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As a Full Stack Engineer, youll help shape the brain and heartbeat of our product. This isnt a narrow coding role, youll own problems end-to-end, from first sketch to shipping, and watch your work come alive in production within weeks. Youll join a tight, ambitious team where every engineer helps define both the product and the culture.
What youll do
Work across the stack, from frontend polish to backend resilience.
Collaborate with product and design to shape features, not just code them.
Ship fast, ship often, and still take pride in craft.
Explore and integrate advanced AI (LLMs, GenAI) into a production-grade product.
Turn customer feedback into product improvements that stick.
How we work
In-office, side-by-side, with quick feedback and faster shipping.
Pragmatic and product-first: no feature ships unless it makes a real impact.
Supportive but demanding: we hold a high bar and help each other reach it.
The tools we use (today - youll help shape tomorrow)
Powering the logic that makes hardware data come alive in our backend is Python. On the frontend, React and TypeScript give users a simple, intuitive way to work with complex information. Everything runs in the cloud - AWS and GCP - with containerized microservices (and Kubernetes keeping the gears turning smoothly) ensuring we can ship fast and scale seamlessly. For intelligence, we weave in LLMs and data pipelines to unlock insights from documents. And for resilience, our real-time monitoring keeps an eye on the moving parts - so the system stays as reliable as the products it supports.

Were looking for a Product Manager to own our core platform domain end-to-end. Youll drive the product development from ideation through development to launch and customer adoption, ensuring every feature delivers real value to our customers.
Key Responsibilities:
Manage the product lifecycle for core platform capabilities
Translate company strategy into actionable roadmaps and prioritized backlogs, balancing customer requirements, market requirements, and technical considerations
Work closely with R&D to deliver features on time and to spec, ensuring alignment between customer needs and technical execution
Engage with customers and stakeholders to validate scope, gather feedback, and support improvements throughout the product lifecycle
Collaborate with pre and post-sales teams to support sales cycles and customer satisfaction.

About The Position
Lead the architecture and technical direction of a new product initiative at our company(0→1)
Design and build complex, high-performance systems from the ground up
Define core architectural principles, technology choices, and system design
Work hands-on on critical parts of the system and drive implementation
Establish high engineering standards (performance, reliability, scalability, code quality)
Drive technical decision-making in an ambiguous, fast-evolving environment
Collaborate closely with product and leadership to shape the product and its technical vision.

We are looking for a QA/RA Manager to join our team. This is a hands-on, onsite role, based at our offices in New York or Tel Aviv.

Youll be responsible for implementing and executing QA activities throughout the software development lifecycle (SDLC), while supporting the Company compliance in accordance with applicable regulatory standards e.g ISO 13485, ISO 27001, SOC 2, ISO 14971, IEC 62304, HIPAA etc.).

You will work closely with R&D, Product and Operations teams to ensure quality is embedded from design through post-release.

Responsibilities:
Lead and oversee QA/RA activities across the full software development lifecycle (SDLC), including design controls, documentation, verification & validation, traceability, and regulatory compliance (ISO 13485, ISO 14971, IEC 62304, CE/FDA), while supporting release processes and audits.
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Drive continuous improvement of core QMS processes (e.g ECO, CAPA, non-conformances, complaints, document control, management review, suppliers, training, human resources activities etc.), collaborate cross-functionally to enforce quality gates, and provide QA/RA guidance from product concept through post-market activities.

About The Position
Design, develop, test and maintain high-performance backend services.
Collaborate with cross-functional teams to ensure seamless integration with frontend and other components.
Stay updated with industry trends and emerging technologies to enhance our backend infrastructure.
Contribute to code reviews, architectural discussions, and knowledge sharing within the team.

As a Senior Full Stack Engineer, you play a pivotal role in designing and building scalable, high-performance applications. Youll work across the stack, from intuitive user interfaces while building robust, secure backend systems. In addition, you will provide technical leadership, mentor other engineers, and potentially lead a small team while remaining hands-on in development.
Key Responsibilities:
Lead by example through technical guidance, code reviews, and mentorship.
Drive architectural decisions, best practices, and collaboration with leadership.
Remain hands-on in developing high-performance, secure applications across frontend (React) and backend (Node.js/TypeScript).
Work with diverse data sources and modern databases while ensuring scalability, reliability, and observability.
Design and develop high-performance, user-friendly frontend applications using React and modern UI frameworks.
Collaborate with engineers, designers, and product teams to deliver impactful features.
Build and maintain a platform, deployed both on cloud (SaaS) and on-premises.

we are pioneering the future of Product Security with the first AI Security Architect. As AI transforms how software gets built, were reshaping how it gets secured, shifting security to the design phase, where the biggest impact is made.
Backed by top-tier investors and already trusted by Fortune 500s, we are defining a new category and setting the standard for how AI will power the next generation of secure software development.
At our company, we are pioneering the integration of AI and cybersecurity to empower product security teams. As a Senior Back End Engineer, you will play a crucial role in designing, building, and optimizing the core backend systems that power our advanced AI-driven security tools. Your work will be instrumental in ensuring that our platforms are scalable, secure, and efficient, enabling our AI engines to process vast amounts of data, assess risks, and deliver actionable insights.
What you will do:
Design, develop, and maintain robust and scalable backend systems to support our company's AI-driven security tools
Collaborate with the AI, front-end, and product teams to integrate backend services with AI models and data processing pipelines
Optimize the performance and reliability of backend services, ensuring low latency and high availability
Implement and manage APIs that facilitate seamless integration with external systems and internal components
Ensure that backend architecture adheres to security best practices, safeguarding sensitive data and maintaining compliance with industry standards
Monitor, debug, and resolve any issues in the production environment to maintain system health and uptime.

