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This role sits at the intersection of customers, Engineering, Data Science, GIS, Sales, Marketing, and Customer Success. You will translate validated market needs into scalable products, clear technical requirements, and prioritized roadmaps.

The ideal candidate combines strong product strategy, technical fluency, customer discovery, and hands-on product ownership, with experience building B2B technology products in data-rich or infrastructure environments.



Key Responsibilities


Product Strategy & Roadmap

Own and evolve the product roadmap in line with company and revenue goals.
Shape the positioning and evolution of Recover, EarthWorks, EO Discover, and future SaaS, DaaS, API, and AI offerings.
Prioritize scalable, recurring product opportunities over one-off customer requests.
Build business cases and define product KPIs to support investment and prioritization decisions.


Customer & Market Discovery

Conduct structured Voice of Customer research with utilities, engineering firms, agencies, and partners.
Translate customer workflows into clear problem statements, personas, and Jobs-to-be-Done.
Validate concepts through prototypes, MVPs, pilots, and market feedback.
Assess market size, adoption potential, and willingness to pay.


Product Ownership & Delivery

Translate strategy into epics, features, user stories, and acceptance criteria.
Own and prioritize the backlog based on customer value, strategic fit, dependencies, and effort.
Partner closely with Engineering, Data Science, UX, and GIS through planning, refinement, development, and release.
Coordinate UAT, define release criteria, and ensure clear traceability from customer problem to measured outcome.


Technical Product Leadership

Work across SaaS, cloud platforms, APIs, integrations, AI/ML, geospatial analytics, remote sensing, and SAR.
Translate technical capabilities into customer-facing products and workflows.
Understand architecture, data flows, integrations, and technical trade-offs well enough to work effectively with R&D.
Challenge technology-led development that lacks clear customer or market value.


Go-to-Market & Product Performance

Partner with Marketing, Sales, and Customer Success on ICPs, packaging, pricing, positioning, launches, pilots, and POCs.
Support strategic customer and partner engagements.
Track product success through adoption, retention, revenue, customer value, quality, and time-to-value.
Use customer feedback, product usage, and competitive insights to drive continuous improvement.


Product Operations

Improve intake, prioritization, release-management, and product governance processes.
Build practical templates and dashboards for roadmaps, business cases, launches, and product performance.
Strengthen coordination across Product, Engineering, Operations, Sales, Marketing, and Customer Success.

We are seeking a BSP Software Design Engineer to join our R&D team in Israel.

The role involves developing and integrating Board Support Packages (BSPs) and low-level drivers for real-time embedded systems operating in mission-critical and rugged environments.

Key Responsibilities

- Design, implement, and maintain BSPs and device drivers for embedded platforms.

- Work closely with hardware, systems, and QA teams to ensure robust hardware-software integration.

- Participate in bring-up activities, debugging, and optimization of embedded platforms.

- Contribute to system architecture discussions and provide technical input on platform design.

The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.

Our mission is simple: help our customers grow their top-line revenue by leveraging the massive sales networks, programs, and brand power of the hyper-scalers.
What Youll Do:
Design and build the full architecture of an Agentic Platform
Own end-to-end development - from infrastructure to user-facing features
Work across multi-cloud environments (AWS, GCP, Azure)
Deeply integrate AI tools and models (OpenAI and others) into the core product
Make independent architectural and product decisions with high autonomy

We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions.
The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams.
What you'll do:
Define and drive the technical strategy and architecture of automation.
Design, develop, and maintain scalable automation frameworks.
Develop automated tests using Python and pytest.
Integrate and maintain automation within CI/CD pipelines, including Jenkins.
Define automation best practices, coding standards, and quality guidelines.
Improve automation stability, execution time, coverage, and maintainability.
Lead debugging and root-cause analysis of complex automation and system issues.
Mentor automation engineers and conduct code reviews.
Collaborate with R&D to improve product testability and quality.
Evaluate and introduce new technologies and approaches, including AI-based testing and automation.

We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions.
The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams.
What you'll do:
Define and drive the technical strategy and architecture of automation.
Design, develop, and maintain scalable automation frameworks.
Develop automated tests using Python and pytest.
Integrate and maintain automation within CI/CD pipelines, including Jenkins.
Define automation best practices, coding standards, and quality guidelines.
Improve automation stability, execution time, coverage, and maintainability.
Lead debugging and root-cause analysis of complex automation and system issues.
Mentor automation engineers and conduct code reviews.
Collaborate with R&D to improve product testability and quality.
Evaluate and introduce new technologies and approaches, including AI-based testing and automation.

We're seeking a Sr. Director, Platform to lead our software platform group - a team of ~45 engineers distributed across Israel, India, Ukraine, and the UK. This is a hands-on leadership role combining people management with technical direction, driving a cloud-native Kubernetes-based platform that powers RAN deployments globally.
You'll report to the VP of RANOps R&D and play a critical role in shaping how we build and scale our platform software.
Key Responsibilities:
Lead and develop a multi-regional engineering organization (~45 engineers) across 5 teams and 4 countries and multiple time zones
Drive technical strategy for the cell-site software platform, built on Kubernetes (EKSA/SUSE) in cloud-native architecture
Champion cross-team collaboration within the broader R&D organization
Spearhead adoption of AI-assisted development tools and workflows to accelerate engineering productivity
Improve system debuggability and observability across complex, distributed deployments
Lead modernization efforts for legacy codebases while maintaining production stability
Define and formalize team-level KPIs aligned with SAFe practices
Enhance CI/CD pipelines and automation to improve delivery velocity and quality
Balance real-time constraints, resource management, and networking requirements inherent to RAN software

