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Lead Technical Program Manager

SilverfortTel Aviv и ещё 1 городот 3 лет
JiraSaaSAgileConfluenceScrumAPIsAI toolsKanbanprogram managementR&DSystem IntegrationRelease Management

Описание

Silverfort is looking for a hands-on Lead Technical Program Manager to drive cross-functional programs across R&D, and to lead their R&D Operations team. The goal is to deliver programs on time and keep R&D processes and tooling running smoothly and efficiently.

Responsibilities

  • Own end-to-end planning and execution of cross-functional programs across R&D, IT, and Security
  • Build and maintain 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 them to resolution and escalate proactively to keep programs on track
  • Track KPIs for R&D quality and efficiency, and present insights to company leadership to drive data-informed decisions
  • 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)
  • Well organized, able to prioritize and manage several concurrent work teams and raise the right flags when needed across different management teams
  • Solid technical background, including APIs, system integrations, and architecture docs
  • 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, frequent use of modern AI tools (Anthropic, OpenAI, and similar) in real working contexts and a habit of reaching for them first when tackling new problems

Nice to have

  • Cybersecurity background, on-prem and networking knowledge, experience with technology integrations (APIs, third-party tools), or a BA/BSc in Computer Science, Engineering, or a related field