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לפני 7 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.
Requirements:
At least 10 years in sw and a minimum of 5+ years in an engineering leadership role, including managing team leads in large groups (20+ )
Proven background as a Full-Stack Developer with a strong, hands-on command of both frontend and backend development.
Deep understanding and practical experience with modern system architecture (e.g., microservices, distributed systems).
Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and CI/CD pipelines.
Strong product sense and the proven ability to translate product vision into a viable technology strategy.
Excellent communication skills, demonstrating the ability to work effectively across all functions.
Proven ability to successfully recruit, develop, and retain top engineering talent.
Bachelors or Masters degree from a leading university in Computer Science, Engineering, or a related field
Preferred Skills (Nice to Have):
Prior experience with Software as a Service (SaaS) platforms targeting Small to Medium Businesses (SMBs) or independent Professionals.
Background in productionizing Machine Learning or AI models, with specific experience in areas like computer vision or image processing.
This position is open to all candidates.
 
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לפני 13 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
As Vice President of Engineering, Cloud Security, you will lead the engineering organization responsible for proactive & runtime cloud infrastructure protection. This is a highly visible and strategic role, responsible for shaping the technical vision, execution, and talent strategy for cloud security product line. Cloud Security is a growing investment for us, as customers are operating in multi-cloud environments.

You will lead teams building high-performance, cloud-native security capabilities that operate at massive scale - leveraging deep system telemetry, runtime signals, and platform internals to protect customer workloads across modern cloud environments.

What Youll Do:
Own the engineering strategy and roadmap for cloud security proactive & runtime protection across cloud providers, Container Security, serverless.
Lead development of innovative, low-latency security solutions that process data from millions of deployed sensors operating in highly sensitive environments.
Drive deep technical work across:

Cloud provider coverage, from assets to advanced risks, and attack paths
Containers, functions, and modern cloud-native assets
Kubernetes internals and orchestration
Runtime detection, telemetry, and threat prevention
Partner closely with Product Management to translate customer and market needs into scalable, high-impact security capabilities.
Build, mentor, and retain world-class engineering teams, including senior technical leaders and emerging talent.
Establish a strong engineering culture centered on technical excellence, quality, security, performance, and operational rigor.
Collaborate cross-functionally with Engineering peers, Product, Sales, and Customer-facing teams to ensure product success and adoption.
Play a key role in organizational growth through hiring strategy, team structure, and leadership development.
Communicate effectively in a remote-first environment, ensuring alignment and velocity across globally distributed teams.
Represent Cloud Security Engineering at the executive level, articulating strategy, tradeoffs, and progress to senior leadership.
Requirements:
What Youll Need:
Proven experience leading large, distributed engineering organizations, including both senior and junior engineers.
Strong technical background deeply in systems-level languages such as Golang, C/C++, or equivalent.
Strong technical background in managing at scale data centric solutions.
15+ years of software engineering experience across the full software development lifecycle, with significant time in distributed systems.
Demonstrated success building and scaling high-performing engineering teams in fast-growing environments.
Deep understanding of:

Distributed systems and performance-critical architectures
Kubernetes and its role in modern cloud computing
Cloud-native application design and deployment
Familiarity with cloud security concepts, including runtime protection and threat detection.
Strong design, problem-solving, and architectural skills, with a passion for engineering excellence and secure-by-design systems.
Excellent cross-functional collaboration skills, working with engineering, product, support, and go-to-market teams.
Experience leading remote-first teams while maintaining execution speed and engineering quality.
Ability to communicate clearly and persuasively at all levels - from executive leadership to hands-on engineers.

Bonus Points:
Deep expertise in at least one major cloud platform (AWS, Azure, or GCP).
Experience operating in hybrid or multi-cloud environments.
Familiarity with modern Linux internals and technologies such as eBPF.
Experience with or exposure to cybersecurity, threat intelligence, or security research.
Background in machine learning or data science, particularly as applied to large-scale detection systems.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Engineering Manager - Collection Engineering (Data Protection Team)
What Are We Looking For?
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 an Engineering Manager you will be responsible to build and lead a new team focused on next-generation Data Protection capabilities. This is a high-impact, hands-on role requiring strong technical leadership across multiple domains, alongside people management and product vision. You will define the technical direction, contribute to building initial components, and establish a high-performing, cross-functional team. This role offers the opportunity to shape both the product and team from the ground up.
What will you Do?
Build and Lead the Team: Recruit, mentor, and manage a team of 3-6 engineers, fostering a culture of technical excellence, accountability, and innovation.
Drive Full-Stack Technical Delivery: Own the end-to-end architecture and technical design for the entire product stack. From the creation of low-level agent components to the web application controlling it, and overseeing the delivery of the entire product ecosystem.
Product & Cross-Functional Partnership: Collaborate closely with Product Management, UX Design, and multiple R&D teams to translate high-level and long-term vision into an executable product roadmap and technical specifications.
Requirements:
8+ years of hands-on software engineering experience with significant contributions across multiple technologies.
Experience leading software development teams, with a track record of successfully shipping new products.
Deep Technical Expertise (at least one required):
Low-Level Programming: Proven experience with Rust\C++\C and security agents, or performance-critical application development.
Backend Proficiency: Strong experience with high-scale backend development using Python or Go, including designing and deploying cloud-native architectures (AWS, GCP), containerization (Docker, Kubernetes), and modern data technologies (Kafka, PostgreSQL/NoSQL).
Ability to manage a cross-functional feature team, low-level (Rust\C++), Backend (Python\Go), and Frontend (React, TypeScript).
Product Orientation: A strong sense of responsibility, ownership, and get things done mindset, thriving in an ambiguous, fast-paced environment.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across Stamplis B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.

