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Silverfort is a fast-growing identity security company on a mission to secure identities and access for humans, machines, and AI agents across on-premises and cloud environments. The company's platform is trusted by over 1,000 customers, including many Fortune 100 companies, and is positioned as the broadest identity security solution in the market.
We are seeking a hands-on Lead Technical Program Manager to drive cross-functional programs across R&D and lead the R&D Operations team. This role is critical to delivering programs on time while maintaining smooth and efficient R&D processes and tooling.
Key Responsibilities:
- Own end-to-end planning and execution of cross-functional programs spanning R&D, IT, and Security
- Build and maintain comprehensive project plans, timelines, dependencies, and risk logs to keep stakeholders aligned on scope and status
- Drive release management, including release calendars, readiness criteria, and go/no-go decisions across engineering teams
- Identify risks and blockers early, drive resolution, and escalate proactively to keep programs on track
- Track KPIs for R&D quality and efficiency, and present data-driven insights to company leadership
- Lead and develop the R&D Operations team through coaching, priority setting, and performance management
- Improve R&D processes, tooling, and system integrations while partnering with IT and Security to meet compliance standards
Requirements:
- 3–5 years of experience as a team lead or people manager, ideally in technical program management, R&D operations, or engineering operations
- Proven track record managing cross-functional technical projects in a SaaS environment
- Experience with end-to-end release management and Agile methodologies (Scrum/Kanban)
- Strong organizational skills; ability to prioritize and manage multiple concurrent workteams and escalate appropriately across management layers
- Solid technical background, including APIs, system integrations, and architecture documentation
- Proficiency with Jira and Confluence for tracking and reporting
- Strong stakeholder management and communication skills, with excellent written and verbal English
- Strong AI orientation, including fluent and frequent use of modern AI tools (Anthropic, OpenAI, and similar) in real working contexts
- Advantageous: cybersecurity background, on-premises and networking knowledge, experience with technology integrations (APIs, third-party tools), or BA/BSc in Computer Science, Engineering, or related field
