לוח משרות דרושים ניהול תוכנה משרה מלאה, לחיפוש זה נמצאו 111 משרות

The Recording Engineering group is looking for a strong Lead Program Manager to join its leadership team and drive execution excellence across our global organization. This is a strategic role focused on leading complex cross-functional programs, improving operational discipline, managing budget planning and tracking, and increasing engineering productivity. The role requires strong technical understanding, excellent execution skills, and the ability to turn leadership decisions into clear plans and measurable outcomes.
A key part of the role will be to introduce better ways of working using AI tools, AI agents, automation, dashboards, and data-driven insights to improve visibility, reduce manual work, identify risks earlier, track costs, and increase team efficiency.You will work closely with Engineering managers, Architects, Product managers, QA leads, DevOps, Support, Finance, Cloud Operations, and senior leadership.
How will you make an impact?
Own group-level execution, planning, tracking, budget planning, and operational governance.
Track group budget, identify gaps, and support cost control decisions.
Monitor cloud costs, identify optimization opportunities, and drive cloud cost-saving initiatives.
Translate leadership decisions into clear actions and drive follow-up across teams.
Lead complex cross-functional programs across Engineering, Product, QA, Architecture, DevOps, Finance, Cloud Operations, and Support.
Manage program scope, timeline, quality, risks, dependencies, and readiness.
Build clear dashboards and KPIs to improve visibility for leadership, including execution, budget, cloud cost, and efficiency metrics.
Use AI tools and AI agents to automate routine activities, improve reporting, identify risks, support cost analysis, and streamline workflows.
Drive productivity and efficiency improvements across the group.
Improve Agile, DevOps, release readiness, and execution processes.
Synchronize teams across sites to support releases, commitments, and major initiatives.
Lead retrospectives and continuous improvement based on data and team feedback.

Required Head of Technology and Architecture
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
The Director of Technology and Architecture owns the technical vision that holds this portfolio together. The mandate is to ensure that a wide-ranging set of products remains coherent, secure, scalable, and economical to build and operate regardless of where and how it is deployed. This is a hands-on leadership role at the intersection of deep technical authority and enterprise strategy: you will set architectural direction, resolve the hardest cross-cutting trade-offs, and raise the engineering bar across the organization.
This is the most senior individual-contributor-plus-leadership technical role in the company. You will be a trusted advisor to the executive team and the final technical authority on architecture decisions that span products.
How will you make an impact?
Architectural Vision & Strategy:
Define and own the multi-year target architecture across the entire product suite, balancing product autonomy with shared platform leverage.
Establish an architecture strategy so that products can be delivered on-premise, in private cloud, in public cloud, or as pure cloud SaaS.
Drive the platform and shared-services strategy (identity, data, integration, observability, deployment tooling) that reduces fragmentation across products.
Help architects translate business and product strategy into technical roadmaps; advise the executive team on build-vs-buy, modernization, and major technology bets.
Design abstractions and packaging models that let a single product run reliably across heterogeneous environments with differing scale, network, data residency, and operational constraints.
Establish reference architectures and patterns for tenancy, configuration management, release/upgrade cadence, and feature parity across on-premise and cloud-hosted deployments.
Security, Compliance & Resilience:
Embed security, privacy, and regulatory compliance into the architecture by design - addressing the standards relevant to financial services (e.g., data protection, auditability, segregation, encryption, and regional data residency).
Define non-functional requirements and architectural guardrails for availability, disaster recovery, transactional integrity, performance, and observability appropriate to mission-critical financial systems.
Partner with Security, Risk, and Compliance leadership to ensure the architecture withstands audit and regulatory scrutiny across jurisdictions.
Governance & Standards:
Establish and run an architecture governance function: standards, decision records, review processes, and a technology radar - proportionate enough to enable speed rather than obstruct it.
Evaluate and select core technologies, platforms, and strategic vendors; own the long-term technology stack direction.

Were growing fast and looking for a talented and passionate Engineering Team Leader to join us!