This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.

What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across our products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.
Requirements:
7+ years of experience as a Backend Developer / Data Engineer / ML Engineer.
3+ years in a technical leadership role.
Python (Java as an advantage).
Bachelors degree in Computer Science or related STEM field (Masters preferred).
Proven track record of building and deploying AI-based solutions at scale.
Deep expertise with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch).
Strong background in system design, cloud-native architecture, and microservices.
Experience with NoSQL and real-time data processing pipelines.
Exceptional leadership, mentorship, and communication skills.
Strategic mindset with the ability to balance hands-on coding and team leadership.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking an experienced Director of Engineering to lead and scale our software, QA, DevOps, and IT groups in a leading AI startup. This role combines strong people leadership, ownership of execution, and deep technical understanding of production-grade systems.
You will manage engineering managers, drive delivery excellence, and ensure alignment between R&D strategy and business priorities.

Responsibilities:

Lead two engineering groups: IT & DevOps and Software & QA
Manage and develop engineering managers and team leads
Own execution, delivery, quality, and operational excellence across all engineering domains
Drive scalable engineering processes, methodologies, and best practices
Partner closely with Product, Algorithms, Data, Security, and Business stakeholders
Ensure production stability, CI/CD excellence, system reliability, and security
Lead capacity planning, hiring, onboarding, and performance management
Translate high-level strategy into execution plans and measurable outcomes
Foster a culture of ownership, accountability, and continuous improvement
Support architectural and design discussions when needed (hands-on leadership mindset)
Requirements:
10+ years of experience in software engineering.
5+ years in engineering leadership roles (Group Lead / Director / R&D Manager).
Proven experience managing managers.
Strong background in backend / distributed systems/cloud environments.
Experience working with DevOps, CI/CD, production systems, and scalability.
Excellent understanding of software development lifecycle and quality processes.
BSc in Computer Science / Engineering or equivalent.
Strong communication, stakeholder management, and leadership skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an experienced and passionate Data Group Tech Lead, Staff Engineer to join our Data Platform group. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives us toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.
דרישות:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions
Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQ המשרה מיועדת לנשים ולגברים כאחד.
 
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26/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
our company is at the forefront of the ai revolution, delivering latest accelerated compute platforms for global impact. our networking research group is seeking a forward-thinking engineering manager with a product leadership approach to manage a team of software engineers, ai agent developers, and researchers.
in this role, you will bridge the gap between brand-new ai research and practical engineering. you will lead the charge in integrating autonomous ai agents into the daily workflows of our architects, hardware designers, and researchers. you will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using nvidias ai stack.
what you'll be doing:
team leadership & strategy: lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.
product engineering: partner with internal engineering teams (hardware, architecture, research) to analyze their workflows, identify friction points, and architect agentic ai solutions to accelerate their work.
applied research: actively monitor the latest ai trends, academic papers, and technical blogs (llms, agents, rag). translate these insights into concrete features and tools for the team.
agent architecture: be responsible for the design of scalable frameworks for ai agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.
sw-focused mlops: define and implement the software lifecycle for ai models - from fine-tuning to deployment - utilizing our ai deployment tools and ensuring seamless ci/cd.
production deployment: ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.
Requirements:
what we need to see:
msc or ph.d. or equivalent experience in Computer Science, computer engineering, or a related field.
8+ overall years of hands-on experience in software engineering, with a proven track record of leading or mentoring technical teams.
3+ years of managerial experience.
tech stack: expert-level proficiency in Python, with strong familiarity with modern ai frameworks (pytorch, langchain, llamaindex).
research to production: a proven ability to digest complex technical literature (papers, blogs) and implement those concepts in a working software product.
product management approach: experience in requirements gathering, user research, or internal tool development.
operational excellence: proven understanding of modern ci/cd, containerization (docker/kubernetes), and mlops standards on the software stack side.
ways to stand out from the crowd:
domain hybrid: deep background in both ai/ml and high-performance computing (hpc) systems.
agentic experience: hands-on experience building autonomous agents that interact with external tools or apis.
internal tools: prior experience building Developer platforms or productivity tools for engineering organizations.
This position is open to all candidates.
 
