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Do you thrive on solving complex problems and want to make a real impact?
we are looking for a talented Developer Support Engineer (suitable for a Student Position) to join our team to help us support our growing global customer-base.
At our company we turn logistics from a bottleneck into a strategic advantage. Our unified platform transforms fragmented operations into seamless, scalable execution empowering businesses to meet demand with speed and precision.
RESPONSIBILITIES:
Investigate & Resolve technical issues escalated from support agents.
Identify the root cause for issues.
Analyze system logs and dashboards to streamline troubleshooting.
Develop scripts for debugging and automating.
Reproduce customer scenarios for resolving relevant bugs/features.
Maintain and improve a knowledge base of known issues and solutions.
The position includes liaising with CS, QA, Delivery and Sales teams.

We are looking for a passionate Frontend Engineer with expertise in Angular to help us build world-class solutions. As part of our dynamic team, you will have the opportunity to shape the user experience, ensuring our platform is efficient, intuitive, and scalable.
Your primary focus will be implementing new features and maintaining existing code focusing on performance and a responsive pixel-perfect user interface.
The main duties will include creating reusable and testable modules, services, and components using best practices and coupling them into a functional web application while cooperating with the backend and product teams.

we are growing and is looking for a talented individual with a wide skill set to join our R&D team as a Technical Project Manager.
This is a position for an individual with a varied array of skills including both technical, leadership and soft skills.
We are looking for that right person who is up for a challenge, sees the big picture, enjoys working on a variety of topics and is looking to grow with the company.
Roles and Responsibilities:
Manage the R&D timeline, ensuring projects are consistently on track and resources are strategically allocated to meet the company's daily, monthly, and quarterly objectives.
Actively manage multiple technical and operational projects simultaneously from project kickoff to launch.
Develop and monitor the software development life cycle, supervising the engineering team's work to assign tasks, establish goals, set delivery dates, and communicate the teams progress to executives.
Directly engage with clients to oversee project delivery, focusing on meeting their specific requirements.
Work cross-functionally with Developers, PMs, Customer Success, and Operations to ensure readiness for project launches.
Facilitate communication and coordination between different departments to align and achieve project goals.
Utilize data analytics to identify key areas for improvement and growth, ensuring that decisions are data-driven.

We're looking for a Senior Backend Engineer to join our Platform team in Tel Aviv. You'll build the infrastructure that powers our entire engineering organization, accelerating how our teams ship features that millions of customers rely on. This role is perfect for someone who loves solving complex distributed systems challenges and creating tools that make other developers' lives better.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Build core platform services that support all our company development teams across web, mobile, and backend systems
Design and maintain robust APIs for distributed microservices architecture using TypeScript, with Rust experience as a major plus
Collaborate with staff engineers and tech leads to establish platform standards, patterns, and best practices across the engineering organization
Own service stability and communication between systems, implementing both synchronous and asynchronous patterns at scale
Drive developer efficiency initiatives by creating tools, frameworks, and infrastructure that eliminate friction for product teams
Work hands-on with AWS infrastructure including Kafka, RabbitMQ, EKS, SQS, Lambda, and infrastructure-as-code tools like Pulumi
Partner closely with DevOps teams to ensure seamless deployment, monitoring, and scaling of platform services.

We're looking for a Senior Director of Engineering to help scale how we build and own the core of our company's business. This role sits at the center of our R&D organization, partnering closely with senior product and tech leadership to raise the bar on engineering culture, team structure, and platform ambition.
We believe two things matter for every leadership role at our company: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead multiple engineering domains, owning the structure, standards, and performance of teams that build our company's core product
Drive strategic initiatives that increase engineering leverage, so we can do more with smaller, sharper teams
Partner with senior product and tech leaders to shape how we build, not just what we build
Architect next-generation platforms that support our evolving product vision and scale with the business
Attract, develop, and retain high-performing engineers, holding a high bar at every stage of the hiring and growth process
Turn complex business problems into technical solutions that are clean, scalable, and built to last
Embed AI into how we develop and ship, using it to accelerate delivery and raise the quality ceiling.

We're looking for a Senior Security Engineer to help secure our company's applications, infrastructure, and the agentic systems we're building for the future of insurance.
You'll be part of a small, sharp security team that works horizontally across the entire organization - from AI and application security, to cloud and IT security, and beyond. This isn't a narrow, siloed role. You'll own meaningful domains, drive automation that lets the team scale, and help shape how security works at a company that's genuinely reimagining what insurance can be. The team has built an in-house AI security platform, and you'll build your agents on top of it.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Build and maintain automation systems and AI agents that minimize manual security work and help the team scale
Code internal security tools in TypeScript and/or Python that the team relies on and builds from
Evaluate third-party security tools and vendors, and take ownership of the ones we adopt
Identify new attack vectors and security gaps proactively - before they become problems
Partner with product, cloud, and IT teams on security design as new features and infrastructure take shape
Support security operations across the organization - from triaging alerts and incidents to reviewing code for vulnerabilities, as you grow into the role.