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy:
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering:
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering:
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership:
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy:
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering:
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering:
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership:
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

Required Director of Engineering
So, whats the role all about?
The Director of Technology and Architecture owns the technical vision that holds this portfolio together. The mandate is to ensure that a wide-ranging set of products remains coherent, secure, scalable, and economical to build and operate regardless of where and how it is deployed. This is a hands-on leadership role at the intersection of deep technical authority and enterprise strategy: you will set architectural direction, resolve the hardest cross-cutting trade-offs, and raise the engineering bar across the organization.
This is the most senior individual-contributor-plus-leadership technical role in the company. You will be a trusted advisor to the executive team and the final technical authority on architecture decisions that span products.
How will you make an impact?
Architectural Vision & Strategy:
Define and own the multi-year target architecture across the entire product suite, balancing product autonomy with shared platform leverage.
Establish an architecture strategy so that products can be delivered on-premise, in private cloud, in public cloud, or as pure cloud SaaS.
Drive the platform and shared-services strategy (identity, data, integration, observability, deployment tooling) that reduces fragmentation across products.
Help architects translate business and product strategy into technical roadmaps; advise the executive team on build-vs-buy, modernization, and major technology bets.
Design abstractions and packaging models that let a single product run reliably across heterogeneous environments with differing scale, network, data residency, and operational constraints.
Establish reference architectures and patterns for tenancy, configuration management, release/upgrade cadence, and feature parity across on-premise and cloud-hosted deployments.
Security, Compliance & Resilience:
Embed security, privacy, and regulatory compliance into the architecture by design - addressing the standards relevant to financial services (e.g., data protection, auditability, segregation, encryption, and regional data residency).
Define non-functional requirements and architectural guardrails for availability, disaster recovery, transactional integrity, performance, and observability appropriate to mission-critical financial systems.
Partner with Security, Risk, and Compliance leadership to ensure the architecture withstands audit and regulatory scrutiny across jurisdictions.

Required Software Engineer, ML (Technical Leadership)
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations
Identify and Initiate New Business Opportunities: - Collaborate with our FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

A leading and innovative company in the field of cyber threat intelligence is looking for an experienced Engineering Group Leader to join the executive team and lead the technological development efforts. The role includes managing and building full-stack engineering teams, overseeing architecture and product development, recruiting engineers, defining development processes and technology standards, and driving a tech strategy that supports the companys growth and business goals.
What Youll Be Doing:
Lead and manage multiple engineering teams, including team leads and senior engineers.
Mentor, coach, and develop engineers and engineering leaders, fostering a strong growth-oriented culture.
Take end-to-end ownership of delivery, quality, and reliability for your groups products and services.
Translate high-level engineering and product strategy into clear execution plans and milestones.
Collaborate closely with Product Management to plan roadmaps, prioritize work, and align on scope and delivery.
Participate in architectural discussions and contribute to technical and design decisions.
Implement, maintain, and continuously improve development processes (Agile/Scrum).
Play an active role in hiring, onboarding, and retaining top engineering talent.
Work closely with other engineering managers and senior leadership to ensure alignment across teams and domains.

We are seeking an innovative, AI-first Technical Writer to lead, empower, and scale our technical documentation team. Reporting directly to the VP of Product Management, you will drive the vision and execution for end-to-end technical content across our enterprise product line while leveraging AI technology to automate and streamline the technical writing workflow.

What you'll do:

Drive AI Process Automation: Pioneer an AI-first culture by identifying, evaluating, and integrating AI tools and LLM workflows into the technical writing lifecycle to automate content creation, updates, and localization.
Lead & Manage: Mentor, hire, and manage a team of technical writers, fostering a collaborative, continuous-learning, and accountability-driven culture.
Strategic Alignment: Work closely with the VP of Product Management, Engineering teams, and Product Operations to ensure documentation roadmaps seamlessly align with product releases.
Quality & Governance: Establish clear standards, AI usage guidelines, and editorial processes to ensure high technical accuracy, readability, and brand consistency.
Metrics & Optimization: Define success metrics for technical content (e.g., ticket deflection, search conversion, completion rates) to continually refine content quality and operational productivity.

We're looking for passionate, talented people who want to be part of a winning team. At our company, you'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you.
We are looking for a hands on Software Team Lead to manage and scale our engineering organization in Israel.

This role is responsible for the success, growth, and effectiveness of the engineering team while ensuring strong alignment with Product and business priorities.

The team already consists of experienced engineers, established products, and a mature technology stack. The focus of this role is not to build an engineering organization from scratch, but to help it scale effectively as the company continues to grow.

