
11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Gray Swan is an AI security company that builds a research-backed platform to protect AI deployments across the entire lifecycle, offering input/output filtering, continuous monitoring, automated vulnerability testing, and enterprise-focused red-teaming services. The company combines frontier research, benchmarks, and large-scale red-team competitions to discover emerging attacks and deliver adaptive, integrable protections for AI agents, models, and connected tools. Gray Swan’s products and services are aimed at enterprises, AI labs, and security researchers seeking pre-deployment assessments, post-deployment monitoring, and compliance-ready defenses.
🕒 June 24
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11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Gray Swan is an AI security company that builds a research-backed platform to protect AI deployments across the entire lifecycle, offering input/output filtering, continuous monitoring, automated vulnerability testing, and enterprise-focused red-teaming services. The company combines frontier research, benchmarks, and large-scale red-team competitions to discover emerging attacks and deliver adaptive, integrable protections for AI agents, models, and connected tools. Gray Swan’s products and services are aimed at enterprises, AI labs, and security researchers seeking pre-deployment assessments, post-deployment monitoring, and compliance-ready defenses.
• Work directly with engineering, security, and platform teams to understand system architectures, constraints, and operational realities. • Design and implement integrations between Gray Swan’s platform and customer systems, APIs, data pipelines, and runtime environments. • Translate real-world enterprise requirements into well-scoped proofs of concept, deployment plans, and production architectures. • Act as the primary technical owner for customer deployments, rapidly identifying, scoping, and resolving issues across environments. • Build and extend backend services, integrations, and tooling to support secure deployment in diverse customer environments. • Ensure deployments meet enterprise expectations for reliability, security, observability, and maintainability. • Develop proofs of concept quickly to validate technical feasibility and customer value. • Iterate based on user feedback, operational learnings, and evolving requirements. • Balance speed with long-term maintainability and platform consistency. • Partner closely with sales, product, and core engineering teams to deliver successful customer outcomes. • Communicate technical findings, tradeoffs, and recommendations clearly to both internal teams and customers.
• Hands-on experience building and deploying production-grade software systems. • Strong background in backend or full-stack software engineering, with experience designing APIs, services, and integrations. • Familiarity with cloud-native architectures and distributed systems, including AWS, GCP, or Azure. • Experience working in ambiguous, fast-moving environments and taking full ownership of outcomes. • Comfort working directly with customers and external stakeholders on technical delivery. • Strong programming experience in Python and at least one systems or backend-oriented language (e.g., Go, Java, C++, Rust). • Experience working with data pipelines, event-driven systems, or service-oriented architectures. • Understanding of security fundamentals, such as authentication, authorization, monitoring, and secure system design. • Bachelor’s degree in Computer Science, Engineering, or a related technical field is required.
• 401k with up to 4% matching • 28 days annual leave (vacation + holidays) • Health, dental, and vision coverage • Catered lunches (Pittsburgh office) • Flexible work arrangements • Visa sponsorship available for exceptional candidates
Apply Now🕒 June 24
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