Top Tech Jobs & Startup Jobs

Support product marketing by conducting competitive and vertical market research, building sales enablement content (battle cards, one-pagers, decks), assisting marketing and business development campaigns, managing recurring marketing operations (quarterly newsletter), and using AI tools to accelerate draft creation while reviewing outputs carefully.

Support extended enterprise sales cycles as the technical voice: run PoCs, deliver technical demos, perform secrets analysis, architect custom workflows, provide Tier 1 post-sales support, and create technical collateral with Product and Marketing teams.

Lead offensive-focused research into secrets exposure in agentic AI and modern infrastructure. Investigate attack techniques, reverse engineer binaries and malicious packages, analyze telemetry and datasets, prototype exploit/detection tooling, collaborate with engineering to improve secret validation, and publish 2–3 technical deep-dives or talks per quarter.

Design, implement and operate the Core platform layer: identity, provisioning, RBAC, APIs, notifications, billing, and observability. Migrate customers to a platform architecture, scale GitHub check runs, redesign plan architecture, decompose a large Django monolith, and improve onboarding and integration health checks. Own end-to-end delivery, mentor peers, and drive quality standards.

Lead technical vision and architecture, mentor engineers, drive cross-team initiatives, and design scalable, high-performance systems. Collaborate with product and design, perform hands-on development and code reviews, integrate ML and security features, ensure code quality, and address large-scale scanning, deployment, and reliability challenges in cloud/containerized environments.

Optimize and administer sales tooling and CRM, ensure data integrity, automate repetitive tasks, enable new-hire ramp-up and training, collaborate cross-functionally, and deliver data-driven sales analytics and reporting.

Join the Incidents Squad to build, scale, and stabilize LLM-powered features across the incident lifecycle. Implement agentic workflows, improve reliability, latency, robustness, observability, and productionize AI systems while partnering with ML engineers and shaping platform orchestration and performance.

Lead and execute demand generation, field marketing, and GTM engineering to drive pipeline and ARR growth. Build ABM at scale, optimize channel spend and CAC, align marketing with Sales/BDR, own events and practitioner community programs, and manage GTM tooling and AI-powered personalization. Recruit, coach, and report pipeline performance to the executive team.

Design and deploy production AI agents and specs-to-production pipelines to automate engineering tasks (bug triage, diagnostics, patch suggestions, code review). Build automated workflows from design to merge-ready code, improve test generation and AI-assisted validation, consolidate team AI practices, and co-own the AI toolchain roadmap while embedding with feature teams.

Support extended enterprise sales cycles as the technical product expert: run PoCs, perform demos, architect custom workflows, assist Account Executives, handle Tier 1 post-sales support, and create technical collateral with Product and Marketing to demonstrate value and fit of GitGuardian's secrets-detection platform.