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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.

Through innovative technology and AI-driven solutions, our company is reshaping the eyewear industry and delivering a seamless, personalized shopping experience. We ensure quality, affordability, and efficiency by controlling the full supply chain, from product design and manufacturing to optical lens production and digital experience.
Our Customer Experience team is looking for an experienced & driven CX Technical Project Manager. This position will report to the VP of Customer Experience.
What Youll Do:
Own, manage, and optimize the CX tech stack, tools, and platforms.
Build, improve, and maintain CX workflows, processes, and SOPs.
Monitor operational backlogs, bugs, and ongoing technical tasks.
Design and implement tools to improve CX speed, quality, and efficiency.
Maintain dashboards, reports, and performance analytics to support business decisions.
Lead A/B testing initiatives across all support channels and deliver insights to leadership.
Manage onboarding/offboarding of CX systems and ensure smooth platform operations.
Handle DSR processes, vendor invoices, and operational tracking.
Analyze CX performance, forecasting, and interaction volumes across channels.
Maintain IVR systems and support global support-site operations.
Collaborate with Product and leadership teams on CX roadmap initiatives.
Continuously identify and remove operational bottlenecks to improve customer experience.

We are seeking an experienced Software Architect to lead the technical vision and architectural strategy of our cloud-native SaaS platform. Our team develops an Azure-based platform for building AI agents and integrating them with telephony and voice communication systems, enabling intelligent, real-time customer interactions at scale.
Our platform is built on a large-scale, distributed microservices architecture powered primarily by Node.js and deployed on Kubernetes. The technology stack includes Docker, Terraform, Azure cloud services, and advanced AI technologies such as Large Language Models (LLMs), Text-to-Speech (TTS), and Speech-to-Text (STT) services.
The ideal candidate combines deep software architecture expertise with strong hands-on engineering capabilities. They bring a proven background in cloud-native platforms, distributed systems, modern DevOps practices, and AI-driven application development. Comfortable operating across architecture, infrastructure, and implementation layers, they thrive on solving complex technical challenges.
Responsibilities:
Define and evolve the overall system architecture and technical roadmap.
Drive architectural decisions that ensure scalability, reliability, security, and performance.
Establish engineering standards, best practices, and design principles across development teams.
Provide technical leadership and mentorship to engineering teams throughout the software development lifecycle.
Collaborate closely with product, engineering, and operations teams to deliver high-quality solutions.
Participate hands-on in architecture reviews, system design, code reviews, troubleshooting, and performance optimization.
Lead cloud-native and DevOps initiatives, ensuring efficient deployment, monitoring, and operational excellence.
Promote and leverage AI-assisted development tools and practices to improve engineering productivity, code quality, and delivery velocity.

We are looking for a Service Reliability Engineer to support our enterprise-grade SaaS Meeting Intelligence solution, working closely with enterprise customers, partners, and internal teams to deliver measurable value.
You will join a dynamic R&D group developing AI-powered UC recording SaaS solutions, and provide expert support for complex production issues in collaboration with field engineers, R&D, and customers.
This is a hands-on role requiring strong troubleshooting skills, a passion for learning new technologies, and ownership of service reliability and quality.
The position is based in Israel, as part of a global SRE team with members in the USA and Israel.
Your mission:
Investigate, troubleshoot, and resolve complex production issues and escalations
Monitor production systems and proactively identify potential reliability risks
Participate in a 24/7 on-call rotation to support critical incidents
Work closely with R&D, QA, PM, CSM, and other teams to resolve issues and improve system reliability
Collaborate directly with customers on technical escalations on a regular basis
Analyze incidents, perform root cause analysis, and contribute to post-incident reviews
Follow and contribute to troubleshooting protocols and best practices
Maintain and improve monitoring, alerting, and observability tools
Create and maintain internal environments for testing and troubleshooting
Document solutions and contribute to internal and customer-facing knowledge bases
Support training activities for service teams when required.

Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
?About the Role
We are looking for a Data Assurance Engineer with strong experience in data validation, automation, analytics testing, and large-scale event pipeline quality.
This role is focused on ensuring the accuracy, stability, and reliability of data across our analytics and security event systems. The ideal candidate will be responsible for building automated validations, investigating data discrepancies, monitoring data quality, and working closely with engineering, data, and product teams.
Responsibilities

* Design, build, and maintain automated validation processes for large-scale event pipelines.
* Validate end-to-end data flows across ingestion, processing, storage, and dashboard layers.
* Create SQL-based validations to verify event counts, unique devices, metadata accuracy, schema
* consistency, latency, and data freshness.
* Investigate discrepancies between production systems, staging environments, data warehouses, object
* storage, and customer-facing dashboards.
* Monitor event volume, data latency, anomalies, spikes, drops, duplicates, and missing data.
* Build and maintain CI/CD validation jobs using tools such as Jenkins or GitLab CI.
* Create clear automated reports, dashboards, and email summaries for validation results.
* Work closely with backend engineers, data engineers, QA teams, and product stakeholders to identify,
* report, and validate fixes for data quality issues.
* Support performance and scalability testing for analytics dashboards, queries, and data pipelines.
* Help improve internal data assurance processes, data observability, and production monitoring.

