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We're currently seeking a Data Research Team Lead to join our Data Research Group and help proactively drive product growth and performance through the provision of strategic product insights and deep expertise with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key product insights, identify improvement opportunities, and drive data-informed product initiatives forward.
Responsibilities:
Lead and mentor a team of product analysts embedded across product squads, driving high-impact analytics and professional growth.
Own and shape the companys product KPI framework, driving clarity, alignment, and real-time visibility across the organization to ensure every decision is grounded in impact.
Act as a strategic thought partner to Product leadership and executive stakeholders, to translate business strategy into measurable outcomes and data-driven roadmap decisions.
Drive structured analysis around feature development, product performance, and long-term optimization.
Own and oversee analytical data pipelines, ETL processes, and BI development within the team, ensuring scalable, reliable, and well-governed data assets.

we are looking for a Engineering Manager.
As Engineering Manager (Data Platform), you will own this critical layer end-to-end - leading multiple teams responsible for acquiring, transforming, and serving healthcare data at scale.
This role combines people leadership, technical ownership, and strategic influence. You will lead the teams that ingest data from diverse external sources (EMRs, HIEs, external Snowflake instances and more), transform it into core data structures, and reliably serve it to internal and external consumers across the company.
As an architectural owner of one of most critical assets, you will work closely with Product, Engineering, Medical, AI, and Support teams, and play a key role in shaping R&D leadership and long-term growth.
Responsibilities:
People Leadership
Lead, grow, and support multiple data teams (currently two teams), creating an environment where people thrive professionally and personally
Hire top talent and build strong team structures that can scale with the company
Coach, mentor, and up-level managers and senior engineers, fostering ownership and accountability
Promote a culture of excellence, collaboration, and continuous learning
Technology & Architecture
Own data platform end-to-end: ingestion, transformation, storage, and serving layers
Connect business and product needs with pragmatic, scalable technical solutions
Drive architectural decisions that balance speed, quality, reliability, and long-term maintainability
Ensure the data platform supports both current products and future growth
Cross-Company Leadership
Lead complex, cross-team technical initiatives involving Product, Engineering, AI, Medical, and Support
Serve as a key interface between data teams and the rest of the organization
Be a thought partner to product and business leaders on data capabilities and trade-offs
R&D Management
Be an active member of R&D leadership team
Help define priorities, execution plans, and best practices as scales
Contribute to company-wide technical and organizational decisions
AI-First Mindset
Drive adoption of an AI-first approach to building, running, testing, maintaining, and documenting systems
Encourage the use of AI tools and practices to increase team efficiency, quality, and innovation
Help redefine how data platforms are built and operated in an AI-native company

What will you do
Lead the design, development, and optimization of core backend services using Java and modern JVM technologies.
Own the architecture and performance of mission-critical components: data ingestion, processing pipelines, distributed services, storage abstractions, and internal frameworks.
Drive large-scale refactoring, modernization, and reliability initiatives.
Establish and maintain high engineering standards, code quality, and best practices across the entire R&D
Build and improve systems that handle high throughput, low latency, and massive data scale.
Work closely with DevOps/SRE/R&D teams to strengthen infrastructure, observability, automation, and deployment practices.
Diagnose complex production issues spanning multiple services, layers, and technologies.
Continuously improve system performance, resource efficiency, and cost footprint.
Lead, mentor, and grow a team of backend engineers and define best practices for the entire R&D
Conduct technical reviews, coaching, and hands-on training to elevate the teams skill set and the R&D
Collaborate with cross-functional teams to understand platform needs and translate them into a clear engineering roadmap.

