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As the Director of Product Marketing, you will define messaging, positioning, and sales enablement for Cogent's AI-driven cybersecurity solutions, targeting and engaging enterprise buyers effectively.

As a Regional Sales Manager, you will lead enterprise sales initiatives, manage complex sales cycles, and build strategic partnerships in cybersecurity.

Build and scale backend services and integrations for autonomous AI agents. Design distributed, stateless and stateful systems, APIs, and infrastructure for reliability, security, and enterprise integration. Drive scalability, CI/CD, container orchestration, multi-cloud deployments, and mentor growing engineering teams.

Build and own Cogent's full‑stack AI security product experience: design, implement, and maintain backend microservices, APIs and databases; develop frontend interfaces (customer portal, knowledge engine, labeling tool, dashboards); integrate systems; ship features in a multi‑tenant/cloud environment; mentor hires and contribute to engineering, operational excellence, and hiring processes.

Lead frontend architecture and platform work, build reusable component libraries and tooling, deliver AI-driven user features for security workflows, mentor engineers, and ensure scalable, high-quality frontend infrastructure and UX.

Design and build agentic AI systems for cybersecurity: architect AI cyber taskforce and production-grade agentic components, implement ranking/retrieval/search powered by LLMs, design training/evaluation frameworks, decompose security workflows, address scale/performance, and mentor engineers while contributing to engineering and operational excellence.

Early-career research-engineering fellowship to develop agentic security and auto-remediation: prototype research at the intersection of AI and formal methods, build production systems, partner with engineers and security teams, and create benchmarks and evaluation harnesses for verified-correct, policy-compliant behavior.

Design and implement a scalable data platform and integration pipeline to ingest, normalize, and index enterprise data. Build connectors, ETL/streaming pipelines, and storage/indexing strategies to support semantic search and GenAI use cases. Partner with applied AI teams, make build-vs-buy decisions, and create reusable patterns to scale integrations.

Own and build the software delivery lifecycle and CI/CD/platform systems that enable engineers and autonomous agents to build, test, deploy, and verify code securely. Implement self-hosted builders, secure GitHub Actions Runner alternatives, and infrastructure provisioning solutions.

Build and optimize data platform storage (ClickHouse, Postgres), enable on-prem deployments for enterprise customers, harden security systems, create an agent-first infrastructure and platform layer, and lead large-scale infrastructure projects across stakeholders.