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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.

Were looking for a Senior Growth Product Manager with a passion for experimentation, data-driven decision-making, and creating seamless user experiences. Youll join one of our high-impact growth teams, helping drive user acquisition, engagement, retention, and cross-sell opportunities.
This role has the potential to unlock massive revenue growth - scaling from millions to billions. Youll define and implement strategies that drive measurable impact, using deep customer insights, A/B testing, and iterative experimentation to fuel sustainable growth.
As a strategic leader, youll set the vision for where we need to go and craft the roadmap to get us there - balancing business goals with customer needs.
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
Own and execute key parts of our growth strategy, from research to launch, focusing on user acquisition, retention, and monetization
Understand customer behavior and pain points, leveraging data, user research, and experimentation to uncover opportunities
Define and track key performance indicators (KPIs) to measure success and continuously optimize for impact
Lead continuous A/B testing and experimentation, using insights to drive iterative improvements
Work cross-functionally with Design, Engineering, Data Science, and Marketing to bring growth ideas to life
Challenge assumptions and rethink the status quo, pushing for bold, innovative approaches to growth.

Were looking for a Senior Product Manager whos experienced in planning, designing, and scaling world-class products. If you love tackling complex problems, cherish the power of automation and self-service, enjoy exploring the latest GenAI models, and are passionate about designing amazing customer experiences at scale, this ones for you.
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:
In your day-to-day, youll be responsible to drive our companys automation efforts to the next level, to allow us to reach infinite scale. Our efforts are focused on automating all of the touch points we have with our customers- including handling their claims, replying to their questions to customer support, and reviewing risk factors. By doing so, we optimize our operational efficiency and drive delightful customer experience.
As part of your work youll get to use the latest GenAI tools and LLMs powered by our home grown internal tools.
Youll collaborate closely with designers, engineers, data analysts, and stakeholders within our Customer Ops team.
With an in-depth knowledge of our companys customer-facing teams, products, and brand, youll create product strategies consistent with the companys vision, and translate them into detailed requirements and prototypes.
Youll prioritize tasks as needed, and come up with creative new ideas to expand our product functions, and improve scalability and automation efforts.

You'll own a product area for our B2B2C vision insurance product, setting strategy and leading the work that brings it to life. This is a senior, hands-on role for someone who can both shape the vision and drive the day-to-day.
What you'll do:
Set and run a smart, data-backed product strategy in a fast-moving startup environment.
Spot new ways to create real value for our users.
Define what needs building, then lead the work end to end with designers and developers - making sure we solve the right problem, not just ship something.
Run user research, and use what you learn to make our products simple, clear, and easy to use.
Catch problems in the live product early, dig into the details, and find practical fixes fast.
Lead work with outside partners and third-party tools when the project calls for it.
Travel abroad several times a year, typically 1-2 weeks at a time, to work closely with teams.

We are seeking a Platform Engineering Group Lead to strengthen our platform and operational engineering capabilities and ensure the company has a secure, reliable, and scalable foundation for product delivery and operations. This role drives execution, raises engineering standards, and improves consistency across deployment, infrastructure, and operational practices in support of product delivery, customer environments, and internal platforms. The role partners closely with R&D, QA, IT stakeholders, and PS/CS to enable consistent deployments through standards, reference architectures, and high-quality installation documentation.

Your key responsibilities will be:
Lead the Platform Engineering group, including people leadership, prioritization, execution management, and cross-functional coordination, and establish an effective operating cadence for a small, high-impact organization.
Build scalable operating models, ownership boundaries, and execution discipline across platform, deployment, and operational engineering activities.
Drive automation and deployment engineering outcomes across CI/CD, release readiness, environment provisioning, and delivery tooling, with a strong focus on reducing manual steps and operational risk.
Own deployment readiness across internal and customer-facing environments, including staging deployments, validation steps, installation packages, and deployment runbooks, to support consistent and repeatable implementations.
Ensure effective internal infrastructure and workplace technology operations, including service levels, escalation paths, operational hygiene, endpoint lifecycle, backups, and core office/server-room infrastructure.
Drive security and compliance readiness within the groups scope, including operational controls implementation, remediation tracking, evidence discipline, and coordination with external cybersecurity partners and internal security stakeholders.
Establish engineering standards and technical guardrails across infrastructure-as-code, change management, observability, access controls, and backup/restore verification.
Lead incident management across platform, infrastructure, and internal technology services, including issue assessment, prioritization, escalation, incident reviews, and corrective actions to improve reliability over time.
Define and improve deployment patterns, reference architectures, and environment recommendations based on customer constraints and operational requirements to support successful PS/CS engagements.

