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Were looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. Youll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. Youll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.
Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.
Responsibilities:
Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows - designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data

We are looking for a skilled and motivated Field Engineer to join our technical team. In this role, you will be responsible for the end-to-end installation and configuration of our systems at customer sites worldwide. This position is ideal for a hands-on professional who enjoys working with both complex software environments and physical infrastructure. The role includes significant on-site work and frequent travel to support clients in Israel and abroad.
Responsib\ilities:
On-site Installation: Lead physical deployments, including racking, cabling, and connecting power and networking infrastructure at client sites
System Configuration: Install and configure Ubuntu/Linux-based environments and ensure seamless integration with client networks
Tier 2 Support & Maintenance: Provide technical support to international customers during installation and as part of ongoing post-installation support
Networking: Troubleshoot and optimize network connectivity (TCP/IP, DNS, firewalls) to ensure system stability
Documentation: Maintain technical deployment guides and site visit reports

A full-time Software Engineer role where you will take ownership of core features across the stack - mainly from backend to frontend - and contribute to the architecture, scalability, and performance of our company's AI-driven healthcare platform.
Key Responsibilities
Own core features end-to-end, from backend to frontend
Contribute to architecture, scalability, and performance of our AI platform
Work closely with R&D, Product, Clinical, and Data teams
Design and implement intelligent, production-grade systems leveraging LLMs, serverless infrastructure, and real-time data.

A full-time Applied AI Engineer role focused on building and optimizing our LLM-powered clinical compliance engine. You will design, implement, and refine AI systems that analyze clinical documentation, detect compliance issues, and generate actionable insights for healthcare providers.
Key Responsibilities
Design and implement LLM-based rule engines for clinical compliance detection
Build RAG systems and semantic search pipelines for clinical documentation
Optimize prompts, fine-tune models, and evaluate AI system performance
Collaborate with clinical experts to translate regulatory requirements into AI workflows
Monitor and improve AI accuracy, latency, and cost efficiency in production
Develop evaluation frameworks and testing strategies for AI outputs.

We're looking for a Senior Software Engineer to own real parts of it.
What you'll actually do?
Own entire pieces of the product- from "here's a vague problem" to "it's running for enterprise customers".
Design systems that survive real scale: multi-tenant, high-volume, real-time, always-on.
Move fast with AI agents, and stay completely responsible for what lands in production.
Make the team better: your tooling, your workflows, whatever you figured out last weekend.

As Operations Associate you will be responsible for the correct onboarding, monitoring and day-to-day operation of a subset of our partners. They are essential to our profitability.

You will partner with the CSM, Product and Data teams to ensure nothing falls between the cracks.

The main tasks expected are:
Timely onboard any new customer to the external providers you are responsible of.
Monitor performance and raise issues to the product team for those to be fixed.
Identify improvement paths to the exchange of new data and propose solutions.
Automate as much of the work as possible so you can focus on higher value added tasks.

What you'll do:
Track, measure, automate and debug revenue generation processes around dispute representment and technical related integrations.
Oversee our partnerships with revenue generation partner companies.
Track margins and collections for all customers and work with the CS team to enforce needed actions.
Partner with Product to automate repetitive CS tasks and build quicker processes to ensure smooth collaboration between us and our customers, as well as internally.

-6+ years of experience in machine learning engineering or applied AI, with a preference for an MSc or PhD in a relevant field.
Hands-on experience building and deploying large-scale production systems with machine learning components.
Practical experience with modern AI architectures, including LLMs, RAG pipelines, vector search, and prompt orchestration.
Strong backend engineering experience and familiarity with building production services.
Experience implementing and productionizing AI frameworks with automated testing, monitoring, and data quality controls.
Strong architectural thinking and algorithmic intuition for model selection, evaluation, and optimization.
Ability to work independently in fast-moving environments and take ownership of complex technical challenges.

If you're ready for the next big step in your software development career, read on.
You'll work across the frontend and backend systems that form the backbone of the platform: responsive, scalable interfaces on one side, and reliable backend services and APIs on the other. Our stack is Python, React, TypeScript, FastAPI, and several more database types running on Kubernetes, with an emphasis on performant, secure, and reliable systems.
You'll work directly with product, design, and the rest of engineering, on a team small enough that you'll shape the architecture and the roadmap, not just execute against them.
Responsibilities:
Develop and maintain the core architecture of our AI agent platform, across both frontend and backend
Design and deploy scalable APIs, microservices, and backend systems in Python (FastAPI, Flask, or Django)
Build high-quality, responsive UIs in React and TypeScript: reusable components, optimized for performance and accessibility
Build with coding agents as a primary mode of work, and help define how our team does it well, including tooling, review standards, and the guardrails that keep quality high
Own features end to end, from architecture through production deployment. Yes, this means brand new pillars in the platform
Maintain high code quality through testing, code review, and clear standards, which matters even more given how much code we generate

As an AI Expert at our company, youll take full ownership of AI-powered product capabilities - from concept to production. Youll work closely with Product, Engineering, and Security domain experts to build practical, reliable AI systems that improve how teams operate and secure cloud environments. This is an applied role: we care about shipping, adoption, and measurable outcomes. Youll engage with users, test MVPs in production, iterate quickly based on feedback, and make sure what you build holds up in the real world. And yes youll also jump in as a Support Hero when needed, helping customers succeed and learning directly from how they work.
Key Responsibilities
Build and ship AI features that improve cloud security operations (e.g., control recommendations, drift detection explanations, guided remediation, policy generation, investigations, workflow automation).
Design and implement AI agents tuned for cloud-security tasks, including the surrounding framework (tools, permissions, orchestration, guardrails, and automation).
Apply deep understanding of cloud security domains (IAM, network controls, logging/telemetry, posture management, governance, misconfiguration, threat scenarios) to guide product decisions and ensure the AI behaves safely and correctly.
Integrate with multi-cloud APIs and security controls (AWS/Azure/GCP/OCI), building end-to-end flows from user intent → actionable outcome. Create and maintain evaluation methods for model quality (accuracy, coverage, hallucination rates, latency, cost, and user satisfaction) and build tooling to continuously measure performance in production.
Build data and feedback loops to keep systems relevant over time (user corrections, outcome tracking, regression testing, prompt/model iteration).
Stay current with practical advancements in LLMs/agents and engineering patterns, and adopt whats useful (not hype) into production.

