runs on Python, Java, TypeScript and AWS, with PyTorch and scikit-learn for ML, Elasticsearch, DynamoDB and Memgraph for data, OpenAI and Anthropic models, and Salesforce, Salesloft and ZoomInfo for sales.
Yes. Hiring is accelerating and weighted toward senior sales roles, with additional openings in data, engineering, design, intelligence, product and security across the US, Japan and the UK.
Strider Technologies is headquartered in Salt Lake City, Utah. It was founded in 2019 and has 201–500 employees.
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Strider Technologies'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 →
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