דרושים » אינטרנט ודיגיטל » Implementation Specialist

Requirements:
A B.A from a leading university - a must!
English speaker - a must! Ability to speak and write clearly and eloquently!
Proficiency with JavaScript, HTML, CSS, jQuery, Developer Tools and DOM Manipulation.
Knowledge and understanding of UI/UX principles.
Ability to learn new technologies and product-lines quickly.
Multi-tasking and problem solving skills.
Customer service orientation.
Willingness to work in a hands-on and dynamic environment with a constantly evolving product.
Excellent communication skills.
Ability to work independently with little direct supervision and as part of a team.
Ability to determine the best course of action in cases of confusion or insufficient information.

Requirements:
4+ years of software full stack engineering
Extensive professional experience with Node.js and TypeScript
Professional experience with React and advanced JavaScript, TypeScript, CSS
Experience working with AI tools such as Cursor (Claude or GitHub Copilot). Familiarity with MCPs and AI agents is a must.
Good understanding and experience with databases - relational and non-relational
Good understanding and experience with event-driven processes using queues and topics
Experience with cloud and serverless technologies - advantage
A team player with strong communication skills, but also capable of working independently
Ability to learn new technologies and adapt to changing project requirements
Proficient in English

Requirements:
5+ years of project management experience, leading complex and technical projects in dynamic, fast-paced, global environments - a must
Excellent verbal and written communication skills in English and Hebrew.
Bachelors degree in Industrial engineering, Operations, Business, or a related field
Proficiency in project management tools (e.g., Jira)
Great communication and presentation skills
Proven experience managing cross-functional collaboration effectively
Strong ability to learn complex systems and processes quickly
Incredible interpersonal skills (!)
Proactive problem solver with a Can-Do approach
Strong organizational skills with excellent prioritization and focus abilities
Analytical mindset - able to extract and process data for decision-making.

Requirements:
Minimum 7 years of full-stack development experience, with at least 2 years in a leadership role.
Strong experience with Node, React, Python, SQL or any equivalent language.
Experience with cloud, DevOps, and modern tooling (e.g., GCP/AWS, Kubernetes, Docker, CI/CD).
Excellent problem-solving skills and ability to handle multiple projects in a fast-paced environment.
Strong communication skills, with the ability to interact effectively with both technical and non-technical stakeholders.
Passion for innovation, AI technology, and building scalable, impactful products.
BSc in Computer Science, or Engineering degree is a plus.
Ability to thrive in a fast-paced, dynamic environment with a proactive and goal-oriented mindset.

Requirements:
What should you bring to the table?
1+ years of experience in customer facing roles with technical background (tech support, pre-sales, professional services etc).
Basic to intermediate knowledge of HTML, CSS.
Understanding of UX/UI principles and user-centered design concepts.
Experience working on projects with external stakeholders or customers.
Strong attention to detail and commitment to delivering high-quality solutions.
Ability to manage assigned tasks independently while collaborating within a broader program team.
Full professional proficiency in English (written and spoken).

Bonus Points:
Hands-on experience building with us or similar digital adoption / UX enablement tools.
Familiarity with SAP platforms such as SuccessFactors, S/4HANA, Ariba, or SAP CX.
Exposure to QA processes, accessibility standards, and responsive design best practices.
Basic understanding of project management concepts (scope, milestones, dependencies).
Experience working in global, cross-functional, or enterprise environments.
Background in Industrial Engineering, Information Systems, Software Engineering, or equivalent practical experience.
Experience supporting customer-facing implementations or enterprise software deployments.

Requirements:
Strong understanding of user behaviour and how to improve user engagement through us.
Familiarity with HTML, CSS, and JavaScript to customise and integrate our elements into web applications.
Analytical mindset, capable of interpreting data to make data-driven decisions and optimise our implementations.
Attention to detail, ensuring our elements are visually appealing, user-friendly, and aligned with our brand guidelines.
Problem-solving skills, capable of troubleshooting and resolving issues related to our implementations.
Experience working in an agile development environment is a plus.
5+ years of experience in Professional Services, Implementation Consulting, or Customer Success.
3+ years of SaaS experience.
Bachelors degree in a relevant field preferred.

Requirements:
BSc in Computer Science, Engineering, or equivalent experience
5+ years of experience as a DevOps Engineer or similar software engineering role
Proven experience with Docker and Kubernetes (EKS preferred)
Hands-on experience with monitoring and observability tools, including Prometheus, Grafana, Datadog, or similar.
Expertise in Terraform for AWS infrastructure-as-code deployments
Strong collaboration and interpersonal communication skills
Excellent analytical thinking and problem-solving mindset
Proficiency with relational databases
Solid knowledge of Python and Bash scripting
Experience with test automation - an advantage

Requirements:
Technical Expertise:
Advanced proficiency in Python for backend development and AI systems
Deep understanding of large language models and generative AI techniques
Hands-on experience designing and implementing multi-agent architectures
Advanced prompt engineering and orchestration strategies
Strong background in microservices architecture, API development, and production system design
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Professional Experience
3-4+ years of experience in AI/ML development with significant GenAI project exposure
Proven experience in end-to-end software development in Python
Proven experience deploying and maintaining AI systems in production
Client-facing experience in technical consulting or solution delivery roles
Advantages:
Hands-on experience developing directly against LLM provider SDKs and APIs (e.g., OpenAI, Anthropic, Google), including tool/function calling, streaming, and advanced orchestration patterns
Docker and Kubernetes experience
OCR systems and document intelligence experience
Data pipeline development and maintenance experience
Education & Background:
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field (or equivalent demonstrated industry experience)
Soft Skills:
Strong problem-solving and analytical capabilities
Excellent technical communication skills
Ability to collaborate effectively across teams
Adaptability in fast-paced, evolving technical environments
Consulting mindset with strong client focus

Requirements:
Proven Team Lead experience of at least 3 years
At least 5 years of experience working with Python/ Golang
Must have a startup mentality and a hands-on builder type personality
Flexible thinker, problem solver and a great mentor to your team member
2 years of experience with Kubernetes and with common cloud platforms (AWS/Azure/GCP)
DevOps attitude - understand systems beyond coding (infra, security, networking)
Highly dedicated individual with a can-do approach
Personal Qualities:
Passion for solving deep technical challenges at the system level.
Strong sense of ownership and end-to-end accountability.
Ability to work collaboratively with highly technical teammates.
Curious, self-driven, and eager to explore emerging technologies.

Requirements:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance