דרושים » אבטחת מידע וסייבר » Head of Product Design

Requirements:
8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend).
Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines.
Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD).
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG).
Product-oriented mindset: you care deeply about building things that work well for users.
Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.

Requirements:
What Will Make You Stand Out?
* M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
* 5+ years of hands-on experience developing and deploying machine learning models into production
* Strong background in ML, Deep Learning, NLP, preferably with a focus on audio/video transcription and analysis
* Experience in leveraging large-scale compute resources, including distributed GPUs, to train, test, and evaluate models
* Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (OpenCV, TensorFlow, PyTorch, etc.)
* Excellent verbal and written communication skills
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.

Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
Preferred qualifications:
Master's degree in Computer Science or a related technical field.

Requirements:
5+ years of experience as a Data Scientist, working on machine learning-related projects or equivalent experience
Hands-on experience in modern AI techniques, including LLMs, embeddings, knowledge graphs, retrieval-augmented generation (RAG), multi-agent systems and prompt-engineering
Strong proficiency in Python and relevant ML/AI frameworks (e.g., Hugging Face Transformers, PyTorch, scikit-learn), as well as graph and vector database technologies
Experience working with large datasets and data processing libraries (e.g., Pandas, NumPy, Spark)
Pragmatic approach, open-minded, good communicator who can simplify complex ideas and designs
BSc in Computer Science or related field. MSc - advantage
Background in cybersecurity - advantage

Requirements:
10+ years of relevant product, engineering, or technical marketing experience, with emphasis on some combination of storage, data, and analytics
Experience in customer-facing roles, explaining and training folks on strategic and technical concepts and products
Robust problem-solving skills, analytical thinking, and a customer-centric approach
Excellent communication skills, with the ability to convey complex technical concepts to a wide range of audiences
Extensive experience in promoting and demonstrating technology products
Some travel required - roughly 10-25%.

Requirements:
Bachelors degree in Computer Science, Engineering, Information Systems, or related field (or equivalent practical experience).
5+ years of relevant experience in technical program management, systems integration, DevOps, or automation roles within SaaS or cybersecurity environments.
Proficient with scripting and integration tools such as PowerShell, Python, Node.js, or similar.
Experience designing and deploying automations via REST APIs, webhooks, or workflow platforms (e.g., Logic Apps, Zapier, Workato).
Strong understanding of SaaS operations, customer lifecycle, and support systems.
Proven ability to lead cross-functional projects with excellent communication and stakeholder management skills.
Ability to think strategically while executing tactically in a fast-paced environment.
Familiarity with IT security concepts and protocols is a plus.

Requirements:
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
1 year of experience with data structures or algorithms.
Preferred qualifications:
Experience with software development in Java.
Experience in Object-Oriented Analysis and Design.
Experience with product ownership.

Requirements:
Required qualifications:
-Proven experience leading the architecture and implementation of enterprise-scale integration solutions composed from a diverse range of technologies, integration patterns, approaches and deployment models, such as:
-MuleSoft or similar integration/APIM products (e.g. Tibco, Boomi, SAP, IBM)
Event Driven Architecture, Microservices, batch-based processing patterns
Traditional, containerized or cloud based infrastructure.
-Experience in API life-cycle management, from API design and development through to deployment and operations and governance.
-Track record on leading migration initiatives from legacy systems (e.g. monolith applications), integration patterns (e.g. SOA), infrastructure towards more scalable and resilient architectures.
-Hands-on experience of applying DevOps & Agile principles and Software Engineering best practices.
-Success in leading and/or enabling distributed & diverse teams to deliver great results when faced with organizational complexity and ambiguous demands.
-A track record of adding to the team you are in through mentoring colleagues and forming internal initiatives to enhance and evolve the teams technical and consulting capabilities.
-Willingness to travel regularly to meet customer needs as required.
-An active interest in understanding how AI will benefit customer solutions and increase productivity across the Software Delivery Lifecycle.
-Hebrew (native speaker) and English (fluent written & spoken).
-Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Preferred Requirements
-Achievement of MuleSoft Certified Integration Architect and MuleSoft Certified Platform Architect certification.
-Having acted as a trusted advisor to senior customer stakeholders (C-level and/or Head of) with the proven ability to build influence and impact change across the wider organization.
-A track record of experimenting with new technologies and/or contributing to the open source community.
-Experience of learning and applying a variety of technologies outside of the integration domain (e.g. for App or Web Dev) and of carrying roles across the wider SDLC (e.g. QA, Operations, SysAdmin).
-A passion for continuous improvement where innovation has introduced tangible change to customers and colleagues.
-A polished public speaker with experience of presenting at industry conferences, meet-ups and/or company events.
-Industry specific domain knowledge which has been applied to tangibly increasing the value of a solution implemented for a customer.
-Holding external/third party qualifications and certifications relevant to this role (e.g. Salesforce, AWS, Azure, GCP).
-Strong capabilities (written & spoken) in additional languages prevalent across the EU.

Requirements:
Minimum qualifications:
Bachelors degree in Electrical Engineering, Computer Science, or equivalent practical experience.
5 years of experience in scripting languages (e.g., Unix Shell, Python) to build tools and flows.
Experience with software version control systems (e.g., Git, Mercurial), and concepts of branches, commits, and merges.
Experience working with cross-functional teams for quality tape-outs.
Preferred qualifications:
Experience working with Register-Transfer Level (RTL) teams and design integration methodologies that improve team productivity and velocity.
Experience with design verification techniques, including constrained-random simulation, formal property verification, or static verification.
Experience evaluating multiple vendor solutions and driving tool decisions/design improvements.
Experience with ASIC design, debug, and verification flows.

Requirements:
- A visionary architect with a passion for creating cutting-edge software solutions at scale
- An experienced technologist with a deep understanding of AI-driven systems and cloud architecture
- A strategic thinker who can balance innovation with practicality in system design
- 3+ years of experience in a similar role, with a proven track record of architecting complex software systems
- Strong knowledge of microservices-based architecture and cloud-native application design
- Extensive experience in UNIX/Linux system administration and deep understanding of system-level concepts
- 2+ years of experience with CI/CD processes and tools (e.g., Jenkins), focusing on automating software delivery pipelines
- 1+ years of experience with container technologies (Docker, Kubernetes) for building and deploying scalable microservices
- 1+ years of experience in NoSQL database administration, particularly MongoDB, and proficiency in database management
- Familiarity with system monitoring tools like Datadog for ensuring infrastructure health and performance
- Demonstrated experience working with AI products, including design, implementation, and deployment of AI technologies
- Strong knowledge of cloud security practices and data security protocols
- Proficiency in at least one programming language commonly used in system architecture (e.g., Python, Go, Java)
- Experience with GCP services and best practices for cloud architecture
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
- Ability to mentor team members and contribute to the overall technical strategy of the company
If you're excited about architecting the systems that will power the next generation of AI and want to be at the forefront of conversational agent technology, we want to hear from you!