Jobs at Cogent Security

Build and optimize B2B digital demand programs across paid media, landing pages, webinars, nurture, conversion paths, and campaign operations. Own audience activation, attribution, reporting, and pipeline performance while partnering with Growth, Sales, Content, Product Marketing, RevOps, and agencies. Use AI and automation to accelerate campaign development, creative production, analysis, and workflow execution for a cybersecurity-focused company.

Build and own the company’s accounting function, including the general ledger, monthly close, accounts payable, vendor payments, invoicing, collections, tax, and compliance. Establish close calendars, reporting structures, reconciliations, policies, and internal controls; support the first financial statement audit and ERP selection. The role begins hands-on with contractor support and may grow into managing an accounting team while applying AI tools to accounting workflows.

Own the company’s five-year operating model, planning and forecasting processes, headcount plans, three-statement forecasts, SaaS metrics, sales capacity modeling, pipeline analytics, commission design, dashboards, and board materials. Partner with executives and GTM leadership on strategic finance decisions, pricing, packaging, and reporting. The role suits candidates transitioning from investment banking or management consulting into an operating company and offers growth into leading strategic finance.

Partner with founders and leaders on strategic and operational initiatives, support AI research operations and partnerships, build the QA function, and own product operations by translating customer needs into specifications and managing the ticket pipeline. The role is a high-ownership generalist position requiring strong analytical, communication, judgment, and cross-functional collaboration skills in a fast-moving startup environment.

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.

Supports pipeline reviews, forecasting, revenue reporting, CRM hygiene, and sales process discipline. Maintains HubSpot data quality, builds dashboards and workflows, analyzes funnel performance, and creates operating assets for pipeline reviews, QBRs, and leadership reporting. Partners with Sales, Finance, Demand Generation, Enablement, and GTM Engineering to improve data accuracy, automate workflows, reduce administrative work, and provide actionable insights for revenue execution.

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.

Lead end-to-end pipeline generation across field, channel, digital, partner, and SDR teams. Build and scale demand programs (ABM, outbound, events, inbound, paid), define lead-to-SQL model, track funnel metrics, partner with Sales/RevOps/Finance/Partnerships, and run weekly optimization loops. Hire and develop a demand team and launch integrated plays to scale qualified enterprise pipeline.

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.

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.

Own the full lifecycle of enterprise cybersecurity accounts, from deployment planning and integrations through adoption, renewal, and expansion. Serve as the primary technical contact for security, engineering, and IT stakeholders. Guide vulnerability management workflows, cloud and scanning-tool integrations, remediation prioritization, and compliance reporting. Translate customer feedback into product improvements and create scalable onboarding playbooks.

Own product security across the SDLC: threat modeling, secure design reviews, application security testing (code review, SAST/DAST), supply-chain/dependency hardening, CI/CD security, and building automated security tooling and guardrails while partnering with engineering and product.

Lead security engineering for an AI-native cybersecurity product: architect product security, build and evolve operational security and incident response, collaborate with ML engineers to integrate security into AI agents, implement protections and automation, and represent Cogent externally through writing and speaking.

Own and harden corporate security for endpoints, identity, and SaaS. Implement Zero Trust and device-trust patterns, build automation and tooling, run detection/response for enterprise systems, and serve as the internal security SME for corporate workflows.