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.

we are a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care-from the hospital to the home.
We are looking for an experienced Senior DevOps to join our team. In this role, you will work closely with Development, Architecture and Operations teams to build, optimize and maintain our cloud-native SaaS platform, while improving platform reliability, automation, security and developer productivity.
Job Description
Manage and optimize Kubernetes-based environments, primarily AKS.
Support production and non-production SaaS environments.
Improve platform reliability, scalability, performance and availability.
Troubleshoot infrastructure and application issues across distributed systems.
Implement monitoring, alerting and operational best practices.
Develop and maintain Infrastructure as Code solutions.
Automate cloud resource provisioning and environment creation.
Improve operational workflows through scripting and automation.
Develop reusable tools to reduce manual operational effort.
Improve CI/CD pipelines using GitHub Actions.
Enhance GitOps workflows using Argo CD.
Optimize release management and deployment automation.
Implement cloud security best practices, including IAM, secrets management and network security.
Leverage AI-powered tools to improve engineering efficiency and automation.
Direct Manager :DevOps Manager.

We are looking for a Senior backend engineer who is strong in Python and enjoys building reliable, data-intensive systems. You will help develop our next-generation platform, integrations with external data sources, and the services that collect, process, and expose data throughout our product.
This is primarily a backend engineering role - not a pure data engineering or DevOps position. However, you should be comfortable working with data pipelines and taking services through the full lifecycle, from design and implementation to production monitoring.
This is a hybrid position, including two work-from-home days per week, with flexibility .
Responsibilities
Design, build, and maintain backend services using Python and FastAPI.
Develop reliable integrations with external APIs, platforms, and data providers.
Build and improve data-collection and processing workflows, including scheduled, asynchronous, and long-running workloads.
Contribute to our new platform and capabilities such as algorithm execution and data collection orchestration.
Design efficient data models and queries for operational databases and analytical systems such as Amazon Redshift.
Handle real-world integration challenges including rate limits, retries, partial failures, idempotency, and changing external schemas.
Improve the performance, scalability, observability, and reliability of existing services.
Own features end to end: technical design, implementation, testing, deployment, monitoring, and ongoing improvement.
Collaborate with product and engineering colleagues to turn ambiguous requirements into pragmatic technical solutions.

About the Position We are looking for a talented, hands-on Software Development team leader to lead a small, focused team of software developers in a web development environment and take a key role in the development of an advanced, Real-Time operational platform. The ideal candidate is a dynamic and technology-driven team leader who loves building great software, brings new ideas to the table, stays constantly up to date with emerging technologies, and knows how to turn them into real engineering value.
Responsibilities:

* Lead the teams day-to-day technical activities while remaining actively hands-on in development.
* Develop scalable backend services in a microservices architecture.
* Integrate AI into the day-to-day development lifecycle, including coding, testing, debugging, documentation, code review, and productivity improvement.
* Work closely with Product, system Engineering, Project Managers, QA, and other R&D stakeholders.
Why Join Us:
This is a unique opportunity to join a highly innovative technological environment, work at the forefront of modern software development, and combine technical leadership, hands-on development, modern architecture, and AI-driven engineering practices.

Were looking for a Senior Product Manager with a pioneering spirit to join our core Attribution product team. Attribution is the core essence of marketing analytics and a mission-critical product to drive marketing decisions across the entire mobile ecosystem.

The Attribution team is responsible for the attribution algorithms and all critical APIs to the top media partners that the entire digital ecosystem relies on. The ideal candidate will have a proven record as a product manager of SaaS platform with deep technical knowledge of Big Data and SaaS solutions.

In this role, your mission is to serve as a key domain expert and collaborative listener - distilling customer feedback and analyzing market needs/trends to ensure the platform remains at the absolute top of its class as we pave the way in the AI era. You will also drive high-stakes product features in close collaboration with our strategic partners, including Apple, Google, Meta, and Amazon.

