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We are seeking an experienced and dynamic medical data analyst to join our company. This role will focus on the integration of real-world data (RWD) into the company marketplace and executing research and analysis on that data. The position involves close collaboration with the medical and epidemiological team, contributing to the development of internal frameworks and processes, and working alongside the Product and R&D teams.
Integration of new data providers/sources to the company marketplace and configuring their data to be onboarded to the company Marketplace (using FHIR/OMOP format)
Testing and validating that the data that is onboarded to the company Marketplace is standardized and harmonized across all sites. And creating process and infrastructure to keep all configuration up to date.
Supporting the company dynamic datasets product which are RWD mastersets that are being used for sales and marketing efforts and are on of the main products.
Facilitating feasibility tests and research on top of the company Marketplace to enhance the sales process and and ensuring the delivery of data requests and analyses.
Close contact with key stakeholders in the organization: Medical lead, Product, R&D team leaders, to make our product better and be able to deliver value to our customers.

We're looking for a Director of Sales to lead (SMB) sales team, our engine for winning and growing customers You'll manage a team of Account Executives selling a product IT professionals genuinely love: a trusted, disruptive AI-powered platform that's reshaping IT management worldwide. With Robin, our native AI agent built directly into the platform, leading the charge in autonomous IT, and was recently named a Visionary in the Gartner Magic Quadrant for Endpoint Management Tools.

If you've built and scaled SaaS sales teams before, know how to win in North America, and want to help shape a sales org from the inside, this role is for you.

Responsibilities

Own the commercial (SMB) segment's sales targets and pipeline health
Manage, coach, and develop a team of Account Executives, driving performance against quota and professional growth
Report on team performance, forecasting, and pipeline metrics to Sales Leadership
Build and refine sales processes, playbooks, and methodology tailored to the SMB motion
Recruit, hire, and onboard AEs as the team scales
Partner with Sales Ops, Marketing, and SDRs to improve pipeline quality, conversion, and handoff to Customer Success
Act as a player-coach where needed: get into deals, help close, and model the behaviors you want the team to adopt
Champion the use of AI-native selling techniques and help the team position AI capabilities (Robin) effectively against the competition

We're looking for a Backend Engineer to help build and scale the Machine Learning Platform that powers how we use 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: 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 a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
Design and build rich, data-centric web applications used by researchers worldwide.
Work across the stack with a strong emphasis on frontend architecture, performance, and UX, while collaborating with backend and AI engineers.
Deliver high-quality, scalable, and secure software features end-to-end.
Contribute to architectural discussions, product direction, and team culture.
Help push forward a cutting-edge medical AI co-pilot that turns complex data into actionable insight.

We are at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment - you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you.


What you'll be doing:
Build agentic workflows - loops, graphs, and multi-step pipelines - that carry real hardware network simulation and analysis work end to end.
Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
Build observability across agent runs: what the agent did, where it failed, and why.
Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.

We're looking for a Platform Tech Lead to join our Platform Engineering team.

In this role, you'll help shape the platform that powers all of R&D teams. You'll lead technical decisions, design scalable cloud infrastructure, build high-performance services, and drive engineering excellence across the organization. This is a highly hands-on role for someone who enjoys solving complex technical challenges while influencing architecture, scalability, and developer experience.

What You'll Do

Design, build, and maintain scalable backend services using C# and .NET Core.
Lead the design and evolution of our cloud-native platform and microservices architecture.
Build infrastructure and developer platforms that enable engineering teams to move faster.
Work with Kubernetes, Docker, and cloud platforms (Azure, AWS, or GCP).
Drive architectural decisions with a strong focus on scalability, reliability, security, and performance.
Collaborate closely with engineering teams to improve developer experience and platform capabilities.
Mentor engineers and serve as a technical leader across multiple teams.