Required AI Architect
Position Overview:
As the AI Architect for our SaaS Platform & Products, you will define and drive the end-to-end AI architecture that powers our cloud AI platform and product capabilities, while ensuring strong alignment with security, privacy, reliability and cost-efficiency requirements. You will partner closely with engineering leaders, product management, data science, security and operations to translate business needs into a scalable, governed and AI platform that accelerates innovation across multiple product lines.
This is a hands-on architecture role: you will set technical direction, run architectural reviews, and build prototypes to validate technology choices and de-risk delivery.
Key Responsibilities:
Own the AI Vision: Take end-to-end ownership of the AI architecture across, including our cloud AI platform, agentic AI infrastructure, and on-prem/hybrid AI deployments.
Architect an AI Platform for SaaS Products: Define reference architectures and shared building blocks (e.g., AI gateways, orchestration runtimes, memory/RAG systems, vector search, evaluation frameworks, observability, and guardrails) that can be adopted consistently across products and teams.
Cost Optimization and Scalability: Provide architectural leadership to ensure AI systems are designed for cost efficiency and scalability, actively identify and implement opportunities to optimize cloud spend (FinOps), improve utilization, and meet latency/SLO targets.
Product-Centric Collaboration: Collaborate with engineering, product, data science, security, and operations teams to translate product requirements and business needs into a strategic AI architecture that drives measurable product value.
Technology Evolution and Prototyping: Evaluate new technologies, tools, and methodologies to continuously improve our AI systems, build prototypes and proof-of-concepts to validate approaches and accelerate decision-making.
Technical Reviews, Standards and Mentorship: Lead technical design reviews and provide guidance on best practices and emerging technologies. Act as a technical authority and mentor, fostering a culture of engineering excellence and pragmatic delivery.
AI Governance, Privacy and Security: Ensure AI capabilities comply with data privacy, security, and ethical AI guidelines. Partner with security and legal stakeholders to implement governance controls and risk mitigations appropriate for regulated environments.

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team.You will drive end-to-end development of technical foundation and platform services that empower all of our teams, influencing both product capabilities and technical decisions.
Responsibilities:
Lead development processes from ideation to production
Develop, implement, and maintain the platform's foundational services, including web applications, APIs, and essential internal solutions.
Collaborate with multiple engineering teams, product, and medical teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry

As a Senior Software Engineer for our company Asset Beacon, you will be a key technical contributor driving the development of innovative solutions for commercial real estate asset management. Working within a collaborative engineering team, you will take ownership of complex technical challenges across the full development lifecycle, designing and implementing robust, scalable solutions that translate business requirements into actionable insights and streamlined experiences for real estate professionals.
You will collaborate closely with the engineering and data team, product managers, and global distributed teams to build and enhance both frontend and backend components. A significant focus involves exploring and implementing AI-driven capabilities, identifying opportunities to integrate artificial intelligence for enhanced automation, predictive analytics, and intelligent decision-making tools. Your full-stack development skills and architectural mindset will be essential in advancing the platform's technical capabilities while contributing to a culture of innovation and continuous improvement.
This role offers the opportunity to make a direct impact on the real estate industry through cutting-edge technology, working with modern development practices and contributing to solutions that help optimize asset performance and drive business value for commercial real estate professionals worldwide.
Responsibilities:
General responsibilities
Build and maintain infrastructure for the platform and manage aspects of the release cycle
Conduct regular code reviews, provide technical guidance, and support professional development of team members
Manage planning, task allocation, and technical delivery timelines
Foster a collaborative, innovative culture within and across teams
Stakeholder Management
Communicate technical constraints, opportunities, and progress to non-technical stakeholders
Collaborate with internal developers and external partners to align on development
roduct Collaboration
Coordinate closely with the product team to understand requirements and deliver solutions
Develop features from conception through release with attention to user experience
Ensure technical solutions address business requirements
Our Technologies:
Frontend: VueJS, SASS/CSS
Backend: Python, Django, FastAPI
Database: SQL with ORM integration
DevOps: Docker, Kubernetes, Helm, GitHub Actions
AI Tools: Cursor, OpenAI Agents SDK, LLMs.

