Jobs at Tufin

Lead architecture for major backend initiatives across a large, production estate. Advise engineering teams on scalable, secure designs, review technical decisions, drive modernization and technical-debt reduction, and use AI-assisted development tools to improve productivity and engineering practices.

The Senior Business Systems Analyst will optimize Lead-to-Cash processes, drive data analysis, manage system configurations, and lead cross-functional projects.

The Senior Manager of Enterprise Business Systems oversees the strategy, implementation, and optimization of enterprise applications, leading a team for full lifecycle management, ensuring system delivery, and fostering cross-functional collaboration.

The AI Engineer is responsible for designing, implementing, and deploying AI systems and applications, focusing on machine learning models and large language models (LLMs).

As a QA Engineer in DevOps, you will test and analyze requirements, write test cases, debug environments, and investigate customer scenarios.

Manage a portfolio of enterprise customers to drive adoption of the Tufin platform and Guided Success service. Develop and execute adoption plans, monitor customer health and success metrics, coordinate cross-functional teams, lead reviews and escalations, support renewals and expansion, and represent customer feedback to Product and internal stakeholders.

Manage a portfolio of enterprise customers to drive adoption of the Tufin platform and Guided Success service. Develop and execute adoption plans, monitor customer health and success metrics, coordinate cross-functional teams (TAMs, Professional Services, Support, Sales), handle escalations, support renewals and expansions, and represent customer feedback to Product Management.

The AI System Architect will oversee AI integration strategy, system governance, and architecture for enterprise applications, leading a technical team and shaping AI initiatives across platforms.

The AI System Architect leads and defines enterprise AI architecture, oversees integration strategies, manages platforms, and ensures governance compliance, shaping the AI roadmap and managing technical standards.

Lead end-to-end data science initiatives to design, build, deploy, monitor, and optimize security-focused AI systems. Develop ML models, LLM fine-tuning, AI agents, and partner with product, engineering, and security teams while mentoring others.

Serve as a senior network security domain authority to define network engineer personas and workflows, advise product and AI teams, validate agent behaviors across firewall, cloud/SASE, policy management, compliance, vulnerability management, and troubleshooting, and help build realistic enterprise test scenarios.