דרושים » תוכנה » Engineering Manager - Collection Engineering (RemoteOps Team)

We are building our next-generation, cloud-based data pipeline and are looking for an exceptional software engineering manager with proven expertise in full-stack development. This leader should be excited about building systems from scratch, thrive on empowering engineers, and be able to quickly dive into complex, large-scale environments and guide teams to deliver high-quality solutions.
The role requires leading and coordinating with multiple engineering teams and product managers to ensure timely delivery of new products.

By joining this team, you will oversee the development of the following products:

Network Discovery: A product that delivers full visibility into every device on a corporate network. Customers can manage any asset, including those not yet protected or supported by us, thanks to machine learning that automatically identifies all IoT devices.
Vulnerability Management: A platform module that enables customers to analyze and prioritize the vulnerabilities detected by our cybersecurity solutions on their endpoints.
What will you do?
Grow people and processes - Coach engineers through career development, foster a culture of continuous improvement, and evolve our development workflows, tooling, and quality standards.
Orchestrate cross-team execution - Partner with multiple engineering teams and product managers to build realistic roadmaps and ensure the timely delivery of new products and features.
Lead features end-to-end - Guide a cross-disciplinary squad of backend and frontend engineers working alongside Windows, Linux, and macOS endpoint specialists - taking ideas from whiteboard to production.
Deliver customer-facing security insights - Drive the design, implementation, testing, and deployment of services that turn raw cybersecurity events into clear, actionable information, while mentoring engineers on best practices.
Shape our platforms architecture - Set technical direction for new modules across several strategic product lines, selecting patterns and technologies for scale, reliability, and performance, and coordinating design reviews across teams.

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.

As a Director of Engineering, you will provide strategic technical leadership and oversight for multiple engineering teams, driving the vision and execution of key product areas within our B2B payments platform. You will be instrumental in shaping our engineering culture, fostering innovation, and scaling our technical organization to meet ambitious business goals.

You will guide teams leveraging technologies such as React, Node.js, AWS Serverless, and scalable databases to build unique and impactful experiences in the world of B2B payments.

This role requires a leader who is passionate about building high-performing engineering organizations, capable of balancing deep technical expertise with strategic business acumen. You will empower and mentor engineering managers, ensuring technical excellence, operational efficiency, and alignment with overall company objectives.

our company's Harmony SASE is one of the fastest growing businesses in the company, delivering cutting-edge security and networking as-a-service from the cloud. Were looking for a DevOps Group Manager to lead and grow our DevOps organization, which is core to enabling rapid product innovation and highly reliable service delivery at scale.
You will manage a group of ~25 DevOps engineers across 3 teams, supporting over 250 R&D engineers and growing. The DevOps group is responsible for CI/CD infrastructure, production reliability, developer velocity, and infrastructure as code across a multi-region AWS environment.
This role requires excellent leadership, project management, and technical depth to coordinate dozens of cross-team initiatives, align priorities with R&D needs, and ensure we meet strict SLAs in production. Experience managing offshore teams is a strong advantage, as approximately one-third of the group is based in Europe.
In addition to core DevOps responsibilities, this group is also leading innovation around AI Agents that assist engineers through ChatOps and internal developer tools. This includes building the underlying infrastructure for running and managing AI Agents using the Model-Context-Protocol (MCP) design pattern. Familiarity with AI-driven tooling, developer agents, or backend systems for LLM workflows is a strong advantage.
Key Responsibilities
Lead and grow a high-performing DevOps group responsible for CI/CD, cloud infrastructure, and production operations
Manage multiple DevOps team leads and oversee delivery across projects and priorities
Collaborate with R&D group leaders, product managers, and security teams to align infrastructure and tooling to business needs
Own and evolve our cloud infrastructure (multi-region AWS, ECS, Fargate, Kubernetes) and Infrastructure as Code (Terraform)
Drive operational excellence and system reliability through monitoring, automation, and incident management best practices
Ensure robust deployment pipelines (GitHub Actions) and development workflows to support fast, safe, and scalable software delivery
Oversee cost management, scalability, and performance of our growing cloud footprint
Manage project portfolios, coordinate resources, and drive cross-functional execution in a fast-paced environment
Work effectively across time zones with remote and offshore team members
Lead initiatives to integrate AI Agents and ChatOps into developer workflows, leveraging MCP (Model-Context-Protocol) architecture .

We are seeking an experienced Engineering Team Lead to head one of our three engineering teams. This team will comprise BE, FE and mobile developers, and a QA engineer. As the team lead, you will be responsible for guiding the team, ensuring successful delivery of projects, and fostering a culture of collaboration and continuous improvement.

Responsibilities:
Lead, mentor, and manage a multidisciplinary team of backend, frontend, mobile developers, and QA engineers.
Oversee the design, development, testing, and deployment of high-quality software solutions that align with business goals.
Collaborate with product managers, designers, and other stakeholders to define technical requirements, set priorities, and establish project timelines.
Ensure adherence to best practices in software development, including code reviews, testing, and continuous integration and delivery (CI/CD).
Facilitate effective communication and collaboration within the team and across other departments.
Identify and address technical challenges, providing guidance and support to team members.
Monitor and improve team performance, productivity, and overall efficiency.
Stay updated with industry trends and emerging technologies, advocating for their adoption when appropriate.
Foster a positive and inclusive team culture that encourages innovation, learning, and personal growth.