We're looking for a Staff Product Designer to help shape the future of how we design- not just by doing great work, but by raising the bar for everyone around you.
This role sits within our Product Design team, based in Tel Aviv. You'll take on the broadest, most complex design challenges we have - owning them end-to-end, driving decisions across teams and disciplines, and influencing how we think about product and design at a company level.
We believe three things matter for every role: 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.
We don't expect designers to know every tool or model. We do expect genuine curiosity - using AI in your process, designing experiences that couldn't exist without it, and staying open to rethinking the work, not just accelerating it.
In this role you'll:
Lead the design of our most complex, high-impact product areas - owning scope end-to-end from problem definition through delivery
Drive decisions across Product, Engineering, Data, and leadership, bringing design perspective into the room early and often
Mentor and elevate designers across the team - through feedback, collaboration, and raising the standard of what great work looks like
Communicate clearly and confidently to all audiences - from teammates to senior leadership, internally and externally
Shape how we approach AI-powered experiences, and help the wider team think bigger about what AI makes possible
Contribute to the strategic direction of our design systems and set the quality bar for craft across the team
Spot gaps in how we work and take ownership of fixing them - whether that's process, tooling, or how design shows up in the product org.

Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
What Youll Do
Design and Build Core Applications: Develop and optimize rich, data-centric web applications used by researchers globally, applying a strong focus on backend, infrastructures, architecture and performance
Contribute Across the Stack: Deliver scalable, secure software features end-to-end. This includes seamlessly integrating the backend with UI applications, other microservices and contributions to our infra domain (K8s, Docker, Terragrunt)
Collaborate on AI Tools: Partner with UI and AI engineers to integrate our cutting-edge medical AI co-pilot, turning complex data insights into practical, user-friendly features.
Influence Strategy and Culture: Actively participate in architectural discussions and product direction, contributing positively to our team's mission-driven culture of quality and ownership.

You wont just be managing projects; you will be driving the future of enterprise AI delivery. You will own the end-to-end delivery of enterprise engagements, taking full accountability for execution from kickoff through UAT, hyper care, and successful production rollout. As the single owner of the plan and the customer relationship, you will lead a dedicated delivery pod, manage critical operational gates, and serve as the main line of defense and strategic boundary for customer escalations.

What Youll Do

Pod Leadership & Customer Ownership: Run the delivery pod as the single owner of the project plan and the customer relationship, driving alignment and execution across all workstreams.
Delivery & Governance: Lead complex enterprise AI deployments, managing project governance, RAID logs, change requests, UAT readiness, and hypercare.
Preconditions & Gates Management: Take full ownership of establishing and validating preconditions and delivery gates directly with the customer to ensure smooth project progression.
Escalation Management: Serve as the primary boundary for demanding day-to-day customer interactions, independently resolving issues and strategically deciding when and how to trigger executive-level escalations.
Client Success & Coordination: Partner with enterprise stakeholders, AI engineers, solution architects, and product teams to translate business requirements into scalable, high-performing workflow plans.

Were looking for a Senior Backend Engineer to help build the core systems powering our company- the infrastructure, APIs, data pipelines, and AI-driven engines behind the product.
Youll own major parts of the backend, work closely with Product, AI, and Frontend, and ship features that are scalable, observable, and secure.
What you will do
What Youll Do
● Build scalable, production-grade backend systems that power our companys core product and AI capabilities
● Own features end-to-end: clarify requirements, design architecture, implement, test, ship, monitor, iterate
● Design and build services that support complex workflows (including AI-driven flows)
● Improve system reliability: observability, monitoring, incident readiness, performance tuning, and cost awareness
● Collaborate tightly with Frontend, Product, and AI/ML to deliver fast iterations with high quality.

