לוח משרות דרושים עבודה היברידית

Requirements:
What Were Looking For:
6-10+ years of experience in Data Engineering, with demonstrated architectural ownership.
Expert-level experience with Snowflake (mandatory), including performance optimization, data modeling, security, and ecosystem components.
Expert proficiency in SQL and strong Python skills for pipeline development and automation.
Experience with modern orchestration tools (Airflow, Dagster, Prefect, or equivalent).
Strong understanding of ELT/ETL patterns, distributed processing, and data lifecycle management.
Familiarity with streaming/event technologies (Kafka, Kinesis, Pub/Sub, etc.).
Experience implementing data quality, observability, and lineage solutions.
Solid understanding of cloud infrastructure (AWS, GCP, or Azure).
Strong background in DataOps practices: CI/CD, testing, version control, automation.
Proven leadership in driving architectural direction and mentoring engineering teams.

Nice to Have:
Experience with data governance or metadata management tools.
Hands-on experience with DBT, including modeling, testing, documentation, and advanced features.
Exposure to machine learning pipelines, feature stores, or MLOps.
Experience with Terraform, CloudFormation, or other IaC tools.
Background designing systems for high scale, security, or regulated environments.

Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX).

Requirements:
Education and Experience:
University or Bachelors degree / directly related previous work experience.
Demonstrated achievement of progressively higher quota, diversity of business customer, and higher level customer interface.
Extensive selling experience within industry and on similar products.
Typically 8-12 years of advanced sales experience.
Project management skills required.
2-3 years of product sales in the desired specialty.

Knowledge and Skills:
Is considered an expert in knowledge of products, solution or service offerings as well as competitors offerings to be able to sell large solutions.
Understands the industry and market segment in which key accounts are situated, and integrates this knowledge into consultative selling.
Understands and applies program/project management methods and processes to define, plan, cost, resource, track and ensure successful pursuit.
Understands the role of IT within area of specialization and how the company's solutions differentially address specific vertical industry challenges as well as their cross-segment capabilities.
Account planning and accurate account revenue forecasting skills.
Collaborates with management and sales teams in shared accounts to ensure seamless integration of specialist sales with other sales activities.
Cultivates & maintains positive relationships with customers to ensure account retention & growth, and positions the company as the preferred vendor for meeting all business needs.
Establishes a professional working relationship, up to the executive level, with the client.
Demonstrates leadership and initiative in successfully driving specialty sales in accounts - prospecting, negotiating and closing deals.
Demonstrates high service or product knowledge and professionalism in researching and sharing service-related information with account teams and customers.
Deep knowledge of products, solution or service offerings as well as competitors offerings.
Understands how to leverage the companys portfolio and change the playing field on our competitors.
Utilizes Siebel as an expert and accurately forecasts business.
Understands and sells high value software solutions.
Understands selling of services sales.
Leverages services as part of strategic product sales.
Maintain expertise of industry trends, associated solutions, and key partner/ISV solutions.
Maintains expertise on IT at all levels - new applications, maintenance, typical budgets of the CIOs, typical objectives, measures, metrics.

Requirements:
3-5 years in a technical role (engineering, solutions engineering, product, or similar) with demonstrated ability to ship software independently.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Google, or equivalent).
Strong product instincts - knows whats worth building and can make scope decisions without over-engineering.
Python proficiency: scripting, API integration, automation pipelines.
Experience with workflow automation tools (Zapier, Make, n8n, or similar).
Clear communicator across technical and non-technical audiences; self-directed and comfortable with ambiguity.
Optional / Nice-to-Have":
Experience in digital health, healthcare IT, or a regulated industry.
Familiarity with Claude for Work, Cowork, NotebookLM, or Base44.
Background in solutions engineering, technical consulting, or B2B SaaS product management.
Startup or scale-up experience.