This is a high-impact, highly visible role with direct influence across the entire mobile ecosystem, shaping the future of measurement for global brands and leading digital platforms.


What you'll do
End-to-End Product Ownership: Manage the product lifecycle of the attribution domain from discovery and definition through to execution, go-to-market (GTM), KPI measurement, and continuous optimization.
Building Next-Gen Measurement Solutions: Advance digital marketing measurement in a dynamic ecosystem, addressing shifts in search and browsing habits driven by AI, conversational search, and changing media consumption patterns.
Privacy & Regulatory Navigation: Lead product strategy in a highly complex, privacy-first environment, ensuring compliance with global regulatory changes and data restrictions.
Cross-Functional Leadership: Collaborate closely with multiple engineering teams, architects, and data analysts to deliver robust and scalable solutions.
Customer-Centric Innovation: Partner directly with top clients to gather first-hand feedback and translate their insights into impactful product capabilities.
Executive & Strategic Alignment: Drive high-visibility projects, communicating progress and strategic vision directly with executive leadership.
Internal & External Collaboration: Foster strong alignment across internal Business, Marketing, and R&D teams, while managing relationships with key strategic partners.

We are looking for a Senior Product Manager to join our Analytics team within the Measurement group. In this role, you will own a core analytics domain used daily by global advertisers to measure, interpret, and optimize their marketing performance. You will work at the intersection of large-scale data, attribution complexity, privacy-driven measurement changes, and AI-powered capabilities - shaping how customers understand and rely on their marketing data.

This is a high-impact, highly visible role with direct influence on customer trust, product strategy, and the evolution of our analytics platform.

What youll do
Own a core Analytics domain end-to-end - from discovery and strategy definition to execution, launch, and continuous improvement.
Define and drive the roadmap for dashboards, metrics, and data experiences serving enterprise marketing teams.
Balance stability, scalability, and innovation in a complex, data-intensive environment.
Lead initiatives that modernize and consolidate analytics capabilities across multiple attribution sources.
Shape the integration of AI-powered capabilities into analytics experiences, enhancing how customers interpret performance data.
Work closely with R&D (Backend, Frontend, Data Engineering) to build scalable, high-performance analytics products.
Partner with Sales and Customer Success to understand customer needs, support adoption, and strengthen trust in our measurement solutions.
Engage directly with customers to validate product direction and identify opportunities to improve clarity, usability, and performance insights.
Drive prioritization in a high-demand environment with multiple stakeholders and competing initiatives.

Were looking for a Principal Backend & Data Engineer to own and evolve the core data-intensive backend architecture of our AI platform. This is a senior individual contributor role with broad architectural responsibility and deep hands-on impact.

You will be a technical authority in building scalable, high-performance backend and data systems that power our AI research engine - working closely with AI scientists, platform engineers, and product leaders. Beyond implementation, you will define technical direction, set engineering standards, and influence how we build and scale data-driven AI systems across the organization.

What Youll Do
Architecture & Technical Ownership

Own the architecture of core backend and data systems that support large-scale, AI-driven computation and inference.
Design and evolve high-performance analytical processing layers handling complex data workloads at scale.
Make and drive long-term architectural decisions across backend, data, and AI integration domains.
Define standards and best practices for performance, scalability, reliability, and data correctness.
Backend & Data Engineering

Design, implement, and optimize data-intensive backend services using Python.
Build and evolve analytical compute pipelines using technologies such as Polars, DuckDB, AirFlow, Iceberg, Spark and other ingestion and processing frameworks.
Collaborate closely with AI scientists to productionize algorithms and embed advanced intelligence into the platform.
Platform & Infrastructure

Architect and maintain containerized systems using Docker and Kubernetes.
Ensure systems are observable, debuggable, and operable in production environments.
Drive performance tuning and cost-efficiency across compute-heavy workloads.
Technical Leadership

Act as a technical authority and thought leader within the engineering organization.
Mentor senior engineers through design reviews, architectural guidance, and hands-on collaboration.
Serve as a force multiplier by unblocking complex technical challenges and raising the overall engineering bar.