דרושים » הנדסה » ML Engineering Team Manager

Were hiring a ML Engineer to accelerate AI-driven innovation across our companys B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our companys product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Required Director R&D, Shopper Intelligence
Tel Aviv, Israel
We empower the worlds leading brands to win online. Our digital intelligence solutions offer unmatched visibility into the online world, enabling smarter, faster growth. A key part of this mission is the Shopper Intelligence solutionhelping eCommerce leaders unlock insights into digital shelf dynamics, pricing strategies, and shopper behavior across marketplaces and retailers.
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do:
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

Required Staff Engineer
The Campaign-Orchestration group is responsible for the reliable, scalable, and timely delivery of billions of personalized messages and campaigns across multiple channels (email, SMS, push, web, and more). As a Staff Engineer, you will be the technical lead and driving force behind the groups most complex initiatives. You will work closely with engineers, tech leads, architects, and product managers to solve high-scale distributed systems challenges, improve performance, and design robust, future-proof systems.
This role is ideal for experienced software architects and senior developers who are passionate about system architecture, performance at scale, and leading cross-team engineering efforts without formal management duties.
Key Responsibilities
Act as the technical authority for large-scale backend systems within the Execution group.
Gain deep understanding of the Orchestration groups services, the campaign targeting flow, and how the product works as a whole, in order to make architectural decisions in the broader product context.
Champion the groups strategic adoption of AI and Vibe Coding practices, becoming a key enabler for increasing developer efficiency through the use of cutting-edge AI development tools.
Lead the design and implementation of distributed, high-throughput, low-latency services that support billions of message executions monthly.
Partner with Engineering Managers and Architects to shape the groups long-term technical vision and architecture roadmap.
Define and enforce engineering standards and best practices across services.
Conduct in-depth design and code reviews, mentoring other engineers and elevating technical excellence.
Proactively identify cross-cutting concerns and drive group-wide engineering initiatives (e.g., observability, resiliency, fault tolerance).
Analyze and improve system bottlenecks in data flow, message queuing, storage, and processing pipelines.
Take ownership of non-functional requirements such as reliability, scalability, maintainability, and security.
Collaborate with Product and Data Science teams to ensure engineering plans align with business priorities.

We are looking for a passionate Computer Vision Software Team Leader who is excited to create, shape, and influence our products and company vision. As a Team Leader, youll deliver scalable, high-quality infrastructure that integrates AI models with complex application needs.
You will build fast, reliable, and efficient solutions on edge devices, as well as machine learning cloud-based systems and pipelines.
You will tackle technological challenges in performance and data scale, and uphold high standards for code quality and architecture.
Youll need both low-level and high-level expertise to address performance and AI challenges, while delivering robust features and infrastructure. You will continuously improve development processes, adopt new technologies, and help shape the future of retail through world-class AI solutions.
About The Role:
Lead the teams day-to-day activities, effectively managing priorities and navigating technical and organizational challenges.
Plan and coordinate work based on business goals estimate effort, set realistic timelines, and ensure timely delivery of high-quality results.
Design, develop, and deliver the next generation of features for our AI-driven solutions.
Conduct code and design reviews, evaluate implementations, and provide clear, constructive technical feedback.
Build and grow a high-performing team recruit, coach, mentor, and empower engineers to reach their full potential.
Collaborate cross-functionally with other teams to define and deliver features and initiatives that span across departments.
Foster a strong engineering culture by promoting best practices, high standards, and continuous improvement.

Join our AI & Innovation group as an AI Software Developer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.
Our group is building an ambitious, AI-powered product at the heart of our companys strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.
If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.
Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge.

We are looking for a Director of Engineering to lead our growing engineering team and help shape the future of AI security. As a key leader in our organization, you will drive the development and execution of our technical vision, ensuring that our platform continues to scale and innovate. You will not only oversee ongoing engineering operations but also play a pivotal role in building and structuring the engineering organization from the ground up, fostering a high-performance culture, and implementing best practices. Additionally, you will take ownership of the core aspects of product, driving the technical strategy and innovation required to develop and enhance its foundational capabilities.

Responsibilities

Lead and manage the engineering team, including hiring, mentoring, and developing engineers to maximize their potential and foster a culture of continuous improvement.
Develop and implement engineering strategies aligned with business goals, focusing on scalability, reliability, and innovation.
Oversee the entire software development lifecycle, ensuring timely delivery of high-quality products while adhering to best practices in architecture and coding.
Collaborate closely with product, design, and other cross-functional teams to align engineering efforts with business and product priorities.
Establish and maintain engineering standards, processes, and tools to increase team efficiency and ensure code quality.
Drive technical initiatives and innovations, staying up to date with industry trends and integrating relevant new technologies into technology stack.
Monitor and manage project timelines, budgets, and resources to meet company objectives and deliverables.
Act as a technical advisor to the leadership team, providing insights and recommendations based on technological expertise.

We are seeking a Senior Software Architect to lead and shape the architectural vision of our SaaS healthcare platform, guide the adoption of cutting-edge AI technologies, and ensure our solutions remain scalable, secure, and future-ready.
This is a hands-on, strategic leadership role that combines visionary system design, proof-of-concept development, and AI-first innovation enablement.
Responsibilities:
1. Architectural Leadership
Define, communicate, and evolve the platforms architectural vision to ensure alignment with business goals.
Lead high-level design discussions and decisions for new and existing products.
Establish and maintain architectural principles, standards, and patterns across all engineering teams to ensure consistency and coherence.
Drive cloud-native architecture in AWS with a strong focus on scalability, availability, performance, and cost efficiency.
2. Innovation & Emerging Technology
Build POCs and pilots for new solutions, frameworks, and AI capabilities.
Evaluate emerging trends in AI, LLMs, MCPs, agents, and developer productivity tools, ensuring strategic adoption where relevant.
Initiate projects/features to solve widespread problems (including work with Support, DevOps, Infosec)
3. AI Tooling Evangelism
Spearhead engineering-wide adoption of AI-assisted development workflows, including developer productivity tools, code copilots, automated quality checks, and automated documentation.
Define best practices, guidelines, and governance for AI usage in development (e.g., Cursor configuration rules, prompt engineering standards).
Educate and mentor teams on effective AI utilization for engineering, product, and operational tasks, taking into account security, costs, and compliance.
4. Technical Governance & Best Practices
Overall ownership of the system scalability, COGS, and stability of the Navina product(s)
Define standards for coding, testing, CI/CD, and monitoring.
Enforce architectural and design reviews for key initiatives.
5. Cross-functional Collaboration
Work closely with Engineering, Product, Data Science, DevOps, and Security teams to deliver well-architected solutions.
Communicate complex technical concepts to non-technical audiences, including executives and external partners.

We seek an experienced technical leader to head our MLOps team.

In this role, you will lead a team of developers and build and maintain our machine learning infrastructure and deployment pipelines. This role combines technical expertise in machine learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.


A day in the life and how youll make an impact:
Build, recruit, and lead a team of MLOps engineers.
Architect and implement enterprise-scale MLOps infrastructure
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
Design and optimize model-serving architectures.
Ensure high availability and scalability of ML systems.
Collaborate with Algorithm Engineers to deliver innovative solutions.
Partner with product teams to align ML solutions with business objectives.
Communicate technical plans and progress to stakeholders.
Establish and enforce MLOps standards and best practices.