we are where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.
We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
In this position, you will be a key member in the pre-sales process, working directly with global startup customers and cross-functioning with account managers to develop AWS solutions for the customers.
Work location: hybrid from Tel-Aviv
Curious about what it's really like to work at our company?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Meet with customers, understand their business challenges, and design AWS solutions that address them, covering architecture, cost-efficiency, scalability, and security through Statements of Work (SOW)
Analyze existing customer AWS architectures and propose improvement roadmaps
Collaborate cross-team with different departments to ensure solutions are designed according to AWS best practices
Build thought leadership in the cloud community by contributing to blogs, workshops, webinars, conferences, and more, representing our company as a trusted voice in the ecosystem
Travel both locally (to meet with customers, partners, and attend local events) and abroad (at least once a quarter).

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work at our company?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter.

Were looking for a Solutions Architect Team Lead to manage, recruit, and mentor our Israeli and CEE Solutions Architects, as well as provide core services and also to provide technical pre-sales guidance to our company customers while building long-term relationships, identifying pain points, and addressing them.
Work location: hybrid from Tel-Aviv
Curious about what it's really like to work at our company?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Meet with customers, understand their business challenges, and design AWS solutions that address them, covering architecture, cost-efficiency, scalability, and security through Statements of Work (SOW)
Manage and mentor a team of Solutions Architects, including mentorship, professional team growth, recruiting and interviewing, and supporting the broader department's team expansion efforts.
Analyze existing customer AWS architectures and propose improvement roadmaps
Collaborate cross-team with different departments to ensure solutions are designed according to AWS best practices
Build thought leadership in the cloud community by contributing to blogs, workshops, webinars, conferences, and more, representing our company as a trusted voice in the ecosystem
Travel both locally (to meet with customers, partners, and attend local events) and abroad (at least once a quarter)
Build a strong relationship with the AWS Startup SA community.

We're looking for a Product Manager to join our global Product team and take ownership of ClickCease, our self-serve PLG platform.
Reporting directly to the Chief Product Officer and working closely with the division head, you'll play a key role in shaping the product strategy, influencing business
priorities, and driving product decisions across the organization.

WHAT YOU'LL DO
Own and drive the ClickCease product roadmap - from ideation and prioritization through delivery, launch, and iteration.
Define and continuously optimize the self-serve funnel: acquisition, conversion, onboarding, retention, and expansion.
Represent the voice of the ICP - conduct market research, user interviews, analyze support trends, and synthesize insights into product decisions.
Define, monitor, and report on key PLG metrics: activation rate, time-to-value, trial conversion, MRR expansion, churn rate, and NPS.
Lead a KPI-based experimentation culture - design A/B tests, analyze results rigorously, and build institutional knowledge from every experiment.
Set pricing and packaging strategy for self-serve subscription tiers, in collaboration with GTM, finance, and leadership.
Monitor the competitive landscape across click fraud prevention, ad verification, and broader ad-tech to identify opportunities and threats.

We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
We're looking for top-notch, passionate Software Engineer to be part of our world-class Engineering team. If you think you can handle a wide range of technologies, pushing code to production several times a day, working on a different part of our product code with every new task you get, and using the best practices in the industry? Please contact us!
You will -
Participate in designing and developing our company products in multiple technologies, no code ownership environment
Design and develop modules for a high-end product that serves billions of transactions a day
Deploy your code to production in a continuous manner
Be responsible for the healthiness of your application in production
Work with product managers to define, prioritize and finalize features
Carry out full-stack, end to end development

This is a 100% hands-on role combining critical core coding, architectural leadership, intensive mentorship, and driving an AI-First mindset across the engineering culture. Your goal goes beyond shipping features - it is about building and cultivating a sharp, autonomous, and high-performing engineering team.
What You'll Do
Architecture & Code (Hands-on): Lead end-to-end architecture (Backend & Frontend), take ownership of the stack, databases, and repositories, and write complex core system components.
Product-to-Tech Translation: Deconstruct complex product requirements into clear, precise, and actionable technical breakdowns for developers.
Mentorship & Engineering Excellence: Empower and develop team members, conduct rigorous code reviews, run engineering post-mortems (lessons learned), and build a culture of continuous knowledge sharing.
Agile & Delivery: Drive technical task decomposition, set realistic estimations, and execute stable, predictable sprint deliveries.