NH

Nym Health

www.nym.health

3 open jobs

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Product Manager - Clinical Coding, Revenue Cycle, AI
Nym Health · Tel Aviv-Yafo

Description Nym is a healthcare technology company transforming clinical coding through AI. Our autonomous coding engine interprets clinical documentation and applies clinical and coding knowledge to accurately code patient encounters at scale. We are looking for an experienced Product Manager to join our Product team in Israel and work closely with our R&D and AI Research teams. This role sits at the intersection of product, clinical coding, AI, and engineering. You will translate complex clinical coding and customer problems into clear product and technical requirements, work with R&D and Applied Research to design scalable solutions, and own initiatives from problem definition through development, validation, and production rollout. The ideal candidate is highly analytical, technically strong, comfortable working with complex AI-driven systems, and able to turn ambiguous problems into structured product decisions. In this role, you will: • Own product initiatives related to Nym's autonomous clinical coding engine, from problem definition through production rollout and measurement. • Develop a deep understanding of clinical coding workflows, including ICD-10-CM, CPT/HCPCS, coding guidelines, clinical documentation, and healthcare billing requirements. • Translate clinical coding, customer, and business problems into clear product requirements and technical specifications. • Analyze engine behavior, coding results, customer data, and production performance to identify product gaps and improvement opportunities. • Define success metrics and acceptance criteria, and validate that delivered solutions achieve the expected product and coding outcomes. • Break complex problems into initiatives, epics, requirements, and user stories that enable effective R&D execution. • Own and prioritize the backlog within your product area, balancing accuracy, automation coverage, scalability, technical investment, customer impact and market impact. • Partner with coding and compliance experts to translate coding guidelines and regulatory requirements into scalable AI-driven solutions. • Ensure new capabilities are measurable and observable in production, with appropriate monitoring and performance metrics. • Communicate product decisions, tradeoffs, progress, and results clearly to both technical and non-technical stakeholders. Requirements • 4+ years of Product Management experience working on complex software or data products. • BSc in Computer Science, Engineering, Information Systems, or equivalent technical experience. • Demonstrated ability to work closely and effectively with engineering teams on technically complex products. • Strong analytical and problem-solving skills, including the ability to investigate data, understand system behavior, and identify root causes. • Experience translating ambiguous business or domain problems into structured product and technical requirements. • Strong understanding of software development processes and Agile product development. • Experience defining product metrics, acceptance criteria, and data-driven measures of success. • Ability to understand complex systems and make thoughtful tradeoffs between product value, technical complexity, scalability, and time to market. • Excellent written and verbal communication skills in English. • Ability to operate effectively in a fast-moving environment with significant ambiguity and evolving requirements. Strong Advantages • Experience building AI/ML, NLP, LLM, or other data-driven products. • Experience working with healthcare technology, clinical data, or medical records. • Familiarity with medical coding, or revenue cycle workflows. • Experience with enterprise SaaS products and complex customer integrations. • Experience defining or evaluating AI quality, including concepts such as accuracy, precision/recall, confidence, evaluation datasets, and production monitoring. • Experience working with large datasets and using analytical tools to investigate product behavior.

Product Manager
NH
Senior DevOps Engineer
Nym Health · Tel Aviv-Yafo

Description Nym empowers healthcare providers with AI-based solutions that simplify healthcare administration. Our technology fully automates medical coding from clinical language, bringing greater efficiency and accuracy in revenue cycle management. Our engine currently processes over 6 million charts annually across more than 300 healthcare facilities in the US. We are backed by top-tier VCs and growing rapidly, with offices in New York City and Tel Aviv. Join us! Role and Responsibilities: Nym is looking for a Senior DevOps Engineer to join our growing team. This role combines expertise with deep DevOps knowledge to ensure the scalability, reliability, and efficiency of our systems. As a key member of our team, you will work closely with engineers, data scientists, and other stakeholders to design, build, and maintain robust infrastructure and services. Requirements • +10 years of experience working with Cloud Native technologies with AWS, in a Kubernetes-based environment. • Proficiency in Python is preferred. • Expertise in building and maintaining CI/CD pipelines (e.g., Jenkins, GitHub Actions). • Strong knowledge of containerization technologies (e.g., Docker, Kubernetes). • Strong Infrastructure-as-Code experience and mindset. • Solid understanding of networking, databases, and security principles. • Taking ownership of wide-scale initiatives to improve scalability, reliability, and engineering velocity.

DevOps Engineer
NH
Software Engineer, Data & Platform
Nym Health · Tel Aviv-Yafo

Description Nym is seeking a Software Engineer, Data & Platform to join our Platform team. This is a hands-on engineering role at the intersection of data and infrastructure. You'll build the pipelines that move clinical data into, through, and out of our autonomous coding engine, and the cloud systems that run it in production. What you'll do: • Build and maintain reliable data pipelines that ingest, transform, and deliver data from healthcare systems at scale, across millions of charts a year. • Design, build, and operate our cloud infrastructure on AWS, managed as code. • Own data modeling, schema management, and database performance in close partnership with our DBA. • Improve how our engineering teams ship: CI/CD, environments, observability, and internal tooling that make deployments safe and fast. • Take an AI-first approach to engineering: use AI coding assistants and agents as a core part of your daily workflow, and look for opportunities to apply LLMs and agentic tooling to automate data and platform work. • Ensure the security, reliability, and compliance of systems that handle sensitive patient data. • Work with R&D, ML, and Product to turn requirements into scalable data and platform solutions. If you enjoy writing real software to solve data and infrastructure problems, and you care about systems that are robust, observable, and well designed, we'd love to hear from you. Requirements • 5+ years of professional software engineering experience, with significant time spent on backend, data, or platform work. • Strong proficiency in Python. • Proven data engineering experience: building and operating batch or streaming pipelines, ETL/ELT, and workflow orchestration. • Strong SQL skills and experience with relational databases (e.g., PostgreSQL), including data modeling and query optimization. • Hands-on experience with AWS. • Experience building and maintaining CI/CD pipelines. • Hands-on experience using AI tools (e.g., Claude Code, Cursor, Copilot) to accelerate development, and good judgment about where AI helps and where it needs human review. • Clear communication and the ability to work effectively with cross-functional teams. • Experience with working in a global, fast growing, dynamic and often ambiguous environment, across multiple time zones • Fluent English, written and spoken Bonus: • Experience with healthcare data standards and integrations (FHIR, HL7, EHR systems). • Event-driven architectures and messaging systems. • Observability tooling (e.g., Prometheus, Grafana, OpenTelemetry).

Software Engineer

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