Experience Requirements:

• 5+ years of experience as DevOps Engineer

• At least 2 years in a leadership role

• Deep knowledge of AWS and cloud-native architecture

• Strong experience with infrastructure-as-code tools

• Expertise in CI/CD systems and container orchestration

Other Requirements:

• Strong scripting skills in Python and Bash

• Experience in a high-scale SaaS environment

Responsibilities:

• Lead and mentor the DevOps team

• Own architecture and maintenance of cloud infrastructure

• Drive evolution of CI/CD pipelines and monitoring systems

• Ensure high availability and security of production environments

• Collaborate with developers to optimize delivery processes

Experience Requirements:

• 2 years of experience in developing LLM-based applications

• 4+ years of experience in backend development

• Expertise in developing cloud based applications

• Strong analytical and problem-solving skills

Other Requirements:

• Familiarity with various AI models

• Experience with prompt engineering techniques

Responsibilities:

• Architect and engineer prompts for various AI models

• Design and develop robust REST APIs

• Collaborate with R&D and product teams to optimize AI model performance

• Explore and implement novel applications of AI

Experience Requirements:

• 4+ years of experience as a Software or Platform Engineer

• At least 2 years in a leadership role

• Deep understanding of modern cloud-native architecture

• Hands-on experience with backend development

• Expertise in operating high-scale SaaS systems

Other Requirements:

• Experience with monitoring and observability tools

Responsibilities:

• Define and evolve vision for application platform

• Lead, mentor, and grow a high-performing engineering team

• Own key infrastructure components

• Partner with DevOps, Product, and peer engineering teams

• Foster a culture of continuous improvement

Experience Requirements:

• 6 years of high-level backend development experience

• Strong foundational knowledge in distributed systems

• Hands-on experience with Python, Go, Docker, and Kubernetes

• Experience in end-to-end development of production-grade services

Other Requirements:

• Experience in building LLM-based applications

Responsibilities:

• Architect, develop, and test cloud-native microservices

• Engage with AI technologies and LLM frameworks

• Collaborate with cross-functional teams

• Mentor team members

• Design and build systems with security at the forefront

Experience Requirements:

• 5+ years of backend development experience

• Understanding of internet protocols and OS fundamentals

• Experience with cloud-native architecture

• Proficiency in Go or other backend languages

• Experience with cloud platforms and IaC tools

Other Requirements:

• Knowledge of databases and message brokers

Responsibilities:

• Design, develop, and test cloud-native microservices

• Own key areas of platform infrastructure

• Collaborate with engineering and product teams

• Drive best practices in code quality and system design

• Share knowledge through code reviews

Benefits:

• Competitive salaries

• Generous benefits package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science

• Engineering

• Related field

Experience Requirements:

• 8-10+ years of program/project management experience

Other Requirements:

• Technical background in hardware/software development

• Track record of leading complex global programs

Responsibilities:

• Define and manage program schedules

• Translate customer requirements into tasks

• Provide horizontal leadership

• Act as primary customer interface

• Drive program execution from design to production

Experience Requirements:

• Junior Manual QA Engineer

• Entry Level

Other Requirements:

• Passionate about quality assurance

• Keen eye for detail

• Comfortable with ambiguity

• Value communication, autonomy, curiosity, and initiative

Responsibilities:

• Testing web applications and web services

• Design relevant tests to ensure feature functionality and stability

• Perform ongoing regression tests for areas that are yet to be automated

• Perform the role of quality gatekeeper for each release

Education Requirements:

• M.Sc. in Computer Science, Data Science, or a related technical field

• B.Sc. with 3+ years of hands-on experience in AI/ML applications

• PhD in Computer Science (Nice to Have)

Experience Requirements:

• 3+ years of hands-on experience in AI/ML applications (if B.Sc.)

• Strong understanding of LLMs, embeddings, cross-encoders, vector search

• Experience running experiments and analyzing results with rigor

• Experience in a fast-paced startup (Nice to Have)

• Paper publications in conferences (Nice to Have)

Other Requirements:

• Familiarity with open-source libraries, models and research environments

• Ability to translate ideas into prototypes and iterate quickly

Responsibilities:

• Be the expert in the latest research and tooling around LLMs and RAG

• Develop benchmarks and evaluation frameworks

• Productionize research and build end-to-end reliable systems

• Contribute to internal research documentation

• Stay up to date on academic and open-source developments

Education Requirements:

• Degree in Computer Science, Statistics, Engineering, or a related quantitative field

Experience Requirements:

• 3+ years of professional experience as a Data Engineer

• Proficiency in Python

• Experience with relational databases (SQL) and NoSQL databases

• Experience with AWS and their data services

• Experience with big data technologies (Preferred)

Other Requirements:

• Experience with Mongo/Snowflake/Redis/S3

• Experience with Airflow

• Familiarity with containerization and orchestration tools

• Knowledge of data governance and data security

Responsibilities:

• Design, build, and maintain efficient and reliable ETL/ELT pipelines

• Develop and improve data infrastructure

• Ensure data quality, integrity, and security across all platforms

• Optimize data systems for performance and scalability

• Troubleshoot and resolve issues related to data pipelines

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Full medical and dental coverage

• Deep-work culture

• Monthly Cibus

Experience Requirements:

• 3+ years of experience in QA Engineering

• Strong emphasis on backend/API testing

• Hands-on experience with test automation frameworks

• Experience testing distributed systems, microservices, or data pipelines

• Familiarity with AI/ML systems

Other Requirements:

• Strong understanding of REST APIs

• Experience with CI/CD pipelines

• Familiarity with cloud environments (AWS preferred)

• Excellent communication in English

Responsibilities:

• Design and execute test strategies for search API and content extraction

• Build and maintain automated testing frameworks

• Develop testing approaches for non-deterministic AI outputs

• Create performance and load testing suites

• Collaborate with developers to implement CI/CD quality gates

Experience Requirements:

• 2+ years of professional software engineering experience

• Strong backend development skills (Python, Go, C++)

• Designing and operating high-throughput, low-latency infrastructure

• Hands-on expertise with AWS infrastructure

• Experience with performance optimization

Other Requirements:

• Comfortable in a fast-paced startup environment

• Curiosity about LLMs and the future of AI

• Familiarity with Kubernetes orchestration

Responsibilities:

• Build systems for real-time LLM workflows

• Design and implement backend infrastructure

• Iterate on features with the product team

• Improve performance, monitoring, and reliability

• Shape a strong engineering culture

Benefits:

• Young, open, and inclusive culture

• Opportunity to build at the forefront of AI

• Daily team lunches

• Deep-work culture

Education Requirements:

• LL.B. or equivalent law degree from a top-tier university

• Bar admission in the U.S., EU or Israel

Experience Requirements:

• 3 to 6 years experience post internship

• Experience at both leading law firm and as in-house counsel

• Drafting and negotiating technology commercial agreements

• Experience with global privacy regulations (GDPR, CPRA)

• Experience with U.S. copyright and intellectual property laws

Other Requirements:

• Exceptional attention to details

• Familiarity with global AI regulations (Advantage)

• Experience in corporate or employment law (Advantage)

Responsibilities:

• Draft and negotiate commercial agreements

• Support and enhance privacy and data protection program

• Review and negotiate DPAs

• Partner with Product and R&D on legal needs

• Draft employment-related documents

Experience Requirements:

• 3+ years of professional experience in full-stack development

• 2+ years of working in Node.js

• 2+ years of working with modern JavaScript frameworks such as React/Redux

Responsibilities:

• Work with the latest technologies such as NodeJS, TypeScript, NestJs, Kafka, React, MongoDB, and more.

• Plan, design & develop new features consumed by millions of users every day.

• Participate in system design and code reviews.

• Tackle tough problems and find creative ways to solve them.

• Be in charge of different microservices, maintain and improve them Write beautiful code that is readable, testable, and extensible

Benefits:

• Hybrid work culture

• Top talent and growth

• Unlimited vacation days

• Equity and stock

• Innovation galore

Education Requirements:

• Bachelor’s or a master's degree in computer science, data science, or equivalent field

Experience Requirements:

• At least 3 years of experience as an AI Architect/Principal Engineer

• At least 2 years of experience with building ML or LLM-based applications in production

• At least 5 years of Python or equivalent programming experience

Other Requirements:

• Knowledge in MLOps - bonus

• Team player with a positive and fun attitude

• Strong interpersonal, leadership, and communication skills

• Capacity to work in a fast-changing environment

• Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirements

Responsibilities:

• Design, develop, and drive design processes and products that incorporate Generative AI (LLMs) and knowledge Retrieval in order to help patients across the US

• Design and define data pipelines and evaluation pipelines

• Coach teams on best practices for datasets and building data sets

• Build applicative AI in production on a large scale

• Build solutions for different mediums including voice products with minimal latency and high accuracy

Benefits:

• Hybrid work culture

• Top talent and growth

• Unlimited vacation days

• Equity and stock

• Innovation galore

Education Requirements:

• Bachelor's degree in relevant fields

Experience Requirements:

• 1-2 years of proven work experience

• Native or near-native level of English

• SaaS and/or B2B enterprise experience

Other Requirements:

• Strong and creative writing skills

• CRM/Salesforce experience – an advantage

• Knowledge about Conversational AI – an advantage

• Will to win, thick-skinned and tenacious

• Unbreakable integrity, high energy, and pure dedication

Responsibilities:

• Prospect into strategic business accounts via cold call, email and social strategies

• Showcase strong writing skills and become a brand ambassador through the creation of content, email marketing and more

• A/B test our messaging and personalized cadences via Salesloft, HubSpot and other platforms

• Leverage buyer intent data to prioritize outreach across key verticals

• Drive sales growth and pipeline through generating SQLs for Account Executives

Benefits:

• Hybrid work culture

• Top talent and growth

• Unlimited vacation days

• Equity and stock

• Innovation galore

Education Requirements:

• BA/B.Sc. in Computer Science/ Statistics/ Economics/ Business or related fields

Experience Requirements:

• 3-5 years of experience in a similar role - Experience with web/mobile data analysis is preferred

Other Requirements:

• Experience with SQL, Python, R, or similar and with data visualization tools such as Looker - advantage, Tableau, Power BI

• Ability to understand business objectives and translate them into data-driven product strategies

• Strong problem-solving skills and the capacity to make data-backed recommendations

• Excellent interpersonal skills and the ability to work effectively with cross-functional teams

Responsibilities:

• Collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities

• Collaborate closely with cross-functional teams, including product managers, engineers, and customer success, to identify areas for improvement in our products

• Design, execute, and analyze A/B tests and experiments to measure the impact of product changes

• Develop and maintain dashboards and reports to track key product metrics, performance indicators, and other relevant data

Benefits:

• Hybrid work culture

• Top talent and growth

• Unlimited vacation days

• Equity and stock

• Innovation galore

Education Requirements:

• Bachelor’s Degree or equivalent practical experience in a relevant field

Experience Requirements:

• 2+ years of Python or Javascript programming experience

Other Requirements:

• Team player with a positive and fun attitude

• Capacity to work in a time-sensitive and high-volume environment

• Strong interpersonal and communication skills

• Familiarity with test-driven development, clean architecture, and design patterns

Responsibilities:

• Develop and enhance the company’s core voice product by designing, implementing, and testing new features and services

• Take ownership of end-to-end projects, from ideation to deployment of new capabilities

• Ensure high availability and reliability of our conversational AI assistants

• Write mostly Python for our backend infrastructure

Benefits:

• Hybrid work culture

• Top talent and growth

• Unlimited vacation days

• Equity and stock

• Innovation galore

Education Requirements:

• Bachelor’s degree in Finance, Accounting, Economics, or a related field, with CPA certification or equivalent, and a background in auditing at one of the Big Four accounting firms

Experience Requirements:

• 7+ years of financial management experience, including at least 3 years in a leadership role, with proven experience in SaaS or enterprise companies

• Expertise in financial planning, budgeting, forecasting, and accounting principles (US GAAP/IFRS), with regulatory compliance experience in both the US and Israel

• Proficiency in financial systems and tools, strong analytical skills, a data-driven mindset, and the ability to thrive in a fast-paced, rapidly changing environment like startups

Other Requirements:

• Demonstrated ability to lead and mentor finance teams, fostering a high-performance culture while optimizing processes and driving performance

• Strong collaboration skills, with excellent English communication (written and verbal) and the ability to work effectively with senior executives and cross-functional teams

• Strategic thinker with a proactive approach to problem-solving, attention to detail, and a commitment to accuracy and integrity

• Experience with QuickBooks, NetSuite, and Salesforce is an advantage

Responsibilities:

• Hire, lead and manage Hyro’s finance team, ensuring high performance and alignment with company objectives

• Develop and implement financial strategies, policies, and procedures to support scalability and growth

• Oversee financial planning, budgeting, and forecasting processes, ensuring accuracy and timeliness

• Manage financial reporting, including monthly, quarterly, and annual reports, to provide insights and recommendations to the executive team and board

• Ensure compliance with financial regulations, accounting standards (US GAAP/IFRS), and tax requirements in both the US and Israel

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

• MSc degree in Computer Science or a related technical field or equivalent practical experience

Experience Requirements:

• 3+ years of proven experience in delivering production level ML solutions

• Experience with time series modeling, supervised and unsupervised learning

• Experience with Causal Inference

Other Requirements:

• Strong business understanding and high execution mentality

• Deep understanding of ML theory and the math behind the models

• Building interpretable and explainable solutions

• Proficiency in Python, relational and NoSQL databases, Git

• Knowledge of data management and visualization techniques

• Technologically diverse background and ability/willingness to learn new things quickly

• Strong engineering and communication skills

• Advantage: experience with Multi-Arm Bandits

• Advantage: experience with LLMs

Responsibilities:

• Own the Data Science deliverables across our various products

• Conduct exploratory research on structured and unstructured data

• Be involved in team architectural discussions

• Research, build and deploy ML models in different domains

• Create technical specifications and project documentation

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

• BA/BS degree in Computer Science or a related technical field or equivalent practical experience

Experience Requirements:

• 3+ years of backend development experience

• 2+ years of node.js experience

• Experience with the Express framework

• Experience in AWS, Docker, k8s

Other Requirements:

• Experience with Relational and NoSQL databases, data workflow management

• Experience with designing and building RESTful APIs

• Experience designing, scaling, debugging, and optimizing systems

• Familiarity with distributed system concepts

• Write infrastructure as code using CloudFormation or Terraform

• Strong notions of security best practices

• Previous exposure to large-scale systems design

• Ability to troubleshoot distributed systems

• Fluent in English

Responsibilities:

• Develop and maintain our backend infrastructure

• Develop & maintain microservices using Node.js and Express

• Take part in architectural decisions and discussions

• Solve complex problems, create object models, define APIs, build web services