We're looking for a Senior Product Designer who combines strong product thinking, UX, and visual craft with genuine curiosity about how AI is changing what we build - and how we build it.
Designers work across customer-facing products, complex internal systems, design systems, and AI-powered experiences. You'll own projects end-to-end, collaborate closely across disciplines, and help explore new approaches to designing and building great products. This role sits within our Product Design team, based in Tel Aviv. Please only apply if you have an up-to-date online portfolio showcasing recent work.
We believe three things matter for every role: 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.
We don't expect designers to know every tool or model. We do expect genuine curiosity - using AI in your process, designing experiences that couldn't exist without it, and staying open to rethinking the work, not just accelerating it.
In this role you'll:
Create delightful user-facing products across web and mobile, turning complex problems into simple, intuitive experiences
Own the design process end-to-end - from understanding the problem and exploring solutions through validation and implementation
Collaborate closely with Product, Engineering, Data, and QA to shape products and drive decisions
Design AI-powered experiences and explore where AI can fundamentally improve a product, workflow, or experience
Use AI throughout your own design process to explore, build, iterate, and work more effectively
Design complex internal systems and contribute to the evolution of our design systems
Share strong product and design perspectives, and help raise the quality and capabilities of the wider design team.

We are seeking an AI Networking Architect to join the Networking Research Group. This role bridges the gap between emerging AI workloads and the data center infrastructure that powers them, working at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What you'll be doing:
Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.
Analyze new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.
Build simulation and hardware platforms, run real AI workloads on them, and develop analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.
Translate research insights and workload behavior into actionable software, xhardware, and networking architecture requirements.
Partner with architecture, software, and product teams to influence our future networking and AI infrastructure roadmaps.
Drive architectural innovation by applying deep workload analysis to production machine learning frameworks.

This is a QA-first role, needing strong manual QA skills and an eye for the risks unique to a CMS-driven site (theme/plugin updates, page builders, third-party scripts, SEO). Automation is a core part of the role - you'll use AI-assisted tools and modern frameworks to steadily expand test coverage and reduce manual overhead.

Responsibilities

Act as a quality champion for the marketing website, fostering a strong testing culture and driving best practices across manual and automated QA.
Collaborate with Marketing stakeholders to validate specifications, align on quality expectations, and ensure smooth release cycles.
Own site quality throughout the development lifecycle - from requirements and design validation to implementation, release, and post-launch monitoring.
Serve as the go-to expert on web quality, acting as the key link between Marketing, Web Development, and external stakeholders.
Write test plans and translate them into automated tests where relevant.
Build regression, functional, and end-to-end tests to protect site quality.
Manually test new features, landing pages, and content updates for release readiness.
Test across browsers and devices for a consistent user experience.
Debug flaky tests and keep automated suites healthy.
Track bugs through to resolution.
Check page performance and SEO-critical elements pre-release.
Partner with Marketing and Web Development to define coverage for upcoming changes.

Were looking for a Senior Frontend Engineer to shape how customers experience our company- from first impression to daily workflows.
This role is for someone who cares about pixel-perfect UI, high quality, and moving fast - without cutting corners. Youll own major parts of the product, work closely with design, and ship features that are both elegant and reliable.
What you will do
Build scalable, production-grade web experiences that set a high bar for UX, quality, and performance.
Take features end-to-end: clarify requirements, design the UI/architecture, implement, test, ship, monitor, iterate.
Drive frontend architecture: component patterns, state management, performance, DX, and maintainability.
Collaborate tightly with Product, Design, and Backend to deliver cohesive experiences and fast iterations.
Raise the bar: improve UI consistency, quality practices, and velocity through good engineering.

We are seeking a DevOps software engineer for our agentic AI team. If you are excited to work at the frontier of AI agents and want your work to multiply the output of hundreds of engineers, we want to hear from you.

What you'll be doing:

Build AI agents that solve real engineering problems across the networking stack, with a focus on the infrastructure and services that bring them into reliable daily use.

Design, build, and operate the platforms that make those agents reliable: MCP tools, service APIs, cloud and on-prem services, and the systems behind them.

Work broadly across networking architecture teams to identify high-impact AI use cases and turn them into working solutions.

Drive rapid and responsible AI adoption across the organization: establish best practices, guardrails, and evaluation methods so teams embrace agentic workflows with confidence.

Build evaluation and observability pipelines that measure AI-agent behavior and platform reliability on real production workloads.