You will be responsible for developing engineers, improving execution, supporting technical decision making, expanding the team, and helping the organization successfully navigate the next phase of growth.

The ideal candidate combines strong people leadership, technical credibility, operational excellence, and a pragmatic approach to software delivery.
Engineering Leadership
Lead, mentor, and develop the engineering team through regular coaching, feedback, career development, and performance management.
Create an environment where engineers can perform at a high level, grow professionally, and take ownership of their work.
Support hiring efforts, interviewing, onboarding, and team expansion initiatives.
Help scale the Israeli R&D organization while maintaining strong engagement, motivation, and professional growth across the team.
Delivery & Execution
Partner closely with Product leadership to translate business goals and roadmap priorities into engineering execution plans.
Drive planning, prioritization, estimation, and delivery across multiple concurrent initiatives.
Ensure engineering commitments are delivered with high quality and predictable execution.
Identify risks, dependencies, and execution challenges early and drive solutions proactively.
Improve team effectiveness, development velocity, and operational efficiency as the organization grows.
Technical Leadership
Provide technical guidance across architecture, system design, and engineering best practices.
Participate in major architectural discussions and technical decision-making processes.
Support engineers through design reviews, code reviews, technical mentoring, and problem-solving.
Help balance short-term product needs with long-term scalability, maintainability, and platform health.
Partner with engineering teams to identify opportunities for improving reliability, performance, observability, and operational excellence.
Cross-Functional Leadership
Work closely with Product, QA, Design, Data Engineering, BI, and DevOps stakeholders to ensure successful delivery of company objectives.

we are looking for a Engineering Manager.
This is not just a managerial role- its a chance to lead a high-impact team building core products at scale. As Engineering Manager, youll be a technical leader, a team builder, and a strategic partner. Youll guide your team to deliver performance, scalable, and secure software solutions, while shaping culture, structure, and product direction. From technical design to org design, youll have a direct influence on how we work and what we build.
Youll work closely with Product, Architecture, and cross-functional teams to turn ambitious ideas into clean, production-ready code - while creating an environment where engineers grow, thrive, and do their best work.
Who You Are:
A collaborative leader who thrives on enabling others to succeed
Able to balance trust and autonomy with clear technical direction
Strategic, but not afraid to roll up your sleeves when needed
Calm, clear, and confident in a fast-paced, high-growth environment

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.
Key responsibilities:
Lead a team of data scientists, data engineers and product analysts
Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation
Drive excellence, code quality, and best development practices
Provide technical direction and hands-on guidance for complex AI systems
Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences
Ensure AI solutions are safe, scalable, observable, and continuously improving
Lead initiatives around product data analysis and experimentation
Analyze user interactions with product features to improve accuracy, UX, and business impact
Partner with product teams to define metrics, dashboards, and experiments that guide product improvements
Design system architectures for AI-enabled applications at scale
Evaluate and select technologies for AI platforms and data pipelines
Guide the development of prompt engineering frameworks and centralized prompt management
Ensure robust monitoring, evaluation, and feedback loops for AI outputs
Translate product and business goals into technical roadmaps and execution plans
Drive alignment between AI capabilities and measurable product outcomes.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of features from ideation to production within the Windows Endpoint Ecosystem (our flagship productline, recognized 6x in-a-row Gartner MQ Leader). You should be a leader who can explore, design, recommend, and drive innovative ideas from scratch, ensuring architectural excellence and a strong engineering culture.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production, within the Windows Endpoint Ecosystem (our flagship productline, recognized 6x in-a-row Gartner MQ Leader). You should be an experienced leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.

We are now seeking a highly motivated Software Verification Manager to join our Switching group, working on SONiC Network OS. In this role, you will manage SONiC Verification team that will develop automatic tests and lead Regression analysis for SONiC OS running over switches.

What youll be doing:

Lead and mentor SONiC Software verification team; set technical direction, define priorities, and grow team capabilities.

Design and implement robust, maintainable, and efficient automated test suite for SONiC OS which is an open-source NOS.

Lead regression analysis for SONiC NOS following regression automated tests.

Cross-functional work with SONiC Design teams, QA, architecture, FW/SDK/SAI/platform teams.