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5 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an experienced Director of Software to lead our full-stack engineering teams and own the strategy, architecture, and delivery of our web platform. Youll set technical direction (front end and back end), scale microservices, and coach high-performing teams shipping secure, reliable, and beautiful web experiences.
A day in the life and how youll make an impact:
Lead & grow teams: Manage, mentor, and hire full-stack squads (TLs, and ICs). Drive career development, 1:1s, and performance culture.
Set architecture: Define a modern Angular front-end architecture and Node.js/TypeScript back end across microservices (APIs, gateways, shared libraries).
Own the roadmap: Partner with Product/Design to prioritize outcomes; translate business goals into engineering plans with measurable impact.
Raise the bar: Establish coding standards, design reviews, and SDLC best practices (testing, CI/CD, trunk-based development).
Operational excellence: Own availability, latency, and cost KPIs; implement observability (logs, metrics, traces) and incident response.
Security & compliance: Champion secure coding, authN/Z, data privacy, and dependency governance.
Quality at scale: Drive test strategy (unit/integration/e2e), performance budgets, accessibility, and responsive UX standards.
Technical sponsor: Guide system design (caching, queues, messaging, data contracts), decompose monoliths, and oversee migrations.
Stakeholder management: Communicate trade-offs and delivery plans to execs; align cross-functionally with Data and Infra.
Requirements:
10+ years in software engineering with 5+ years leading managers and/or multiple teams.
Startup at scale experience- success leading web platforms in startup or scale-up environments.
Deep, recent experience with Angular (signals/standalone components preferred) and Node.js/TypeScript services.
Proven track record designing and operating microservices in production (API design, service discovery, resiliency patterns, rate limiting).
Strong foundation in cloud (AWS/GCP/Azure), containers (Docker), and Kubernetes; CI/CD (GitHub Actions/GitLab/Jenkins).
Experience building performant, accessible SPAs; mastery of web performance profiling and optimization.
Data & integration fluency: REST/GraphQL, event streaming (Kafka/Pub/Sub), relational + document stores.
Excellent people leadership, hiring, and coaching skills; history of building inclusive, high-trust teams.
Clear communication with executives; comfortable with metrics, OKRs, and ROI framing.
Experience collaborating with algorithms and ML groups - advantage.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
6+ years of hands-on software development experience.
At least 2-3 years of experience managing engineering teams or multiple teams.
Experience with building teams - recruitments, mentorships, and building personal plans for the people.
Proven experience delivering complex full-stack SaaS applications, large-scale distributed systems.
Strong understanding of system architecture, cloud infrastructure, databases, security, and DevOps practices.
Strong understanding of front-end and backend development, system architecture, databases, security, and DevOps practices.
Experience working in Agile/Scrum environments and leading teams in fast-paced, high-growth settings.
Ability to balance hands-on technical involvement with people management and execution.
Strong communication skills and ability to work cross-functionally with product, operations, and other stakeholders.
Full professional proficiency in English.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.
Requirements:
Experience: 5-10 years of experience in data science or machine learning roles, with 3+ years of experience in people management.
Technical Proficiency: Expert proficiency in SQL and Python. You must be capable of writing and reviewing production-grade code and have hands-on experience with cloud environments (GCP, AWS, Databricks).
Modeling Expertise: Strong background in Classical ML, Deep Learning, and familiarity with Generative AI (LLMs, Multimodal embeddings, Langchain or like technologies).
Engineering Mindset: Proven ability to bridge the gap between Research and Engineering. Experience deploying models to production and maintaining them is essential.
Education: Masters degree in Computer Science, Math, Statistics, or a related quantitative field; a PhD is strongly preferred.
Preferred Qualifications
Experience in the mobile gaming industry or high-velocity B2C tech environments.
Passion for gaming and experience playing various game genres.
Familiarity with modern data platforms (e.g., Vertex AI, Cloud Run, Sage).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8600395
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for an SVP of Engineering to scale our AI-powered platform and deliver products that protect millions of customers worldwide.
You'll lead our global engineering and data science organization as we build the future of insurance, where cutting-edge AI meets human-centered design. This role sits on our executive team and reports directly to our Chief Product Officer, driving technology decisions that create real customer value.
We believe two things matter for every leadership role: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
In this role you'll
Build and execute a technology strategy that turns vision into scalable, secure platforms customers love
Lead and mentor senior engineering leaders while fostering a culture where speed meets quality
Translate product roadmaps into multi-year engineering plans that balance innovation, reliability, and cost
Oversee complex delivery across software, data, AI/ML, and infrastructure - always with product outcomes in mind
Drive talent strategy for engineering teams, from hiring plans to performance management and retention
Represent engineering in executive discussions, communicating progress and trade-offs to drive smart decisions.
Requirements:
Adaptability, drive, and an efficiency mindset - we believe these matter most in human-AI collaboration
15+ years in engineering leadership, including executive experience running large engineering functions
Track record delivering large-scale, multi-product platforms with measurable business impact
Deep expertise in software architecture, data systems, AI/ML workflows, security, and reliability
Strong people leadership and executive presence with proven cross-functional collaboration skills
Experience with modern engineering practices: Agile/Lean, CI/CD, cloud ecosystems, observability
Data-driven approach to decision making with focus on quantified outcomes and customer value
Educational degree in Computer Science, Engineering, or related field (or equivalent experience)
Ready to work in an office environment most days of the week.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8594938
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שירות זה פתוח ללקוחות VIP בלבד