דרושים » תוכנה » AI Engineering Team Lead

We are seeking an Engineering Team Lead to join our R&D organization, reporting directly to the Senior Director of R&D. This role is ideal for a hands-on technical leader who thrives at the intersection of backend engineering and product, building and evolving core Engine pipelines that transform research, data, and models into reliable, scalable, production-grade customer-facing capabilities.
Responsibilities:
Lead & Mentor a team of Backend Software Engineers.
Own the design, development, and delivery of core backend systems and services.
Ensure Engineering excellence in all aspects of infrastructure, deployment, monitoring, and stability.
Own critical services, APIs, data flows, and complex business logic.
Design and operate backend systems that support ML and LLM-powered components, including model inference pipelines, orchestration, configuration management, and integration with data and research workflows.
Collaborate closely with Product, Research, and Platform teams to translate business and product requirements into robust technical solutions.
Drive efficiency and scalability through thoughtful system design, automation, and AI-assisted development tools when appropriate.
Foster a culture of ownership, technical excellence, collaboration, and continuous improvement within the team.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across 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 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.

Required Software Engineering Team Lead
Were looking for driven and talented people like you to join our Sales team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights:
High-growth: Over the past six years, weve consistently achieved milestones that take other companies a decade or more. During this time, weve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
Disruptive innovation: Our founders saw that traditional security didnt work for the cloud so they set out to carve a new path. Were relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
Well-capitalized: With a valuation of $1.8 billion, we are a cybersecurity unicorn dominating the cloud security space. Were backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the Role:
As a Team Lead on the Data Platform, youll guide one of our most strategic engineering groups - the team building and evolving the core data ingestion and processing infrastructure that powers our entire platform. Handling billions of cloud signals daily, the team ensures scalability, reliability, and efficiency across our architecture.
Youll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, youll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.
Were looking for an experienced Team Leader eager to make a foundational impact on our next-generation cloud security data platform.
Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.
What Youll Do:
Lead, mentor, and develop a team of senior software engineers through one-on-ones, feedback, and technical guidance
Own and drive the delivery of high-impact projects end-to-end, from design through deployment and production monitoring
Design and review architecture for large-scale distributed systems focused on data ingestion, normalization, and availability
Collaborate cross-functionally with Product, SRE, and other R&D teams to define priorities, interfaces, and success metrics
Ensure the reliability, scalability, and observability of core services, introducing SLOs and best practices for operations
Participate in incident management, postmortems, and continuous improvement initiatives
Foster a culture of technical excellence and accountability within the team
Write and review clean, maintainable, and tested, take part of the on-call rotation.

Required Engineering Team Lead
We deliver the industrys only platform that seamlessly unifies customer identity and fraud prevention, covering identity management, verification, and fraud protection. We serve leading consumer-facing industries, from banking and fintech to e-commerce and gaming.
Our R&D teams design and build advanced, cross-platform SaaS solutions that power our identity platform, developing large-scale, distributed systems that process hundreds of millions of daily interactions with cutting-edge data and AI technologies.
About the Role:
Youll lead a talented team of engineers working across multiple technology stacks, driving innovative solutions that shape the future of digital identity and customer trust.
What Youll Do:
Lead a talented team of engineers, mentor and grow them.
Drive the design, architecture, and delivery of complex SaaS features - across backend, web, and mobile.
Collaborate with Product, UX, and Data Science to deliver impact.
Oversee production systems in high-scale, mission-critical environments.
Champion best practices and foster a can-do engineering culture.