We're looking for a backend engineer to help build and scale the systems that power our company's Home products. You'll be part of a self-sufficient squad within our Engineering team in TLV, working closely with Product, QA, Data, and Machine Learning to ship features that make a real difference for homeowners.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Build and maintain Home product features using microservices written in TypeScript (NestJS)
Leverage our in-house autonomous tools to manage the full development flow - from setting up your environment to deploying services to production
Collaborate closely with Product, QA, Analytics, Data, and ML teams within a self-sufficient squad to hit the squad's OKRs
Take ownership of your domain - writing clean, scalable, production-grade code that holds up at scale
Contribute to engineering best practices and help raise the bar across the team.

We're looking for a Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

Were looking for an experienced and passionate Data Group Tech Lead, Staff Engineer to join our Data Platform group in TLV. 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 our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company 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.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
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 our company 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're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across all of our company.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build our company's next-generation data stack.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools
In this role you'll
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals.

Were looking for a senior-level backend engineer to join our growing Engineering team in TLV.
This role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the Product, QA, Data, and Machine Learning teams-all with the goal of delivering a seamless, joyful experience for our customers.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Help build our products using microservices written in Typescript (using NestJS).
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Collaborate closely with the Product team, in a self-sufficient squad to achieve the squads OKRs
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Coach and mentor other developers and help them elevate their skills.

Anyone can ship an AI agent. Shipping one thats right ~98% of the time, with no human checking its work, takes different engineering. Thats what this team builds.
We're looking for a Senior Backend Engineer to help push our AI customer-service agents closer to fully autonomous insurance service. You'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and SMS - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. This isn't a demo or a copilot. Real customers, real money, real stakes, every day.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design, build, and own production LLM agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely
Work on our real-time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast
Shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows
Ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production
Track cost per conversation across millions of LLM calls and find the wins that cut spend without cutting quality
Own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense
Build and operate scalable backend services in TypeScript/Node on Kubernetes/AWS with deep observability - if you ship it, you own it.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We are seeking a motivated and hands-on Technical Trainer or Customer Enablement Specialist with experience delivering customer and partner training in SaaS environments. The ideal candidate is passionate about helping users adopt new technologies, creating effective learning materials, and delivering engaging training experiences.
In this role, you will own the end-to-end training ecosystem for our Meeting Insights, including course development, training delivery, certification programs, and learning resources. You will work cross-functionally with Product, Customer Success, R&D, and Business teams at HQ and globally to ensure customers, partners, and internal stakeholders are fully equipped to succeed with our platform.
What You Will Gain:
Hands-on experience with cutting-edge Conversational AI technologies in real enterprise environments
A key role in supporting customer adoption and success through effective training and enablement programs.
Deep exposure to both technical and business domains through close collaboration with Product, R&D, and customer-facing teams
Opportunities to grow your expertise in AI, SaaS, and customer enablement, with strong potential for career advancement
The ability to influence product adoption and customer success at scale
Contribution to an award-winning solution, recognized as the Best Use of AI at the UC Awards 2024
About Us:
We bring over 30 years of expertise in enterprise voice services, with a strong track record of innovation in Conversational AI SaaS applications. Our Voice.AI platform powers workplace transformation for more than 50 Fortune 100 enterprises, enabling smarter, AI-driven collaboration.
Meeting Insights, launched in early 2024, has rapidly gained traction with hundreds of customers and POCs. We are now entering an exciting new phase of growth and product evolution.
We are an open, inclusive, and diverse organization where employees are at the heart of everything we build. We offer a flexible, collaborative environment and meaningful opportunities for career growth.
Your mission:
Own and execute the design, development, and delivery of training programs, courses, and certification tracks for Meeting Insights.
Build and maintain a comprehensive knowledge base for internal teams (sales engineers, support, customer success), partners, and customers
Collaborate with Professional Services, partners, and customers worldwide to identify and address training needs
Work closely with Product Management, Technical Writing, and Marketing to develop high-quality onboarding and training materials
Design and deliver hands-on, technical training sessions (virtual and/or in-person)
Continuously improve training effectiveness באמצעות feedback, analytics, and evolving product capabilities.