We're hiring for a new AI Engineering team in Tel Aviv, and you would be the first infrastructure hire. You will own the platform layer for AI agents the team builds: deployment architecture, observability, and production reliability.
The team's first two projects: an agent that automates internal governance processes (vendor reviews, security questionnaires, tool provisioning), and an agent that helps engineering teams prepare for architecture reviews. Both integrate with external APIs (LLM providers, OneTrust, ServiceNow), handle structured decision logic, and manage sensitive data flows with audit requirements.
Highlights
- Greenfield, but with real constraints. You're building on Azure/AWS with enterprise security requirements. The challenge is designing deployment and observability for LLM-backed services. You need to track output quality, cost per invocation, and model drift.
- Enterprise complexity, startup autonomy. Ownership and greenfield environment of a startup, with the integration challenges of a Fortune 200: connecting AI services to real enterprise systems.
- More than infrastructure. Your core is SRE, but you'll also write agent code in TypeScript and Python, work with data pipelines, and ship features alongside the team.
What the Work Looks Like
AI Service Infrastructure - Design and maintain deployment and release infrastructure for AI agents. The stack is cloud-native (Azure/AWS), with services that call LLM APIs, connect to enterprise systems, and handle structured data.
Observability & Reliability - Build monitoring and observability for AI services. Ensure model response quality doesn't degrade silently by tracking errors, logging cost spikes, and monitoring upstream API changes.
Security & Compliance - These agents handle sensitive workflows with elevated security requirements. You will work with our company's security team on standards, but you own how they're implemented in the infrastructure.
Developer Experience - Create tooling that makes it easy for the team to build, test, and deploy. The patterns you set become the team's defaults.

We are looking for a Tech Lead to serve as the technical "center point" for our Population Health engineering group. In this high-leverage, non-managerial role, you will float between multiple feature teams to solve the most complex architectural challenges, unblock technical debt, and ensure our systems scale as fast as our data does.
You aren't just building features; you are building the engine that powers them. You will spend 70-80% of your time hands-on-coding, architecting, and creating the shared tools that make every other engineer in the group faster and more effective.
Responsibilities:
Architectural Glue: Own the technical "contracts" (APIs) between teams to ensure seamless integration across the Pop Health ecosystem.
Performance & Scalability: Optimize our engines and application layer to handle massive clinical datasets, ensuring our UI remains snappy and our backend is resilient.
Data Pipeline Strategy: Lead the design and implementation of scalable BI data pipelines and robust ETL/ELT processes that transform complex clinical data into actionable insights.
Force Multiplier: Identify friction points in the development lifecycle and build internal tools or libraries to increase engineering velocity.
Technical Stewardship: Provide high-level code reviews, author RFCs for major architectural shifts, and mentor senior engineers through complex technical hurdles.

We are looking for an experienced Product Manager to lead Diagnosis Insights domain - responsible for the intelligence layer that powers our clinical suggestions and diagnosis capture experience across patient populations.
This role sits at the intersection of clinical reasoning, data, and AI. You will define, refine, and scale the logic behind diagnosis insights - owning the end-to-end experience from medical modeling through how suggestions are surfaced to clinicians and others. Your mission is to drive superior accuracy, broad coverage, and measurable impact across patient types and care models.
This position is ideal for a PM who combines strong analytical and technical depth with clinical intuition, and who is excited to build AI-powered products that influence real-world clinical decisions at scale.
Responsibilities:
Define and drive the product roadmap for Diagnosis Insights domain. Own the long-term vision for diagnosis suggestion ecosystem - from medical logic and model strategy to how insights are presented, prioritized, and acted upon by clinicians.
Own and define KPIs, including model coverage and precision, alongside end-user adoption metrics (e.g., physician address rate).
Lead core product interfaces: Own the insights experience on both the physician and administrative teams' interfaces.
Work closely with Engineering, Data Scientists, Medical Experts while actively engaging with clients and end users to deeply understand their desired outcomes, and validate new ways to improve our suggestion algorithm.
Translate customer and business requirements into PRDs, technical specifications, and logical flows for the Engine and Core teams.
Explain complex medical logic in simple, non-technical language to internal stakeholders (Support, CSM, Implementation teams) and support generate internal product documentation.
Use SQL and analytical skills to interrogate data, evaluate logic performance, and validate improvements.
Own and manage the product backlog, prioritizing requests based on customer impact, business goals, and urgency.

we are looking for a talented Senior Software Engineer
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry

Were looking for exceptional Senior Engineers who take full ownership of their work-from technical design through implementation and into real-world usage. This is a hands-on role for individuals who bring strong engineering fundamentals, curiosity across the stack, and a high standard for quality and reliability.
Youll join a team that values autonomy, deep thinking, and the ability to navigate both frontend and backend challenges. We expect engineers to care about how their systems behave in production-not just whether they compile-and to help build reliable, scalable software that stands up to real-world demands.
What Youll Do
Design, implement, and ship end-to-end features spanning web, mobile, backend, and infrastructure layers
Tutor, guide and help to nurture a culture of technical excellence throughout the development organization
Own your code through its lifecycle-from spec and architecture to deployment, monitoring, and evolution
Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
Work closely with product and design to define technical solutions that deliver real user impact
Improve system architecture, performance, and development practices over time
Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality.

