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Own post-sale success for enterprise customers using SAFE’s CTEM platform. Serve as a trusted cyber-risk advisor to CISOs, CIOs, risk, compliance, and security operations stakeholders; align success goals, drive value realization and retention metrics, support platform adoption, coordinate deployment issues, document best practices, and communicate customer feedback to Product Management.

Own the global demand generation strategy and pipeline outcomes for an AI-driven cybersecurity platform. Lead ABM, integrated campaigns, paid media, third-party demand, webinars, and virtual programs across enterprise markets. Partner with Sales, RevOps, and Product Marketing on forecasting, account coverage, attribution, and pipeline measurement. Operate and optimize the demand technology stack, manage spend based on ROI, and communicate performance and strategic tradeoffs to executives.

Sell a new AI-driven cybersecurity SaaS platform to enterprise C-level executives. Hunt and expand accounts, manage territory pipeline and forecast, close complex deals from proposal through contract, leverage channel and SI partners, and meet quarterly revenue targets using MEDDICC/MEDDPIC sales methodology.

The Sales Development Representative will research accounts, manage relationships, qualify leads, develop opportunities, and support sales efforts in a high-growth cybersecurity environment.

The Senior DevOps Engineer will lead automation, infrastructure management, and CI/CD initiatives, ensuring system reliability and performance.

Lead a team of developers to deliver core product features for predicting and preventing cyber breaches, ensuring technical excellence.

As an Engineering Manager, you'll lead a team of engineers, providing technical guidance, strategy, and project management to develop solutions that prevent cyber breaches.

Lead architecture and implementation of enterprise-grade AI systems for cybersecurity: LLM orchestration, RAG pipelines, vector stores, agents, model deployment, evaluation, monitoring, and governance. Partner with platform and data teams, productionize agents, build AI observability and HITL loops, and mentor engineers to deliver explainable, reliable, and secure AI features for enterprise products.

Join our engineering team to develop core product features, lead development, conduct code reviews, and integrate AWS cloud services to enhance cybersecurity solutions.

Perform vulnerability research and exploit development: identify CVEs with available exploits/PoCs, build vulnerable labs, port exploits to frameworks (Metasploit, Nuclei), contribute to open-source exploit projects, and collaborate with Threat Research and Program Management while using LLMs for research.