Requirements:
Proven experience designing and building complex AI systems that have been successfully delivered to production, with an end-to-end understanding of research, architecture, validation, and production handoff.
Strong hands-on experience with modern AI approaches, including Machine Learning, Deep Learning, and LLM-based systems; experience with agentic AI systems or orchestration patterns is a strong advantage.
Demonstrated ability to move quickly from idea to working prototype, with a strong passion for hands-on experimentation and applied innovation.
Experience working in environments involving sensitive data and regulatory constraints, with an understanding of how these considerations shape AI system design.
Excellent system-level technical judgment, including the ability to identify risks, tradeoffs, and unintended consequences in AI systems.
Proven ability to act as a technical leader without formal authority, influencing and guiding senior peers through collaboration and expertise.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse stakeholders.
Ability to contribute to clear technical and AI-related compliance documentation.
High proficiency in Python and modern AI/ML tooling.
Optional / Nice-to-Have :
Deep experience in NLP, NLU, or clinical text processing.
Experience deploying LLMs or agent-based systems in production.
Familiarity with cloud-native ML stacks (AWS, Docker, Kubernetes).

Requirements:
4+ years of proven experience leading product teams, with a strong track record of growing people and helping them succeed.
Startup mindset: comfortable with ambiguity, fast growth, and evolving processes, while maintaining focus on scalable solutions.
Proven experience leading B2B products and collaborating with partners and strategic customers to deliver impactful solutions.
Strong technical orientation and curiosity, with the ability to quickly understand complex data systems.
Excellent communication and stakeholder management skills, able to explain complex technical concepts in clear, actionable terms.
Experience leading large-scale data platforms, including data ingestion, transformation, and access layers.
Ability to define and track success metrics, analyze performance, and iterate to optimize platform impact.
Advantages:
Familiarity with healthcare data ecosystems (EMRs, HIEs, clinical data).

Requirements:
8+ Years of Engineering Excellence: Deep experience building and scaling large-scale, data-intensive web applications.
Proven Technical Leadership: Experience as a Tech Lead or Architect, with a track record of driving complex projects to completion and steering technical roadmaps across multiple workstreams.
Full-Stack Versatility: You are a true generalist, equally comfortable debugging a frontend rendering issue, optimizing a backend service, or tuning a complex data transformation.
Full-Stack expertise: Expert-level knowledge of React, Node.js, and Python.
Data Infrastructure Expert: Proven track record of building and managing modern data warehouses and high-throughput pipelines. You understand data modeling, concurrency, and how to optimize data flow from ingestion to visualization.
Systems Thinker: You don't just fix bugs; you find the systemic cause and build a solution that prevents them for everyone.

Requirements:
Experience: 3+ years of experience in a customer-facing Implementation Engineer, Technical Onboarding Manager, or Solution Engineer role (SaaS experience preferred).
EMR/EHR Expertise (Required): Proven experience working with Electronic Medical Record systems (e.g., Epic, Athenahealth, eCW, Cerner, Veradigm). You must understand EMR data structures, workflows, and integration points.
Healthcare Data Knowledge: Solid understanding of US healthcare data standards (e.g., HL7, FHIR, C-CDA) and clinical terminology.
Technical Proficiency
Proven experience with SQL and data analysis (Must-have).
Experience debugging web applications and troubleshooting integration issues.
Communication: Exceptional verbal and written communication skills. You can articulate complex technical concepts clearly to both engineers and non-technical stakeholders.
Project Management: Strong organizational skills with the ability to manage and prioritize multiple onboarding projects simultaneously in a fast-paced environment.
Problem Solving: A relentless troubleshooter with a "can-do" attitude and deep attention to detail.
Availability: Willingness to work hours that overlap with US Eastern and Central Time zones, from Monday to Friday, to support US-based customers.
How You Would Stand Out:
Specific Epic Certifications: While general EMR experience is required, specific certifications (e.g., Epic Bridges, Ambulatory) are a strong advantage.
Scripting Skills: Proven experience in programming (Python, JavaScript, or Node.js) for data manipulation or automation.
Growth Mindset: Experience working in a fast-growing startup organization.

