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Required Staff Data Architect
We are looking for an experienced and visionary Staff Data Architect to play a critical role in defining and shaping the data architecture for our flagship investigative analytics platform. In this position, you will design and guide the implementation of robust, scalable, and secure data pipelines that power advanced data processing for AI-driven insights as part of digital investigations.
You will work closely with cross-functional teams to drive technology alignment and ensure architectural excellence across multiple domains. This is a high-impact role, ideal for someone with deep technical expertise and strong strategic thinking, who thrives in a dynamic, collaborative environment and is passionate about building world-class technology platforms.
As our Data Architect, you will own the vision for how we manage, move, and leverage data within our SaaS product suite. Your role is pivotal in designing and implementing a robust data architecture that supports both real-time operational needs and advanced analytics, all within a scalable and cost-effective cloud-native environment.
Responsibilities:
Own the Data Vision: Take ownership of the data architecture, including our data lake, data warehouse, and ETL/ELT pipelines, to support our product teams and business intelligence.
Cost Optimization & Scalability: Provide architectural leadership and guidance to ensure our data platforms are designed for cost efficiency and scalability, actively identifying and implementing opportunities to optimize cloud spend.
Product-Centric Collaboration: Collaborate with engineering, product, data science, and security teams to translate product requirements and business needs into a strategic data architecture that drives product innovation.
Design & Governance: Conduct deep architecture reviews, assess technical risks, and provide recommendations to ensure data quality, security, and governance are embedded into every product.
Standardization & Enablement: Define and standardize data modeling practices, governance frameworks, and data pipeline patterns to enable efficient and consistent data development across product teams.
Technology Evolution: Evaluate new data technologies, tools, and methodologies (e.g., streaming platforms, modern data warehouses) to continuously improve our data platforms.
Documentation & Mentorship: Document architectural decisions, data flow diagrams, and cost models. Act as a mentor and technical authority, fostering a culture of technical excellence and cost-awareness.

In one sentence
Design and implement a modern software development lifecycle and CI/CD operating model augmented with agentic AI. Partner with engineering teams to assess current practices, identify pain points, introduce spec-driven and context-engineered workflows, and deliver practical tooling and PoCs that can be adopted at scale.
What will your job look like?
Assess existing SDLC, CI/CD, and operational practices; identify gaps, bottlenecks, and improvement opportunities.
Evaluate current AI-for-engineering assets and developer enablement maturity (assistants, agents, templates, guardrails).
Select, pilot, and operationalize AI tools for developers, CI/CD automation, and post-delivery operations.
Build PoC/MVP agentic flows and tools; define adoption patterns and hand over mature solutions to delivery units.
Participate as a thought leader in architecture and SDLC forums; define standards, patterns, and governance where needed.
Mentor teams and uplift engineering capability in AI-driven development, delivery, and operational readiness.

In one sentence
We are seeking an experienced and strategic FinOps Team Lead to own and scale our Cloud Financial Operations practice across multiple business units and cloud environments. You will lead day‑to‑day cloud financial operations, driving cost optimization, financial accountability, and operational efficiency, while partnering closely with Engineering, Finance, Procurement, and product teams to ensure cloud investments deliver maximum business value.
What will your job look like?
Team Leadership & Development:
o Manage and mentor a team of FinOps professionals, fostering a culture of collaboration and continuous improvement.
o Define roles, responsibilities, and career development plans for team members.
Optimization & Task Management:
o Oversee and prioritize optimization initiatives across multiple cloud platforms (AWS, Azure, GCP).
o Ensure timely execution and tracking of cost-saving projects and operational improvements.
Planning & Governance:
o Build and maintain weekly, monthly, and annual work plans aligned with organizational goals.
o Establish governance frameworks for FinOps processes and ensure compliance with corporate policies.
Reporting & Transparency:
o Provide clear visibility into savings achieved, task status, and ROI of optimization efforts.
o Develop dashboards and reports for executive leadership and key stakeholders.
Cross-Functional Collaboration:
o Work closely with technical teams, finance, procurement, and executive leadership to align priorities and drive results.
o Act as the primary liaison between cloud service owners and financial stakeholders.
o Identify opportunities for cost reduction and efficiency improvements.
POC Leadership & Tool Evaluation:
o Lead Proof of Concept (POC) initiatives for new FinOps tools and technologies.
o Define KPIs for POCs and evaluate candidates for enterprise-wide adoption.
Process & ROI Communication:
o Clearly articulate the value and ROI of FinOps initiatives to stakeholders.
o Promote FinOps best practices across the organization.

