Top Tech Jobs & Startup Jobs

Generate outbound outreach to Global 2000 enterprises, engage C-level and senior security/AI leaders, qualify leads, maintain Salesforce pipeline, partner with Regional Sales Directors on territory strategy, use sales engagement and AI-assisted prospecting tools, and hit monthly/quarterly meeting and pipeline targets.

Design, deploy, and operate AWS-based infrastructure using Kubernetes and Helm; automate workflows and CI/CD pipelines; manage edge security (WAFs, gateways, load balancers); improve reliability through monitoring, incident detection, troubleshooting, and automated recovery; build tooling and infrastructure-as-code with Terraform.

Design, build, and maintain scalable data warehouse infrastructure and pipelines. Enable analytics and product teams via data modeling, BI dashboards, data governance, and quality monitoring.

Serve as the primary technical liaison for customers, provide hands-on integration and configuration guidance, troubleshoot issues, lead technical deep-dives, collaborate with Product and Engineering on feedback, and manage stakeholder relationships to ensure long-term satisfaction and security outcomes.

Lead end-to-end product design for an AI security and governance platform. Own product domains, translate complex AI/security workflows into intuitive UI, evolve the design system, collaborate with Product and R&D, conduct user-centered research, and deliver high-quality designs through developer handoff and iteration.

Own and execute US talent acquisition strategy for GTM roles. Drive full-cycle recruiting, build proactive sourcing pipelines, manage pipeline metrics, partner with hiring managers, and deliver a high-quality candidate experience while collaborating with the People team on employer branding and process improvements.

Lead ownership of product documentation for an AI security platform: design and maintain GitBook-based docs, create quick-starts and API references, validate workflows via Kubernetes/Helm/Python/Bash, and collaborate with PM, Engineering, Solutions, and CSM teams to close content gaps and support enterprise deployments and sales enablement.

Build and lead Tier 2-3 technical support for an AI security platform. Troubleshoot complex issues across cloud environments, APIs, integrations, and distributed systems. Serve as primary escalation for advanced incidents, perform root cause analysis, work with engineering and security teams, assist with deployments, and create knowledge bases and support processes.

Build and operate scalable backend services for an AI security and governance platform. Collaborate across product, research, and platform teams, integrate with AI/LLM platforms and cloud providers, own architecture decisions, implement testing and observability, and troubleshoot production issues to improve reliability and resilience.

Design, build, and productionize LLM- and ML-based solutions to detect and mitigate AI security risks. Own end-to-end model lifecycle, integrate models into production data pipelines, collaborate with Product and Engineering, and lead research POCs to deliver pragmatic, explainable, enterprise-ready AI security features.