As a Software Engineer at our company, youll truly work across the full stack. Youll design and deliver front-end experiences (we dont rely on pre-set designs), and depending on your team, youll also build high-scale, high-availability services in Go and manage infrastructure setup.
Key Responsibilities
As a Senior Software Engineer, youll take full ownership of products and features - from concept to delivery.
Youll engage with users, align with our strategic direction, and identify what you and the team should build next.
Youll have the opportunity to test MVPs directly in production with real users, iterate quickly based on feedback, and ensure the long-term success of your work.
And yes -youll also jump in as a Support Hero, helping customers and making sure they enjoy an exceptional experience.

We are looking for a Product Hybrid Engineer - a true Individual Builder who operates at the intersection of engineering, product, and design. You are not just here to implement tickets; you are here to challenge the roadmap, talk directly to customers, and drive innovation from ideation to production.

In this role, you will run fast on multiple high-impact projects, using AI to amplify your impact and speed. You will have the autonomy to make architectural and product decisions, moving with the speed and spirit of an entrepreneur within the company.

What youll do
Build End-to-End: You will not just build products; you will build the systems that power them. You will take concepts from a rough idea to a deployed, scalable production system autonomously.
Leverage AI to Move Fast: You will utilize the newest AI tools to accelerate your workflow, allowing you to focus on high-level architecture, complex problem-solving, and customer value rather than boilerplate coding.
Drive Product Innovation: You will work directly with customers to understand their pain points. You are expected to challenge Product Managers, Designers and Leadership, offering alternative solutions and driving ideation based on your technical and product insights.
Own the Architecture: While frameworks change, architecture persists. You will design robust systems that can scale, ensuring we arent just shipping quick and dirty prototypes but enterprise-grade software.
Operate with Autonomy: You will manage your own priorities and projects, navigating ambiguity without needing constant direction. You focus on outcomes, not output.

As a Senior Frontend Engineer , you will play a key role in shaping the user experience of a product that truly changes lives. Youll work on a user-facing product used daily by people who are Deaf or hard of hearing, turning complex communication challenges into intuitive, accessible, and high-performance experiences.

This role is ideal for an experienced frontend engineer with strong product understanding, who cares deeply about users, performance, and design. This role is not just about coding, but about building frontend features that have real impact for users.

On a day to day, you will:

Design, build, and maintain rich, accessible frontend experiences across web and mobile products.
Own features end-to-end: from understanding user needs and product requirements to development, testing, and production.
Collaborate closely with Product, Design, and Backend teams to define flows, UX, and technical solutions.
Translate high-level product requirements into scalable, maintainable frontend architecture.
Solve complex UI and performance challenges, including real-time and async interactions.
Continuously improve code quality, frontend standards, and developer experience.
Take part in code reviews, technical discussions, and architectural decisions.
Bring product-oriented thinking and propose improvements that have real user impact.

As a Senior Software Engineer , you will play a pivotal role in shaping experiences that truly make communication accessible for people who are Deaf or hard of hearing. You will work across the stack - designing, building, and maintaining features that turn complex communication challenges into intuitive, high-performance solutions. This role is ideal for an experienced engineer with strong product sense, who cares deeply about users, accessibility, performance, and scalable design.

On a day-to-day, you will:

Own features and systems end-to-end: from understanding the user problem, through architecture, development, and operating it in production.
Design, build, and operate high-scale backend infrastructure serving users with real-time, low-latency requirements.
Collaborate directly with product and engineering to shape what we build, not just how we build it.
Dig into complex production issues - performance, reliability, data processing - and solve them under real constraints.
Continuously improve system architecture, observability, and development practices.
Leverage AI as part of the daily engineering work to accelerate development.

we are looking for a Engineering Team Lead.
Responsibilities:
Lead, mentor, and grow a cross-functional team of backend, frontend, and research engineers.
Act as a hands-on technical leader: design critical systems, write production code when needed, and set a high engineering bar.
Own backend systems end-to-end, from architecture and design through implementation and production delivery.
Drive technical direction and architectural decisions for large-scale cybersecurity platforms.
Lead the delivery of complex LLM- and agent-based solutions to production, ensuring they meet enterprise standards for reliability, scalability, security, and observability.
Partner closely with Product, Research, and Client Services to translate complex technical challenges into clear, high-impact product capabilities.
Ensure backend systems are built with a strong emphasis on security, correctness, and long-term maintainability.
Review code, guide design decisions, and promote best practices across the team.
Foster a culture of ownership, collaboration, and continuous improvement.

We are looking for a high-ambition engineer to join our team in Israel and own the
intelligence layer of our platform: the agents that analyze customer codebases, reason about
vulnerabilities, and produce remediations autonomously.
First and foremost, this is a senior software engineering role. You will design and build production services, write code across the stack, and own what you ship end to end - the AI agents are software, and you build the systems they run on. This is not a prompt-tweaking role: you will design multi-step agentic systems end to end - context engineering, tool design, orchestration, evaluation, and production monitoring - on a "zero legacy" stack (Python, Temporal, K8s, and frontier LLMs). We value a low-ego mindset and a passion for solving deep technical challenges in a fast-paced, collaborative environment.