We are looking for a Data Products Engineer to take full ownership of our companys internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.
Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.
How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

As a AI-Data Engineer, youll take a leading role in building the foundation of our companys Agentic Exposure Management platform: the source of truth that tells a security team what they have, whats actually risky and why, how to fix it, and who is responsible.
Enterprises run their security across a sprawl of cloud and on-prem tools. Making sense of that sprawl is the heart of what we do. Were building a complex data fabric that reconciles data from a hundred different sources, applies sophisticated transformation and enrichment, and turns partial, uncertain signal into one trustworthy model of an organizations real exposure.
Key Responsibilities:
Model the security graph. Design an ontology that spans both the modern cloud and the classical on-prem world, abstract enough to absorb 100+ different integrations under one model, yet rich enough to carry everything needed for decision making. Decide whats an entity, whats an edge, and whats a denormalized attribute, across millions of assets and finding rows.
Own asset identity engineering and reconciliation. Upstream identifiers are uncertain and volatile. Engineer deterministic identity resolution for assets and findings arriving from different vendors.
Build LLM-based and agentic pipelines for data classification, entity extraction, and enrichment, optimizing for cost, latency, and precision in production.
Build the integration factory. Stand up a scalable integration platform that drives down time-to-integration.
Build and maintain complex ETL pipelines handling millions of records: incremental sync, complex correlation, and data quality observability and monitoring.

About The Position
Design, develop, and maintain high-performance Linux kernel drivers.
Collaborate with cross-functional teams to ensure seamless integration with Data-Path and other software components.
Stay updated with industry trends and emerging technologies to enhance the teams knowledge, especially in Linux and the Kernel domains.
Contribute to code reviews, architectural discussions, and knowledge sharing within the team.
Ensure high quality standards and business outcomes for our customers.

We are looking for a Growth Marketing Specialist with experience in B2B healthcare marketing in the US market. This is a hands-on, onsite role based in New York (US) or Tel Aviv (IL).

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The ideal candidate is both analytical and creative, fluent in using digital tools like HubSpot, Lemlist, Mailchimp, and others to build and execute multichannel campaigns. You will play a key role in generating qualified leads, optimizing funnels, and helping AEYE Health scale its commercial presence in the U.S. market.

Responsibilities:

Plan and execute B2B lead generation campaigns targeting U.S. healthcare providers, payers, and partners.

Build and manage email nurturing sequences using tools like HubSpot, Lemlist, and Mailchimp.

Own and optimize marketing automation workflows, campaign segmentation, and A/B testing.

Develop and manage landing pages, drip campaigns, and lead magnets to improve conversion rates.

Work closely with Sales, Product, and Clinical teams to align messaging, targeting, and positioning.

Track and report on campaign performance across key KPIs (open rates, CTRs, CPL, CAC, SQLs, etc.).

Conduct market and competitor research to refine messaging and audience targeting.

Support brand awareness efforts via newsletters, thought leadership, and event marketing.

We are looking for an experienced clinician to serve as the medical voice inside our AI organization. In this role, you will work shoulder-to-shoulder with AI researchers, product managers, clinical managers, and external partners to shape clinical AI products that are safe, useful, and genuinely valuable to patients and care teams.

You will act as the bridge between medicine and AI research - bringing deep clinical judgment to the design, evaluation, and continuous improvement of AI systems that touch real patient care. This is a hands-on, cross-functional role for someone who is as comfortable dissecting a model's clinical failure modes as they are defining the next product opportunity.

What you'll be doing
Partner directly with AI researchers as the resident domain expert, contributing clinical insight throughout the development of innovative clinical AI products - from framing the problem to validating the solution.
Design and lead the clinical evaluation of AI products, defining what "good" looks like from a medical standpoint and rigorously assessing model outputs for safety, accuracy, and real-world clinical value.
Serve as the medical product owner, working alongside product managers, clinical managers, the CMO, and external partners to identify unmet needs, surface gaps, translate clinical requirements into product specifications, and derive new features from them.
Ground product and research decisions in clinical reality, ensuring that what we build fits how medicine is actually practiced and improves outcomes for patients and clinicians.
Communicate clearly across disciplines - translating clinical nuance for technical teams and technical trade-offs for clinical and business stakeholders.

We are looking for a highly skilled and motivated Senior Academic Editor to lead and support the preparation, writing, and submission of peer-reviewed scientific publications related to AEYE Healths clinical, technological, and regulatory activities.

This is a cross-functional role that requires excellent academic writing skills in English, strong collaboration across departments (Clinical, R&D, Product, Regulatory), and the ability to communicate complex scientific data in a clear and compelling way.

The ideal candidate has a background in life sciences, biomedical engineering, or clinical research, and a proven track record in academic publishing-preferably in the fields of medical devices, SaMD, AI in healthcare, or digital health.

Responsibilities:

Write, edit, and manage scientific manuscripts, abstracts, posters, and white papers for submission to peer-reviewed journals and scientific conferences.

Collaborate with internal teams (Clinical, R&D, Data Science, Regulatory) to gather and validate data for publication.

Conduct literature reviews and maintain up-to-date knowledge of relevant clinical and scientific developments.

Manage the end-to-end publication process, including journal selection, formatting, submission, and peer-review response.

Support clinical and regulatory documentation when relevant, such as clinical evaluations, study reports, or white papers.

Maintain a pipeline of upcoming publications and coordinate timelines with key stakeholders.

Ensure all scientific materials align with our Healths strategic positioning and messaging.