Jobs at Cogent Security

The role involves analyzing revenue operations, managing pipeline hygiene, conducting conversion analysis, running forecasting, and supporting sales process design in a B2B SaaS environment.

Manage day-to-day operations across workplace (SF & NY), people operations (recruiting coordination, onboarding, legal/immigration coordination, Founder Academy), events (concept to execution), and special projects with founders and Head of BizOps. Drive cross-functional initiatives, vendor and landlord relationships, swag and off-sites, and process automations using AI tools and scripts.

Manage day-to-day operations of the San Francisco office and coordinate logistics for the New York office. Oversee move-ins/outs, vendor relationships, supplies, shipping, visitor check-in, onboarding logistics, offsite planning, and employee experience programs. Act as primary office contact across teams and locations to ensure smooth operations.

Design and scope vulnerability management solutions for enterprise customers, translate customer environments into implementation plans, write actionable tickets for engineering, own technical relationships during deployments, and create repeatable scoping practices to reduce forward-deployed engineering.

Drive technical sales cycles from scoping to implementation, translating complex security requirements into demos and proposals, and collaborating with various teams.

Lead Cogent's organic social strategy and content production. Collaborate with leadership to create impactful narratives and manage influencer relationships.

As a Technical Account Manager, you will oversee customer deployments, ensuring technical success and integration, all while building strong relationships and troubleshooting issues effectively.

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.

Own storage, protection, and operations for relational, streaming, and analytical stores. Standardize backup, restore, retention, and encryption across Aurora/RDS, ClickHouse, and MSK. Build observability dashboards for capacity, performance, replication, lag, and cost. Create a Storage Operations Agent for incident triage, slow-query investigation, and remediation workflows. Hands-on engineering role focused on data infrastructure, automation, and agent-forward operations.

As a Research Scientist at Cogent, you will conduct high-impact research in AI-driven code analysis and automated reasoning, publish findings, and collaborate with product teams.

As an AI Research Engineer, you'll conduct research in AI and automated reasoning, creating innovative solutions, testing systems, and contributing to scientific publications while collaborating with engineering teams.