דרושים » תוכנה » Program Manager

We are seeking a Technical Project Manager with a software development background to lead complex, cross-domain business projects. This role is designed for someone with strong engineering background who transitioned into project management and can combine technical depth with strong delivery skills. You will work closely with Product Managers, Solution Architects, and R&D leaders to orchestrate initiatives that span multiple domains, ensuring alignment between business objectives and technical execution.
Key Responsibilities:
Business Project Leadership: Lead end-to-end delivery of cross-domain projects involving Product, Architecture, R&D, and Solution teams.
Technical Insight: Use your development background to understand solutions in depth, anticipate dependencies, and support technical decision-making.
Cross-Functional Collaboration: Partner with Product, Architects, R&D, PS, DevOps, IT, and Security to align priorities and coordinate execution.
Execution Frameworks: Build and manage project plans, quarterly planning processes, and delivery frameworks that ensure predictability and efficiency.
Process Improvement: Define and implement governance models, reporting standards, and continuous improvement practices.
Risk & Issue Management: Identify risks across technical and business domains, implement mitigation strategies, and lead task forces when issues arise.
Communication: Act as a bridge between executives, product stakeholders, and delivery teams, providing clear and transparent updates.
Stakeholder Management: Manage relationships across multiple integration points, ensuring alignment between business goals and technical solutions.

we are seeking a highly technical program manager to join the execution program management team. in this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals.you will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. what will your job look like:
lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
monitor progress and proactively drive issue resolution to maintain predictable delivery.
define, track, and analyze execution kpis.
identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
drive transparency, accountability, and operational rigor across stakeholders.
engage directly with development artifacts, including:
- reading and reviewing code.
- running scripts and pipelines (e.g., Python, bash).
- analyzing logs and outputs.
- supporting debugging and validation tracking.
- help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

job description
plan project activities along with dependences and significant milestones
establish needed processes to support the project goals and lifecycle
track project execution, navigating it to accomplish its deliverables and goals
maintain visibility and transparency of all project aspect to all relevant stakeholders, as well as track projects kpis and metrics
identify, manage and track risks and dependencies
escalate and track impediments
encourage collaboration between teams and other stakeholders
work with the project management office (pmo) on projects execution and operational excellence
data driven decisioning mindset qualifications
a b.sc. in Computer Science or a related discipline
at least 7-10 years of previous as r&d technical project management experience in an international software development organization
demonstrated experience working in an agile development organization, preferably at scale
understanding of all software development life cycle and ability to clearly convey messages and statuses. you should feel equally comfortable discussing technical details with engineers as well as executive summary recaps with management
outstanding analytical, and problem-solving abilities, along with an ability to collaborate cross-functionally
can do attitude mindset, ability to push projects through
detail-oriented perspective be focused, reliable and highly organize
proficiency in english, both written and spoken
advantages:
experience in pmi (post-merger integration)
an mba or m.sc
pmi/pmp certification
hands-on experience with confluence, aha!, jira, monday and BI tools
technical experience and knowledge of cyberark products or Cyber security solutions and technologies