In one sentence
The company Data and AI platform is looking for a Software/ML Engineer specialist to join us in Raanana, Israel. In this role, you will join Data Science & MLOps team that develops features on our product based on the Databricks platform, where Spark is at the heart of our implementation.
You will work end-to-end: from data preparation and feature engineering, through ML/LLM modeling, to production-grade deployment, CI/CD, and monitoring.
Youll need excellent technical skills along with strong communication and ownership.
We are a team with open discussions, where every voice counts, and we are open-minded about adopting new technologies when they make sense.
What will your job look like?
Develop production-grade ML/LLM services and pipelines on Databricks, using Spark.
Design, implement, and maintain reusable preprocessing and feature engineering components.
Industrialize the ML lifecycle (experiment tracking, model packaging, deployment, monitoring) and improve reliability, performance, and cost.
Build ML pipelines and model deployments using Jenkins and Databricks Asset Bundles.
Work closely with data scientists and engineers to translate research into scalable, maintainable production code.
Own features from design through production, including writing tests, documenting, and providing operational support.
Come to the office 3 times a week.

In one sentence
Are you passionate about a future driven by data and intelligent systems? Do you thrive on uncovering actionable insights that fuel cutting-edge Artificial Intelligence (AI) and Generative AI (GenAI)solutions? If so, we invite you to join our dynamic and forward-thinking team!
What will your job look like?
Collaborate with data scientists, AI/ML engineers, and product managers to define objectives and datarequirements.
Source, integrate, and evaluate data from various sources for AI/GenAI model development and evaluation.
Prepare data for modeling, including cleaning, feature engineering, and specialized needs.
Conduct in-depth data analysis to uncover patterns, trends, and insights.
Support model evaluation and develop reports and metrics for tracking.
Utilize GenAI tools to enhance analytical workflows and generate synthetic data.
Ensure data quality, integrity, and security, and contribute to ethical AI practices.
Monitor model performance and participate in continuous improvement.

In one sentence
Join our companys cutting-edge amAIz development group, shaping the future of AI-driven solutions for the telecom industry.
We are looking for a dynamic and visionary Development Manager to lead a newly formed, high-impact development team within our companys GenAI & Data organization. In this role, you will manage a talented and independent team of developers focused on building innovative AI products and solutions using Generative AI, Machine Learning, NLP, LLMs, Cloud-native architectures, and microservices.
You will work at the pace of a startup, turning groundbreaking ideas into reality. Collaborate closely with Product Managers and System Architects to develop our companys AI product and deliver end-to-end, scalable, and secure solutions that will revolutionize the telecom industry.
What will your job look like?
Lead and mentor a team of skilled developers, fostering a culture of innovation and technical excellence.
Drive the development of AI-based products and platforms, leveraging Python, React, and modern frameworks like LangGraph and MCP, A2A protocols.
Collaborate with global cross-functional teams, including Product Management and Architecture, to ensure alignment and successful execution.
Operate in a fast-paced, agile environment, balancing multiple priorities and delivering high-quality results.
Champion best practices in CI/CD, DevOps, containerization (Docker, Kubernetes), and cloud deployment (AWS, Azure, GCP).

Required Software Engineer
Position Overview
We are assembling a highly skilled, small-scale engineering team focused on transforming generative AI innovation into real, production-grade platforms. As a Platform Engineer with a strong backend orientation, you will architect and implement the core infrastructure that enables rapid deployment, experimentation, and scaling of advanced AI capabilities. Your work will bridge cutting-edge research with reliable, secure, high-performance systems powering the next generation of digital intelligence products.
Responsibilities:
Design and develop backend services and APIs for SaaS applications using Node.js and TypeScript
Architect and implement microservices and distributed systems optimized for scalability and maintainability
Build and maintain CI/CD pipelines for automated deployments and testing
Develop cloud-native solutions leveraging AWS services and Kubernetes (EKS)
Manage infrastructure as code using Terraform and Helm for Kubernetes deployments
Ensure system reliability, security, observability, and performance at scale
Collaborate with cross-functional teams to deliver features in an agile environment
Continuously improve platform architecture and development workflows.