We are seeking a skilled and motivated Engineering Manager to lead the development of our claims and core systems - a mission-critical part of our platform. This role is an opportunity to shape our technical vision, build a high-performing engineering team, and drive innovation in a key area of our business.
A day in the life:
Architect and lead the development of our claims system, ensuring scalability and performance.
Build, mentor, and manage a high-performing engineering team.
Lead technical decisions and drive engineering best practices across teams.
Collaborate with cross-functional teams (Product, Data, Business, Engineering) globally.
Balance hands-on development with strategic leadership, optimizing for both velocity and quality.
Partner closely with product teams to design and implement critical features.
Shape our system architecture and technology choices to drive long-term success.
Foster a culture of collaboration, innovation, and continuous improvement.

We are looking for an experienced and passionate Engineering Manager to join a rapidly growing team. We work in a fast paced environment, building a real-time bidding system which serves billions of users.
We value leaders who prioritize collaboration, mentorship and technical excellence - people who inspire their teams to innovate while creating a culture of ownership and accountability.
This is a great opportunity for experienced professionals who have a strong background in backend development, leadership skills, and a deep understanding of large-scale distributed systems. If you're passionate about tackling complex technical challenges and building products that reach a massive global audience, this role is for you.
What you'll be doing
Manage a team of senior software engineers, fostering growth, collaboration, and high performance.
Ensure the efficiency, scalability, and stability of various backend system components.
Contribute to technological and architectural decisions.
Work closely with various stakeholders and departments to prioritize and deliver exceptional features.

We are looking for an experienced MLE Team Lead to lead our Machine Learning Engineering team as part of the Infrastructure group. AI/ML are core components of Navina unique technology, and a significant part of our technical edge. This is a unique opportunity to take a leadership role in building the infrastructure that powers the models driving Navinas products.

Youll lead a team of ML engineers in designing scalable production systems, collaborating with cross-functional stakeholders, and mentoring team members as we scale our ML platform and capabilities.

Responsibilities:
Provide technical leadership and team management for the Machine Learning Engineering team, including mentoring team members, and encourage ongoing personal and professional growth.
Define and drive the roadmap for ML infrastructure in collaboration with other technical leaders and data science team, ensuring alignment with broader engineering and organizational goals.
Remain actively involved in the architecture and development of systems that enable scalable and reliable model training, deployment, serving, and monitoring.
Own the engineering aspects of the ML lifecycle, including the design of efficient production-grade deployment mechanisms, robust observability and maintenance practices.
Work closely with data science, product, medical, and dev teams to understand evolving needs and deliver infrastructure and tooling that improve development velocity and model reliability.
Continuously evaluate emerging tools and best practices in ML infrastructure and thoughtfully integrate relevant technologies to strengthen the teams capabilities.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our internal platform for Engineering, and our cloud infrastructure capabilities for SaaS customers. As a Director of Engineering, you will lead teams working on two major areas: a developer-centric platform that provides the tools, automation, and infrastructure needed to seamlessly develop, deploy, and operate services in production, and cloud infrastructure capabilities for SaaS customers, including customer-facing infrastructure and management features that enhance integration, security, and reliability, ensuring a robust experience for our companys SaaS customers.
As a Director of Engineering at our company's, you will...
Define and drive the vision, strategy, and roadmap for the internal platform for Engineering, ensuring alignment with SaaS business goals.
Build, lead, and mentor multiple cross-functional teams of developers and DevOps to deliver a scalable and reliable platform.
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization.
Architect and deliver a self-service, developer-centric platform that simplifies development, SaaS management and production operations.
Provide observability solutions to improve system reliability and visibility of our SaaS products and operations.
Partner with engineering leaders, product teams, and business stakeholders to ensure platform capabilities align with SaaS growth and reliability goals.
Stay ahead of industry trends in Platform Engineering, DevOps, and cloud-native technologies to continuously evolve the platform.

Were looking for a Data Science Team Lead to join our winning team. This is an opportunity to take a leadership role in building innovative AI products, manage a growing team of algorithm researchers, and have a major impact on the methods, infrastructure, and product capabilities.

Youll lead projects from early research to full production deployment, guiding the development of models, scalable pipelines, and services that power critical features in the platform.

Responsibilities:
Lead, mentor, and grow a team of Data Scientists providing both technical leadership and professional development.
Own the full lifecycle of AI projects: from research and prototyping through production-grade deployment and monitoring.
Design and oversee the development of scalable ML pipelines, model serving infrastructure, and robust data workflows in collaboration with software engineering and product teams.
Drive initiatives to deliver LLMs and other AI models as production-grade services within the organization.
Partner cross-functionally with product managers, clinical experts, and engineers to translate business needs into AI-driven features.
Guide research in NLP, NLU, and Deep Learning domains, staying at the forefront of industry developments and incorporating new methods where applicable.
Maintain a high standard of technical execution within the team, fostering a culture of ownership, quality, and innovation.
Communicate technical findings, project status, and strategic recommendations clearly to technical and non-technical stakeholders.