we are looking for a seasoned and hands-on Unity Tech Lead to drive technical excellence across our mobile gaming organization. This is a highly strategic role at the intersection of game development, data & analytics, live-ops, tooling, and ML-driven systems.You will act as a technical authority and multiplier-setting direction, raising engineering standards, and enabling teams to build scalable, high-quality, and high-performing games using Unity as the core platform.
Play a key role in shaping a growing gaming division, with real influence on strategy, culture, and player experience.
Work at the intersection of game development, data, ML, graphics, and tooling, solving complex, high-impact problems.
Collaborate with top-tier talent across engineering, design, analytics, and operations in a fast-moving, supportive environment.
What you'll be doing
Lead and influence technical decisions across multiple engineering teams and studios, spanning game development, internal tools, live-ops, and operational systems.
Partner closely with engineering managers and developers to execute the technical vision and roadmap for games portfolio, ensuring high-quality visuals, performant code, and engaging player experiences on mobile.
Oversee client analytics and configuration infrastructure: build and maintain reliable, scalable systems that feed game design, live-ops, user-engagement, monetization, and business decisions.
Work with machine learning and data science teams to design and operationalize models for player behavior prediction, personalization, content generation, and monetization optimization.
Champion internal tooling and operational excellence-from CI/CD pipelines and build systems to live-ops dashboards, monitoring/observability, and developer productivity tools.
Collaborate deeply with product, design, art, engineering, operations, marketing, and business teams to align on goals, metrics, and delivery.
Mentor senior and mid-level engineers, contribute to hiring and growth programs, and help build a strong, scalable engineering culture with high standards.
Define and track KPIs across game performance, live-ops health, retention and monetization, platform stability, tooling adoption, and team productivity.
Stay on top of trends in Unity, real-time 3D/graphics, mobile performance, ML/AI in games, and data-driven live-ops-and translate them into actionable strategy.

We are seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization. In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.
You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.
Responsibilities:
Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. 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 data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives 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.
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

It starts with you - ML Engineering Team Lead responsible for leading a team delivering end-to-end ML systems. This role combines people management with ownership of model training, evaluation, deployment, and ML platform standards
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you. :
: Responsibilities
Lead and mentor ML Engineers delivering production ML systems.
Own technical direction for model architectures, training pipelines, and evals.
Review designs and code; ensure scalability, reliability, and data quality.
Define standards for experimentation, reproducibility, and monitoring.
Partner with product and platform teams on roadmap and prioritization.
Balance hands-on technical contribution with people management.
Build a culture of measurement, rigor, and continuous improvement.

We are looking for an Engineering Manager to lead the evolution of our engineering foundations - across both frontend and backend domains.
This role blends technical leadership, team management, and strategic impact. Youll guide a multidisciplinary team responsible for developer experience, infrastructure, and governance across the R&D organization.
The teams mission is to increase developer velocity, ensure product quality, and strengthen engineering consistency across all our products - from web applications to backend microservices.
While the team spans both domains, we are looking for someone that has a stronger orientation toward frontend and web infrastructure - UI frameworks, build systems, shared component libraries, and developer tooling.
What Youll Do:
Technical & Strategic Leadership
Define and own the vision and roadmap for our development platform, including web, backend, and AI-enablement initiatives.
Partner with engineering leadership, architects, and product teams to remove friction and increase velocity across R&D.
Establish and govern engineering standards, testing practices, and secure development workflows.
Lead the evolution of our shared frameworks, build systems, and developer tools for scalability and security.
Frontend & Web Infrastructure
Own and evolve the UI development ecosystem, including build systems, testing frameworks, and local development experiences.
Govern our shared UI kit and design system, ensuring consistency, accessibility, and performance across all products.
Partner with UX and product engineers to create a cohesive, maintainable frontend foundation.
Backend & Microservices Infrastructure
Oversee and guide the microservices development framework, templates, and communication patterns.
Optimize monorepo builds, CI/CD pipelines, and runtime standards for efficiency, reliability, and observability.
Implement infrastructure-level protections that improve product quality and prevent regressions.
AI Enablement Across R&D
Champion and integrate AI-assisted development tools (code generation, code review, testing, documentation).
Define patterns and best practices for AI-driven workflows, enabling teams to move faster with higher quality.
Partner with data, DevOps, and product teams to explore how AI can optimize engineering processes and infrastructure.
People & Collaboration
Lead, mentor, and grow a cross-functional team of backend, frontend, and platform engineers.
Foster a culture of technical excellence, innovation, and continuous improvement.
Collaborate closely with Product, UX, Security, and DevOps leaders to align strategy and execution.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
:Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.