In one sentence
we are a global leader in software and services for communications, media, and digital enterprises. As AI reshapes the future of software, we are harnessing its power to transform networks, IT systems, and business operations.
We are building a pioneering AI Evangelist team, and we are seeking a leader who will shape the vision, strategy, and execution of this group. This role combines technical depth, strategic thinking, and people leadership to accelerate AI adoption inside our company and establish us as a thought leader in the global AI ecosystem.
What will your job look like?
1. Strategic Leadership & Team Building
Define and execute the strategy for AI Evangelism and Enablement across our company.
Build, manage, and scale a high-performing team of AI Evangelists.
Attract, hire, and develop top talent; foster a culture of innovation, collaboration, and continuous learning.
Set clear goals, measure impact, and align team efforts with our companys broader AI transformation agenda.
2. Internal AI Enablement
Partner with engineering, product, and business leaders to embed AI/GenAI tools and workflows into the delivery lifecycle.
Establish organization-wide standards, best practices, and frameworks for AI-assisted development.
Build and nurture internal communities of practice to ensure responsible, scalable adoption of AI.
3. Hands-on Innovation
Guide pilots, prototypes, and proof-of-concepts to demonstrate business impact of AI.
Provide architectural direction for integrating LLMs, AI services, and automation frameworks at scale.
Balance strategic oversight with occasional hands-on contributions to showcase technical credibility.
4. Knowledge Sharing & Capability Building
Drive the development of training programs, workshops, and enablement content.
Mentor Evangelists, Engineers, and Analysts, ensuring they are empowered with skills and confidence to apply AI in real-world contexts.
Establish metrics to measure the adoption, impact, and maturity of AI practices across the company.
5. External Advocacy & Thought Leadership
Represent our company externally at industry events, customer forums, and developer communities.
Publish articles, whitepapers, and open-source contributions that highlight our companys innovative AI adoption.
Identify external trends and translate them into actionable opportunities for our company.

Required Senior Platform Engineer
Position Overview:
We are assembling a highly skilled, small-scale engineering team focused on transforming generative AI innovation into real, production-grade platforms. As a Platform Engineer with a strong backend orientation, you will architect and implement the core infrastructure that enables rapid deployment, experimentation, and scaling of advanced AI capabilities. Your work will bridge cutting-edge research with reliable, secure, high-performance systems powering the next generation of digital intelligence products.
Responsibilities
Design and develop backend services and APIs for SaaS applications using Node.js and TypeScript
Architect and implement microservices and distributed systems optimized for scalability and maintainability
Build and maintain CI/CD pipelines for automated deployments and testing
Develop cloud-native solutions leveraging AWS services and Kubernetes (EKS)
Manage infrastructure as code using Terraform and Helm for Kubernetes deployments
Ensure system reliability, security, observability, and performance at scale
Collaborate with cross-functional teams to deliver features in an agile environment
Continuously improve platform architecture and development workflows.

In one sentence
As AI reshapes the future of software, we aim to harness its power to transform the way networks, IT systems, and business operations are built and managed. We seek a visionary and hands-on AI Evangelist & Enablement Lead to join our company.
This is a unique hybrid role that combines deep technical expertise with a passion for teaching, enabling, and advocacy. As a member of the company agentic AI office. you will join our internal team of champions for AI-driving the adoption of Agentic and Generative AI across our company engineering and product teams, while also positioning our company as a thought leader in the global technology ecosystem.
What will your job look like?
Internal AI Enablement & Strategy
Partner with engineering and product development teams to integrate and optimize AI/GenAI tools throughout the software delivery lifecycle, from coding and testing to deployment and operations.
Define and champion best practices, coding standards, and standardized workflows for AI-assisted development across the organization.
Establish and lead an internal AI community of practice, fostering a culture of innovation, knowledge sharing, and responsible AI adoption.
Hands-on Implementation & Prototyping
Lead the evaluation, piloting, and integration of new AI development platforms (e.g., advanced coding assistants, MLOps frameworks, internal LLM deployments).
Build proof-of-concept projects and reusable AI components to showcase the value of emerging technologies and architectural patterns.
Design and document robust frameworks for leveraging AI services with a focus on scalability, performance, security, and cost-effectiveness.
Knowledge Sharing & Education
Create and deliver hands-on workshops, tech talks, and practical tutorials on topics like prompt engineering, AI-powered debugging, and integrating LLMs into production workflows.
Develop an internal knowledge base with code samples, case studies, and technical documentation to empower engineers to adopt and scale AI independently.
Mentor engineers and team leads, helping them grow their skills and confidence in applying AI to complex telecom and enterprise challenges.
External Evangelism & Thought Leadership
Represent our company as a technical expert at industry conferences, customer events, and developer communities.
Publish technical blog posts, whitepapers, and open-source contributions that showcase our companys innovative use of AI in the telecom and enterprise software domains.
Stay at the forefront of the rapidly evolving AI landscape, bringing back insights and opportunities to the organization.

In one sentence
Join our companys GenAI & Data innovation hub as a hands-on technical leader driving the design and development of next-generation AI systems. Youll translate ambitious ideas into robust architectures, lead experimentation with cutting-edge AI tools, and help bring breakthrough concepts from prototype to production - all within a fast-moving, startup-style team inside a global enterprise.
What will your job look like?
Own the technical design and architecture of advanced GenAI systems and multi-agent frameworks across multiple innovation streams.
Work side-by-side with product innovators and data scientists to evaluate new GenAI technologies, APIs, and frameworks - translating potential into practical solutions.
Design and build prototypes and PoCs, validating technical feasibility, scalability, and business impact.
Drive best practices in model orchestration, vector storage, context management, and retrieval-augmented generation (RAG).
Collaborate with internal R&D and engineering groups to transition successful innovations into production-grade architectures.
Evaluate external technologies and startups for potential integration or partnership, contributing to build-vs-buy decisions.
Mentor and guide other engineers and AI specialists, fostering a culture of curiosity, technical excellence, and experimentation.
Operate with a startup mentality - agile, resourceful, and comfortable with fast pivots and evolving priorities.

