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.

Were looking for a hands-on Engineering Team Lead to join our AI Group.
This role combines people leadership, senior-level backend development, and infrastructure-oriented thinking, and plays a key part in building and scaling AI-powered capabilities across Bobs product.
As a Team Lead in the AI group, you will lead a team of backend engineers while remaining actively involved in designing and implementing robust, scalable systems that support AI features used by thousands of customers.
If youre passionate about leading people, shaping technical direction, and staying hands-on in complex backend and infrastructure challenges - this role is for you.
Why Join the AI Group?
Lead a team at the core of Bobs AI strategy and execution.
Influence both product-facing AI features and the underlying technical foundations.
Work in a highly collaborative environment with strong Product, Infra, and Data partners.
Make a real impact at scale while growing as a technical and people leader.
Job responsibilities
What Youll Do
Technical Leadership & Hands-on Development
Lead the design, development, and operation of backend services and infrastructure that power AI-driven features.
Take ownership of end-to-end delivery - from discovery and architecture through implementation, testing, deployment, and monitoring.
Address scalability, performance, and reliability challenges in production systems handling real-time AI interactions.
Work closely with Infrastructure, Data, DevOps, Product, and Design teams to ensure seamless integration of AI solutions into the broader platform.
Drive high engineering standards through code reviews, architecture discussions, testing practices, and automation.
Team Leadership & Growth
Lead, mentor, and grow a team of backend engineers within the AI group.
Own hiring, onboarding, coaching, and professional development of team members.
Foster a culture of ownership, collaboration, learning, and technical excellence.
Support engineers in growing their scope and taking end-to-end responsibility.
AI Platform & Developer Experience
Contribute to and evolve shared AI infrastructure, internal services, SDKs, and tooling.
Improve developer experience by enhancing observability, CI/CD flows, configuration, and internal frameworks.
Collaborate with Architects and DevOps to align AI infrastructure with long-term platform strategy.

Were looking for an experienced Engineering Group Manager to join our growing R&D organization in Tel Aviv. In this role, youll lead and scale a group of teams responsible for the heart of AI platform, including our AI team, Chat AI product team, and Incubation team. A major focus of this role is to lead and grow the Data Science team, including machine learning research, ML model development, and MLOps practices to ensure production-ready, scalable, and reliable AI solutions.

You will play a key role in shaping and executing our technical vision, driving the evolution of our conversational AI and voice solutions, and building a strong, high-performing engineering organization. This role reports to the CPTO.

Responsibilities
Lead, scale, and mentor an engineering group of 15-20 engineers, delivering complex, AI-driven products at scale.
Manage two Team Leads and provide direct leadership to specialized teams, including the AI team and Data Science team, working closely with a dedicated AI Architect.
Partner closely with the CTO to translate technical vision into execution and ensure strong alignment across teams.
Collaborate deeply with Product Managers to define and execute the roadmap for core AI engine and chat experiences.
Oversee the development and deployment of machine learning models, including model design, evaluation, optimization, and production integration.
Drive continuous improvement of R&D processes, structure, and engineering culture to support rapid growth and high-throughput environments.
Foster technical excellence, mentor future leaders, and build a strong leadership pipeline within .
Own cross-functional collaboration, ensuring strong synchronization between your group and other departments across the company.

Were looking for an experienced Solutions Architecture Team Lead to lead and grow our Data Loss Prevention Solutions Architecture function. In this role, youll combine deep technical expertise with people leadership, owning the most complex customer engagements while guiding and mentoring a team of Solution Architects.
In this role, youll act as a key bridge between the field, Product, and R&D, setting the technical and strategic direction, driving execution excellence, and drive successful customer implementation and outcomes. Your leadership will directly influence product evolution, customer adoption, and enable scalable success across the organization.
What Youll Do
Act as the senior technical point of contact, leading the most complex and strategic customer engagements across pre-sale and post-sale efforts, while guiding the team on technical execution.
Partner with internal teams and customers to implement and integrate our companys DLP solutions, ensuring technical feasibility and alignment with business needs.
Act as a platform expert, collaborating with Product and Engineering teams to translate customer challenges into new features and technical solutions.
Own and drive resolution of complex technical issues and escalations, coordinating cross-functional teams to deliver timely and effective outcomes.
Collaborate closely with Sales, Customer Success, Product Management and R&D to accelerate the sales process, manage escalations, and maintain alignment across teams.
Design, review, and oversee ad-hoc technical solutions and automation to improve pre-sale, post-sale, and internal operational efficiency.
Define, standardize, and continuously improve internal workflows, tooling, and best practices to support a growing customer base and scale the Solutions Architecture function.

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Senior Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Mentor junior engineers through code reviews, pair programming, and technical guidance
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practics for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work:
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.

Were looking for an experienced Solutions Architecture Team Lead to lead and grow our Data Loss Prevention Solutions Architecture function. In this role, youll combine deep technical expertise with people leadership, owning the most complex customer engagements while guiding and mentoring a team of Solution Architects.
In this role, youll act as a key bridge between the field, Product, and R&D, setting the technical and strategic direction, driving execution excellence, and drive successful customer implementation and outcomes. Your leadership will directly influence product evolution, customer adoption, and enable scalable success across the organization.
What Youll Do
Act as the senior technical point of contact, leading the most complex and strategic customer engagements across pre-sale and post-sale efforts, while guiding the team on technical execution.
Partner with internal teams and customers to implement and integrate our companys DLP solutions, ensuring technical feasibility and alignment with business needs.
Act as a platform expert, collaborating with Product and Engineering teams to translate customer challenges into new features and technical solutions.
Own and drive resolution of complex technical issues and escalations, coordinating cross-functional teams to deliver timely and effective outcomes.
Collaborate closely with Sales, Customer Success, Product Management and R&D to accelerate the sales process, manage escalations, and maintain alignment across teams.
Design, review, and oversee ad-hoc technical solutions and automation to improve pre-sale, post-sale, and internal operational efficiency.
Define, standardize, and continuously improve internal workflows, tooling, and best practices to support a growing customer base and scale the Solutions Architecture function.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

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

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.
As a Team Lead , youll tackle complex business logic, drive improvements in engineering processes, and guide your team through architectural and technical challenges. Youll build alignment, trust, and motivation across your team and R&D, shaping how we deliver software, collaborate as an organization, and provide an exceptional experience for travelers. This role is for someone seeking real impact, ownership, and the chance to lead talented engineers through meaningful technical and product challenges.
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.