Requirements:
5+ years of post-bar experience, from a commercial department at a leading law firm and/or in-house legal department in a technology company.
Strong experience working on commercial matters in the US market.
Proven experience in privacy regulation (U.S.-focused), with the ability to translate legal requirements into practical guidance.
Highly curious, with strong analytical and deep-diving capabilities.
Hands-on, proactive approach with a strong sense of ownership and execution.
Ability and desire to build processes, lead domains, and drive initiatives independently.
Excellent written and verbal communication skills in English.
Ability to work effectively in a fast-paced, dynamic, and cross-functional environment.
Advantages:
Experience working with the U.S. healthcare market.
Background in compliance and additional regulatory domains.
Experience in product counseling and advising product teams.
Experience in corporate/legal aspects of company operations.
Familiarity with AI-related regulation.

Requirements:
4+ years of product management experience in complex B2B SaaS environments with workflow-driven products.
Strong experience building user-facing products with measurable adoption and engagement goals.
Strong critical thinking and analytical skills, with the ability to navigate ambiguity, evaluate trade-offs, and make sound product decisions.
Deep understanding of UX trade-offs and workflow-centric design.
Experience working on AI-powered, LLM-based, or generative products, with the ability to translate emerging capabilities into real user value.
Experience partnering closely with engineering teams on complex, integrated systems.
Ability to balance speed, experimentation, usability, and enterprise-grade reliability.
Excellent written and verbal communication skills in English & Hebrew.
Highly independent and structured, with a hands-on approach and strong sense of ownership; able to learn quickly, ramp up in complex domains, and operate effectively in a fast-paced environment while managing multiple priorities with clarity and focus.
A collaborative team player who works effectively with other PMs and cross-functional partners to drive aligned outcomes.

Requirements:
5+ years as a PMM working on complex products in B2B SaaS
Native-level written and spoken English
Proven ability to manage complex organizational interfaces
Strong presentation and writing skills
Experience with the US healthcare market - advantage

Requirements:
Team player at heart.
Hands-on Backend Experience in developing a large-scale, high throughput system.
Experience designing and scaling distributed data processing systems.
7+ years of experience as a Software Engineer.
5+ years of experience with High level server-side frameworks, Preferably Python.
Experience with AWS or other cloud services

Requirements:
6+ years of experience in software development, with at least 4-5 years as a data engineer.
Proven track record designing and implementing scalable ETL/ELT data pipelines.
Strong SQL skills.
Experience with relational and analytical data platforms (e.g., PostgreSQL, Snowflake, data lakes).
Strong coding skills (preferably in Python), with prior software engineering experience (e.g., API development) a plus.
Experience with cloud environments, AWS preferable
Previous managerial or leadership experience is a strong advantage

Requirements:
Team player at heart.
Hands-on full-stack Experience in developing a large-scale system
5+ years of experience as a Software Engineer
3+ years of experience with client-side frameworks (preferably React)
3+ years of experience with server-side frameworks - Python/ Node.js
Experience with AWS or other cloud services
Advantages:
Experience developing with React Native
B.Sc / M.Sc in Computer Science / Software Engineering
Familiarity with Git, CI/CD framework and testing
Experience with python frameworks
Experience with serverless architecture
Knowledge of UI/UX principles and experience with design systems
Experience with RDS / Snowflake

Requirements:
Medical Doctor (MD)
Strong project management skills and experience
Passion for using tech to improve healthcare
Excellent interpersonal and teamwork skills
Very high attention to detail
Strong curiosity and inquisitiveness
Willingness to travel to the USA as needed
Advantage:
Background/experience with US healthcare value based care - strong advantage
Background in quantitative data analysis
2+ years experience in comparative role in health-tech company
Experience with biomedical informatics
Experience as a product manager
High level of Proficiency in SQL, python or R
2+ years of post-internship clinical experience