We are looking for a visionary and deeply technical Chief Architect for Data, AI & GenAI Platforms to drive the architecture, tooling, and long-term technological direction of our enterprise data and GAI products and initiatives. This is a foundational leadership role that sits at the intersection of hands-on system design, cross-functional enablement, and long-term strategic innovation.
You will serve as the chief architect and technology strategist across all data, AI, and GenAI efforts-owning the blueprint that powers intelligent products, agent-based experiences, and scalable platforms. Your work will influence product design, platform infrastructure, governance models, and the broader technical ecosystem we operate in.
We are seeking someone with deep, hands-on experience building large-scale, production-grade data and AI systems-combined with the ability to mentor teams, influence engineering leaders, and partner with product and business leadership to deliver enterprise-scale transformation.
Key Responsibilities
Define and own the technology vision, architecture, and evolution roadmap for all data, ML/AI, and GenAI systems across the organization.
Lead the architectural design and hands-on guidance of scalable data pipelines, real-time analytics, AI agent platforms, model hosting infrastructure, and enterprise knowledge frameworks.
Oversee and connect multiple AI and data-related initiatives, including LLM agents, vector databases, RAG pipelines, MLOps, and enterprise data lakes-ensuring coherence, reusability, and security.
Establish and enforce technical standards, patterns, and tooling across teams to ensure high-quality engineering, model performance, and platform scalability.
Partner with product, engineering, and business leaders to align technology strategy with product goals, business outcomes, and customer needs.
Guide the evaluation and adoption of emerging technologies including open-source GenAI frameworks, fine-tuning platforms, orchestration tools, and scalable cloud-native architectures.
Mentor and support principal engineers, data scientists, platform leads, and architects-creating a culture of technical excellence, experimentation, and ownership.
Champion data quality, model explainability, AI governance, and responsible AI practices across the entire lifecycle.
Serve as a senior thought leader internally and externally-representing the company in technical forums, conferences, and customer engagements when needed.

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).

In one sentence
Join our companys GenAI & Data unit as a Lead Data Scientist and shape the future of AI innovation.
Drive the development and deployment of advanced machine learning models, lead a team of top-tier Data & AI experts, and turn bold ideas into scalable, high-impact solutions. Youll champion best practices, collaborate with R&D, and transform business objectives into cutting-edge, data-driven strategies - operating with startup agility inside a global enterprise.
What will your job look like?
As a Data Scientist Lead, your responsibilities include:
Leading and mentoring a team of Data and AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
Full responsibility for developing and implementing advanced machine learning models, and translating business objectives into actionable data-driven solutions, while also mentoring junior team members and staying current with industry trends
Working with R&D groups for integration
Maintaining existing AI/ML engines.
Promoting best practices in AI development.

Required Salesforce Analyst
Position Overview:
Be a part of the Global Business Applications group, leading our Post-sale and service organization from an information system perspective using the latest technology of salesforce, Gainsight, Five9, and other related tools including managing integrations between the different information systems, where youll play a key role in shaping our information systems. Leverage cutting-edge Salesforce technologies and related tools to drive business impact, while managing integrations across multiple platforms to ensure seamless data flow and operational efficiency.
Working with latest technology of Salesforce such as Experience cloud (Customer community including e-Commerce, internal community), Digital engagement, Einstein Prediction as well as Learning management system (Appinium), Five9 call center, CMS. Responsible for integrations and creating processes cross-systems.
Using the tools like Agentforce and SF flows you will build customer journeys to support both our employee and the end users. You will be working together with the business in building processes and solutions that simplify both for the customer and the employee.
Key Responsibilities:
Own and manage end-to-end projects and items, from initial scoping and stakeholder alignment through execution, testing, deployment, and post-launch support.
Lead and deliver end-to-end Salesforce Customer Experience solutions, driving initiatives such as Customer Success, Customer Support, Training, Services and more.
Work closely with business stakeholders and technical teams to design and execute complex projects using both out of box features.
Design and analyze various business processes and related data from the requirements gathering to implementation and roll out.
Responsible for evaluating and recommending a configuration that maximizes software capabilities.
Maintenance including problem (ticket) resolution within SLA and highest quality.
Evaluate new tools to be implemented with integration to Salesforce to drive solutions to business process issues and maintain data integrity.
Participate in Agile ceremonies and work within Scrum sprint cycles to prioritize, plan, and deliver Salesforce-related tasks and enhancements.