דרושים » תוכנה » Engineering Manager - Data Platform

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.

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 seeking a highly motivated and experienced Software Team Lead to oversee a multidisciplinary engineering squad responsible for the development and maintenance of key company productsincluding the Command Platform (SaaS) and Data Sharing Services (DaaS). This role includes leadership of Frontend, Backend, QA, and Automation engineers and requires collaboration with cross-functional stakeholders such as Product Managers, UI/UX designers, Data Engineers, Data Scientists, and DevOps professionals.

This is a hands-on position involving direct technical contributions, architectural oversight, and responsibility for quality, performance, and timely delivery. The ideal candidate demonstrates both technical depth and proven leadership capabilities.

Key Responsibilities

Lead a cross-functional engineering squad working on mission-critical SaaS and DaaS products.
Own the full software development lifecyclefrom planning and architecture to deployment and maintenance.
Drive initiatives to improve scalability, performance, reliability, and long-term maintainability.
Work closely with Product, UI/UX, DevOps, Data Engineering, and Data Science to ensure alignment and delivery.
Mentor and guide engineers, fostering a culture of growth, accountability, and continuous improvement.
Champion software engineering best practices and quality assurance methodologies.
Integrate AI-powered solutions into platform capabilities where appropriate.
Ensure timely delivery of product features in alignment with company goals and stakeholder expectations.

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.

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

we are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. we are looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
our company data center systems, such as DGX and HGX, have become core to our company's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of our company GPUs, our company NVLink, our company InfiniBand networking, our company Grace CPUs, and a fully optimized our company AI and HPC software stack. We are seeking a highly motivated System Software Manager to lead a team driving the development of next-generation communication software and products, building on our industry-leading NVLink and NVSwitch technologies. This role combines technical leadership with hands-on development activities, driving innovation at the core of our companys data center ecosystem.
What you will be doing:
Lead, mentor, and grow your engineering team while overseeing project planning, execution, and ensuring the quality and performance of all deliverables.
Own major features and drive the teams roadmap that aligns with ambitious goals and dynamic customer requirements.
Grow the local team while collaborating with a wide range of crossbusiness unit teams both on-site and locally.
Continuously evaluate and identify opportunities to improve processes, infrastructure, and practices to ensure efficient, transparent, and high-quality team execution.
This is a technical leadership role, with active involvement in feature design and implementation.

Build Scalable Solutions: Lead the design and development of robust, scalable systems using a mix of cutting-edge languages, frameworks, and technologies, while maintaining a strong focus on quality and performance.
Customer-Centric Development: Collaborate with customers and stakeholders to understand their needs, ensuring the team delivers high-value solutions aligned with our mission.
Cross-Functional Collaboration: Work closely with cross-disciplinary teams, including DevOps, data engineering, and product management, to align on priorities and drive company-wide initiatives.
Foster Growth: Cultivate an environment where team members are empowered to innovate, take ownership, and expand their skill sets.

Were looking for a Tech Lead to join our dynamic Engineering team and take end-to-end ownership of the Candidate AI service at myInterview. In this role, you'll drive the daily operations, technical vision, and innovation of AI-powered applications that redefine how candidates engage with our platform.


As the bridge between Engineering and Data Science, youll lead architectural decisions, champion best practices, and ensure our AI services are secure, scalable, and cutting-edge.

What You'll Do:

AI & Technical Leadership:

Lead the design and implementation of intelligent, LLM-powered agents integrated into user-facing applications.

Define architecture and best practices for model serving, memory/persistence, and orchestration of multi-turn agent interactions.

Collaborate closely with Data Science and Engineering teams to align priorities and deliver innovative AI solutions.

Continuously evaluate emerging AI/LLM capabilities (e.g., function calling, RAG, tool usage) and assess real-world applicability.

Drive performance, reliability, and secure development through code reviews, experimentation, and CI/CD process oversight.


Strategic Planning & Operations:

Partner with Engineering Managers (EMs) and Product Owners (POs) to contribute to technical roadmap planning and risk mitigation.

Monitor team spending and evaluate the financial impact of technical decisions.

Coordinate operational tasks like planned maintenance and incident management in alignment with company policies.


Architecture & Quality Management:

Own the technical vision of your services portfolio, ensuring alignment with our architecture standards and evolving business needs.

Lead incident response efforts and assess the impact of proposed changes within your domain.

Ensure infrastructure and deployments align with AWS best practices and our policies.


People & Resource Leadership:

Conduct regular 1:1s, provide mentorship, and ensure your team has the knowledge, tools, and resources to succeed.

Support onboarding of new team members and foster a high-performance culture of collaboration and innovation.


Compliance, Security & Documentation:

Develop software in line with our development and hosting standards.

Track and report deviations, technical debt, and security issues as required.

Maintain up-to-date documentation covering domain design, architecture, and operating procedures.

We are looking for a highly motivated Data Analytics Team Leader to manage and lead a team of three analysts.

In this role, you will be responsible for driving data-driven decision-making across the organization by initiating and managing data projects, analyzing key metrics, and presenting actionable insights. You will also mentor, develop, and recruit top analytical talent while ensuring the team effectively leverages SQL, BigQuery, and Looker to deliver high-quality analyses.

A day in the life and how youll make an impact:
Lead and manage a team of analysts, fostering a culture of collaboration and continuous learning.
Initiate and oversee data analytics projects to drive business impact.
Perform in-depth data analysis to uncover insights and trends that support strategic decision-making.
Present data-driven insights to senior leadership and key stakeholders.
Mentor, train, and develop analysts, ensuring their professional growth.
Recruit and onboard new analysts to strengthen the team.
Utilize SQL and BI tools (preferably BigQuery and Looker) to extract, transform, and visualize data.
Collaborate with cross-functional teams to align analytics with business needs.