Were looking for exceptional Senior Full Stack Engineers who take full ownership of their work-from technical design through implementation and into real-world usage.
This is a hands-on role for individuals who bring strong engineering fundamentals, curiosity across the stack, and a high standard for quality and reliability.
Youll join a team that values autonomy, deep thinking, and the ability to navigate both frontend and backend challenges.
We expect engineers to care about how their systems behave in production-not just whether they compile-and to help build reliable, scalable software that stands up to real-world demands.
What Youll Do :
Design, implement, and ship end-to-end features spanning web, mobile, backend, and infrastructure layers
Tutor, guide and help to nurture a culture of technical excellence throughout the development organization
Own your code through its lifecycle-from spec and architecture to deployment, monitoring, and evolution
Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
Work closely with product and design to define technical solutions that deliver real user impact
Improve system architecture, performance, and development practices over time
Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality.

We're looking for an exceptional Senior Frontend Developer who takes full ownership of their work-from technical design through implementation and into real-world usage. This is a hands-on role for individuals who bring strong frontend engineering fundamentals, deep web security knowledge, and a high standard for quality and reliability.
You'll join a team that values autonomy, deep thinking, and the ability to architect and deliver complex frontend solutions end-to-end. We expect engineers to care about how their applications behave in production-not just whether they build-and to help create secure, performant web applications that stand up to real-world demands.
What youll do:
Design, implement, and ship complex frontend features for our admin portal and customer-facing applications
Architect scalable frontend systems using modern patterns like micro-frontends and module federation
Own your code through its lifecycle-from spec and architecture to deployment, monitoring, and evolution
Implement and champion web security best practices (CSP, CORS, HSTS, XSS prevention)
Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
Work closely with product, design, and backend teams to define technical solutions that deliver real user impact
Improve system architecture, performance, and development practices over time
Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality.

we are looking for a talented and Senior Data Engineer to join our data group.
The team is responsible for processing and transforming data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Designing and implementing data platform
Transforming, modeling, and serving all medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.

We are looking for an experienced Senior Software Engineer to drive the development of our high-performance client applications and the FlexID product ecosystem. This role is unique: while you will maintain and evolve our deep Windows C++ integrations, you will also take ownership of the broader FlexID server and web components that power our product across diverse environments.
Our solution is deployed both On-Premises and as a Cloud-Hosted managed service. This requires an engineer who can solve complex problems at the OS level while ensuring the entire product suite remains robust and scalable within virtualized and hosted infrastructures.
What Youll Do:
Develop and optimize Windows-based client applications using modern C++.
Work closely with Windows OS components, including Windows Registry, COM API, Windows Events, and system services.
Design and implement security-related features, integrating cryptographic protocols and authentication mechanisms.
Debug, profile, and optimize performance to ensure reliability and efficiency.
Collaborate with backend teams, security experts, and product managers to deliver secure, scalable solutions.
Stay ahead of industry trends in security, Windows development, and authentication technologies.
Cross-Stack Development: Maintain and optimize high-performance Windows client applications in modern C++ while contributing to the broader FlexID web and server ecosystem.
System-to-Cloud Integration: Build and support features that bridge legacy Windows components (Registry, COM API, Services) with modern, platform-agnostic cloud services.
Hybrid Deployment: Architect solutions that satisfy the unique constraints of both on-premises enterprise installs and scalable Cloud environments.
Security & Identity: Design and implement cryptographic protocols and authentication mechanisms (e.g., RSA, SHA, Certificates, OIDC) across the entire product suite.
Full-Lifecycle Ownership: Collaborate with backend and security teams to deliver end-to-end features, from low-level system hooks to high-level user interfaces.