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We seeking a Finance & Accounting Manager to oversee our Israeli accounting operations and provide hands-on financial analysis, business partnering, and reporting support to our global finance team.

This is a manager role with substantial Individual Contributor (IC) responsibilities. You will directly manage and support our Israeli Staff Accountant while personally maintaining financial models, preparing internal reporting and external investor reporting, managing budgeting and forecasting, and performing analysis.

Success requires a willingness to understand the underlying transactions, work directly in spreadsheets and accounting systems, and follow deliverables through preparation, review, and completion. Strategic contributions will come from accurate analysis, a strong understanding of the business, and actionable recommendations.

The position is based in our Tel Aviv office.


What you will do

Own accounting review and support the Israeli accounting function
Directly manage the Israeli Staff Accountant, providing regular guidance, timely reviews, clear priorities, and practical help resolving issues.

Review accounts payable, payroll, journal entries, accruals, reconciliations, corporate allocations, equity, and other close activities for accuracy, completeness, and appropriate supporting documentation.

Investigate discrepancies, resolve open questions, and ensure corrections are completed.

Develop a detailed working knowledge of the Staff Accountants recurring responsibilities, systems, and workflows.

Document critical processes and become capable of personally covering essential activities during absences or transitions.

Coordinate with external accounting, payroll, audit, and tax providers, maintaining clear internal ownership of deliverables.

Improve close procedures and financial controls while preserving appropriate approval and review responsibilities.

Personally execute financial planning, analysis, and reporting
Work directly with our U.S. finance leadership to prepare analysis and complete recurring finance deliverables.

Maintain and update the financial model, including actual results, forecasts, assumptions, and supporting schedules.

Own all financial planning and forecasting for R&D, including headcount planning, operational expenses, long-range planning.

Analyze actual results against budget and forecast, identify business drivers, and communicate clear explanations.

Manage quarterly reviews of all our Product P&Ls that will help leadership evaluate spending, resource allocation, and business performance.

Own the end-to-end management and analysis of AWS cloud spend, including tracking actuals against budget, dissecting key cost drivers and usage trends to provide context, partnering with engineering leadership to align on priorities and tradeoffs, and recommending cost optimization opportunities based on findings.

We are growing and are looking for a Clinical AI Specialist to join our TLV office.

As part of the Clinical AI team, you will:

Help develop AI-based solutions by performing annotations on text data, medical images and signals.

Review annotation results, calculate performance metrics, and summarize the findings in clear, comprehensive reports.

Manage clinical tasks within the scrum framework: ensure tasks are clearly defined, documented, and distributed to part-time team members, while also working hands-on execution to advance project deliverables.

Communicate effectively with stakeholders, providing clear status updates and risk assessments.

Track progress and follow up on open assignments to meet deadlines.

Write and maintain detailed guidelines for annotation and clinical tasks.

Act as the clinical point of contact, bridging technical and medical perspectives.

Collaborate with engineers, data managers, and clinicians to drive product development and deliver impactful solutions.

Educate the greater team on medical and clinical topics.

We are seeking a highly motivated AI Researcher to join our core data Science team. In this role, you will be at the forefront of tackling complex, high-impact business challenges by leveraging cutting-edge GenAI technologies, advanced AI research, and classical Machine Learning and statistical modeling. You will not just be building models; you will be driving research from ideation to production. We are looking for a true self-learner, someone who thrives in an environment that demands both a strong sense of ownership over your deliverables and deep collaboration. You will work closely with fellow researchers, product managers, and software developers to translate abstract business problems into scalable data -driven solutions. If you are passionate about staying ahead of the AI curve, building agentic workflows, and proactively driving your research initiatives forward within a collaborative team structure, this is the perfect role for you.
What You Will Do: End-to-End Research & Ownership: Lead targeted research projects from initial hypothesis through to production-ready solutions. Take strong ownership of your work's performance and partner with engineering to ensure successful, scalable integration Applied AI Research & Integration: Lead research into LLMs, agentic systems, and modern AI methods, then design and build the workflows that bring them into our ecosystem. LLM Evaluation & Optimization: Contribute to and establish rigorous evaluation frameworks for LLMs to ensure accuracy, safety, and business alignment in practical applications. Cross-Functional Collaboration: Act as a bridge between data, engineering, and product. Work with Developers to ensure seamless integration of ML features into the core product. Continuous Innovation: Act as an internal advocate for emerging AI research and methodologies. Continuously read, experiment, and implement state-of-the-art techniques to advance our research agenda and accelerate research velocity.

Position Intro:
Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnixs AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, Real-Time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are looking for a Principal Algorithm Developer with experience in NLP and LLMs, who is a highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong can-do attitude, excellent problem-solving skills, leadership skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.

As part of the AI team you will:

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings.

Prepare, process, and analyze complex medical data to support algorithm development and validation.

Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.

Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.

Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.

Lead development and drive technical decisions that impact your technical domain and related systems across the organization.

Mentor and develop algorithm developers through technical guidance & design reviews.

Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.

Organize and actively participate in seminars, book clubs, and conferences.