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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
25,000-35,000 ₪
As a Technical Program Manager (TPM) in the R&D PMO team. You will bridge the gap between large-scale organizational architecture and processes and modern, automated execution. You will be responsible for designing, implementing, and scaling critical cross-functional processes-such as R&D planning, dependency tracking, and operational governance-across multiple engineering and product divisions. You are proactive leader and an AI-fluent builder. You will lead complex stakeholder alignment across different groups, but you will also actively leverage AI workflows, low-code automations, and modern tooling integrations to bake your processes directly into our R&D environment. Your goal is to deliver operational solutions while permanently eliminating manual "administrative tax" for our developers.
Your Impact
Architect Cross-R&D Operating Models: Lead the end-to-end design, rollout, and optimization of massive cross-functional frameworks (e.g., quarterly/annual planning cadences, execution governance, and cross-team dependency mapping) aligning cross R&D teams with core business priorities.
Drive Stakeholder Alignment & Change Management: Serve as the central pivot across Engineering and Product functions. Navigate conflicting priorities, build high-trust alignment, and coach diverse teams through organizational changes.
Programmatic Process Automation: Actively explore, prototype, and implement smart tooling, API integrations, and AI-driven workflows to automate data aggregation, status tracking, and reporting-ensuring operational consistency without sacrificing developer velocity.
Optimize R&D Effectiveness: Mine and analyze R&D delivery metrics, telemetry, and performance data to identify systemic friction points. Deploy scalable engineering-adjacent solutions rather than adding manual check-ins or status meetings.
Your Impact
Architect Cross-R&D Operating Models: Lead the end-to-end design, rollout, and optimization of massive cross-functional frameworks (e.g., quarterly/annual planning cadences, execution governance, and cross-team dependency mapping) aligning cross R&D teams with core business priorities.
Drive Stakeholder Alignment & Change Management: Serve as the central pivot across Engineering and Product functions. Navigate conflicting priorities, build high-trust alignment, and coach diverse teams through organizational changes.
Programmatic Process Automation: Actively explore, prototype, and implement smart tooling, API integrations, and AI-driven workflows to automate data aggregation, status tracking, and reporting-ensuring operational consistency without sacrificing developer velocity.
Optimize R&D Effectiveness: Mine and analyze R&D delivery metrics, telemetry, and performance data to identify systemic friction points. Deploy scalable engineering-adjacent solutions rather than adding manual check-ins or status meetings.
Requirements:
Your Experience
3+ years experience working as a Program Manager in an R&D organization in a SaaS company.
Engineering degree
Workflow Automation & Integration: Hands-on experience configuring or building automated workflows using tools like Jira Automation, APIs, low-code/no-code integration platforms, or modern enterprise management ecosystems.
AI & LLM Fluency: Proven ability to leverage AI-first environments and tools (such as prompt engineering, agentic workflows, or LLM-assisted coding) to automate operational tracking, synthesize data, and streamline communication.
Data & Analytics Literacy: Solid proficiency in querying, manipulating, and analyzing complex datasets (e.g., intermediate SQL, Python, or BI tooling like Tableau/Looker) to build live data dashboards and extract actionable engineering insights.
Domain Context: Strong understanding of the modern SaaS product development lifecycle, CI/CD pipelines, and the operational realities of working within a cybersecurity or high-scale cloud environment.
Large-Scale Process Design: A proven track record of designing, negotiating, and successfully implementing core organizational processes impacting large engineering organizations (150+ people).
Influence Without Authority: Exceptional interpersonal, presentation, and leadership skills with a demonstrated ability to gain buy-in from skeptical or resistant engineering directors and executive stakeholders.
Pragmatic Problem Solving: A data-driven analytical mindset combined with a highly adaptable, creative approach to overcoming operational bottlenecks. You default to solving problems through system engineering rather than policy enforcement.
Your Experience
3+ years experience working as a Program Manager in an R&D organization in a SaaS company.
Engineering degree
Workflow Automation & Integration: Hands-on experience configuring or building automated workflows using tools like Jira Automation, APIs, low-code/no-code integration platforms, or modern enterprise management ecosystems.
AI & LLM Fluency: Proven ability to leverage AI-first environments and tools (such as prompt engineering, agentic workflows, or LLM-assisted coding) to automate operational tracking, synthesize data, and streamline communication.
Data & Analytics Literacy: Solid proficiency in querying, manipulating, and analyzing complex datasets (e.g., intermediate SQL, Python, or BI tooling like Tableau/Looker) to build live data dashboards and extract actionable engineering insights.
Domain Context: Strong understanding of the modern SaaS product development lifecycle, CI/CD pipelines, and the operational realities of working within a cybersecurity or high-scale cloud environment.
Large-Scale Process Design: A proven track record of designing, negotiating, and successfully implementing core organizational processes impacting large engineering organizations (150+ people).
Influence Without Authority: Exceptional interpersonal, presentation, and leadership skills with a demonstrated ability to gain buy-in from skeptical or resistant engineering directors and executive stakeholders.
Pragmatic Problem Solving: A data-driven analytical mindset combined with a highly adaptable, creative approach to overcoming operational bottlenecks. You default to solving problems through system engineering rather than policy enforcement.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
