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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 actively seeking a hands-on Implementation Engineer to play a vital role in the success of our customers. Standing at the intersection of technology and customer success, you will be responsible for translating AI and data requirements into seamless integrations with our customers' EMRs and clinical workflows.
In this role, you will own the end-to-end technical onboarding lifecycle - from initiation to go-live. You will serve as the primary technical voice for our customers' IT stakeholders and collaborate closely with our Product, R&D, and Medical teams to ensure frictionless integrations.
Responsibilities:
Lead Technical Onboarding: Own the full technical implementation lifecycle for new customers, ensuring projects are delivered on time, within scope, and meet high-quality standards.
EMR Integration & Configuration: Execute hands-on technical integration efforts. You will configure workflows, validate data integrity, and ensure interacts seamlessly with various EMR environments.
Stakeholder Management: Act as the primary technical point of contact for customer IT teams (CTOs, IT Managers, Analysts). Build strong relationships to troubleshoot issues and facilitate smooth collaboration.
Technical Subject Matter Expert: Represent the technical aspects of the platform in customer interactions. Demonstrate deep product knowledge to solve complex workflow challenges.
Cross-Functional Collaboration: Work closely with Customer Success, Product, R&D, and Medical teams to advocate for customer needs and streamline the feedback loop between the field and engineering.
Process Optimization: Help design and develop automation tools, runbooks, and frameworks to streamline integration processes and improve scalability.

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 Product Marketing Manager.
Responsibilities include:
Support commercialization and go-to-market of new products and features - including positioning, packaging, pricing, competitive landscape - and product roadmap based on deep understanding of market needs.
Work with the product team to analyze needs and our value proposition per persona and educate both internal and external stakeholders on our product features and their benefits.
Improve new logo and upsell win rates with a differentiated, data-driven value story that you bring to life with a suite of market-facing materials and tools for our GTM team
Sales enablement: Provide strategic support and tailored assets for high-value, strategic sales and client meetings in partnership with sales, product, and marketing teams
Initiate assets and content creation (e.g. case studies, data sheets, solution briefs, product videos, website copy, release announcements) to articulate the benefits of the product to the world
Maintain product and service-line documentation for our care delivery products

We're looking for an AI and Automation Engineer to join our Automation team and help build the internal tools, AI agents and automation systems that power how we operate.
This role combines hands-on engineering with impactful product development. The work is split between writing code (TypeScript, React, Python) and designing and implementing automation workflows using low-code platforms.
You'll take part in building intuitive internal web applications that teams enjoy using, developing AI-driven solutions that streamline repetitive processes, creating insightful dashboards to support decision-making, and integrating systems that help the business run smoothly and efficiently.
You'll work alongside our Tech Lead and a US-based IT Automation Engineer, contributing across the full spectrum from designing React-based internal tools to building RAG pipelines to orchestrating multi-step business workflows.
What You'll Do
Design and build internal web applications using TypeScript and React that serve teams across the organization.
Create intuitive interfaces that make AI capabilities and automation outputs accessible to non-technical users.
Build and maintain RAG pipelines - including document processing, embedding, vector storage, retrieval, and evaluation.
Work with LLM APIs (Claude API, OpenAI API, AWS Bedrock, Vertex) and implement prompt engineering patterns (tool/function calling, structured outputs, few-shot) with proBuild connectors, APIs, and data flows that keep systems in sync and processes running smoothly.
Work with data from across the business to support decision-making.
Design and maintain automation workflows using low-code/no-code platforms (Workato).
Integrate AI solutions into core business tools - Slack, Jira, Salesforce etc.

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

We are looking for a strategic, hands-on, and data-driven VP Retention & Customer Value to own and maximize the lifetime value of our customers. This role will lead the companys retention, lifecycle marketing, and customer value strategy, with the goal of increasing repeat usage, strengthening customer loyalty, reducing churn, and improving overall customer profitability.
The VP Customer Value will work closely with Marketing, Product, Data, Operations, Category Managers, Country Managers, and Support Managers to optimize the entire customer journey from first purchase through long-term engagement.
Responsibilities
Own and lead the companys LTV growth strategy, focusing on repeat purchases, order frequency, and overall customer profitability.
Identify opportunities to increase average order value, repeat purchases, and overall customer profitability.
Design and implement retention and lifecycle strategies that improve customer engagement and drive repeat usage of Helpy services.
Develop and manage loyalty initiatives, engagement campaigns, and value-added services that strengthen customer relationships.
Analyze customer behavior, segment audiences, and identify opportunities for deeper engagement and higher value.
Partner with Marketing, Product, and Operations teams to deliver personalized customer experiences.
Monitor and optimize retention funnels, churn patterns, and engagement metrics to continuously improve customer value.
Measure and report on key retention and engagement KPIs: Customer Lifetime Value (LTV), Repeat Purchase Rate, Order Frequency, Retention/Churn, Average Revenue per Customer, and Customer Engagement Metrics.
Build, mentor, and lead a high-performing Customer Value team responsible for CRM, retention marketing, and customer insights.
Own and grow the Loyalty / Membership Club, increasing engagement and participation.
Strengthen and expand subscription offerings, driving higher adoption and revenue.
Manage VIP customer retention, enhancing loyalty and maximizing lifetime value.
Experience in monetization and B2B sales to advertiser clients.

We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.
This role sits at the intersection of business operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.
You will be a technical force multiplier for our GTM team including creating workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).
This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.
What youll do:
Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
Own workflow performance, review success metrics, iterate and demonstrate business impact.
Build and maintain AI-assisted pipeline inspection tools to give RevOps and Sales Leadership real-time visibility into deal health
Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
Drive adoption through enablement: documentation, training, and ongoing feedback loops
Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability.

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.