We're looking for engineers who are curious, innovative, and passionate about solving difficult system-level problems while embracing AI as part of modern engineering.
What you'll do:
Design and execute end-to-end integration and validation scenarios across multiple product domains.
Validate new features and ensure seamless interoperability between distributed system components.
Investigate complex cross-component issues through deep technical analysis and root-cause investigation.
Analyze application and system logs to identify issues and drive resolution.
Develop a strong understanding of system architecture, data flows, and interactions between services.
Collaborate closely with Software Engineers, Architects, Product Managers, and cross-functional engineering teams.
Participate in feature planning by providing an integration and validation perspective early in the development lifecycle.
Continuously improve validation methodologies, engineering processes, and overall product quality.
Leverage AI tools to accelerate troubleshooting, technical research, documentation, and engineering productivity.
Challenge existing approaches and introduce innovative ideas that improve engineering efficiency and product quality

We are looking for a highly motivated and experienced Sr. Principal DevOps Engineer to design, build, and maintain scalable, secure, and highly available cloud infrastructure for our next-generation products.
The role drives DevOps activities across the engineering organization, with a strong focus on automation, CI/CD optimization, infrastructure as code, and the use of modern AI tools to improve development efficiency, reliability, and the software delivery lifecycle.
What you'll do:
Design, implement, and maintain scalable, secure, and highly available cloud infrastructure (e.g., AWS, Azure, GCP)
Develop and optimize CI/CD pipelines to improve deployment speed and quality
Monitor system performance, troubleshoot issues, and ensure high uptime and reliability
Automate provisioning, configuration management, and monitoring using tools like Terraform, Ansible, or similar
Collaborate with software engineers to understand and support their infrastructure needs
Define and enforce best practices for DevOps, infrastructure as code, security, and observability
Lead AI initiatives within the engineering group by leveraging AI-driven tools and integrating them into the CI/CD pipeline to enhance code quality and optimize the software development lifecycle

we are looking for a System Architecture Team Lead (Platform, Cloud).
The System Architecture Team Lead will lead and mentor a team of architects responsible for the foundational platform, kernel optimizations, and cloud-native infrastructure. This role focuses on the "engine" of the system-ensuring a scalable, high-performance, and resilient architecture built on Kubernetes, microservices, and advanced networking.
You will serve as the primary technical authority for our infrastructure strategy, driving the evolution of our cell-site software platform and integrating AI-driven capabilities into our architectural framework.
What you will do:
Lead & Mentor: Lead an existing team of 6-7 System Architects, fostering a culture of technical excellence and continuous architectural innovation.
Standardize Governance: Establish and enforce standardized methodologies for the team, including templates and quality bars for Technical Specification Documents (TSDs) and architectural RFCs.
Platform Strategy: Drive the technical strategy for the cell-site software platform, built on Kubernetes (EKSA/SUSE) in a cloud-native architecture.
AI & Productivity: Spearhead the adoption of AI-assisted development tools and workflows to accelerate engineering productivity and automate Root Cause Analysis (RCA).
Operational Integration: Ensure architects actively participate in planning and execution of tasks, defining and formalizing feature-level KPIs.
Observability & Debuggability: Lead initiatives to improve system observability and debuggability across complex distributed deployments.
Systems Engineering: Balance real-time constraints, resource management, and networking requirements inherent to high-performance systems.
Feedback Loop: Incorporate feedback from deployed systems into product improvements and the technical roadmap.

We are looking for a hands-on Senior Applied AI Evaluation Engineer to improve how our RAN R&D organization analyzes engineering tickets, supports Root-Cause Analysis, recommends ownership, and learns from resolved cases.
You will build rigorous evaluation datasets, establish meaningful baselines, compare internal and approved external tools, analyze failure modes, and prototype improvements across retrieval, classification, prompting, agent workflows, and model selection.
This role is focused on measurable, evidence-based improvement rather than AI demonstrations. You will assess whether AI-generated conclusions are accurate, grounded in evidence, appropriately calibrated, and useful to engineering teams.
As a secondary area of focus, you will analyze engineering workflows at case and team level to identify bottlenecks, handoffs, dependencies, and opportunities for process improvement.

We are looking for a hands-on Senior RAN Systems Engineer to lead technical evaluations and Proof-of-Concept activities across our RAN R&D organization.
You will take complex engineering questions and turn them into structured, reproducible evaluations that support clear technical decisions. You will define the scope and success criteria, analyze the relevant evidence, run the required lab, simulation, automation, or data-analysis workflows, and present clear conclusions and recommendations.
Your work will directly influence engineering priorities and help teams reach faster, better-supported technical decisions.
This is a senior individual-contributor role combining strong RAN knowledge, hands-on investigation, structured problem-solving, and end-to-end technical ownership.
What you will do:
Own selected RAN POCs and technical evaluations from initial definition through a clear, evidence-based conclusion.
Define the scope, evaluation approach, success criteria, required evidence, and execution plan.
Analyze logs, traces, configurations, software builds, test results, ticket history, and relevant lab or field data.
Run evaluations using lab environments, simulations, automation frameworks, dashboards, and other engineering tools.
Develop practical Python or shell scripts for data preparation, validation, and repeatable analysis.
Reproduce key findings, identify missing evidence, and clearly communicate assumptions, limitations, and recommendations.
Work with Development, QA, System Integration, Lab, Release, Field, and Radio teams to close technical and data gaps.
Convert recurring manual activities into reusable scripts, templates, checklists, and working practices.

we are looking for a hands-on technical leader to build and operate a secure local large-language-model platform for the company. The platform will allow engineering and business teams to use generative AI with proprietary source code, product documentation, technical standards, test artifacts, support knowledge, and other approved internal data while keeping sensitive information within company-controlled environments.
This is a senior individual-contributor role spanning applied LLM engineering, platform architecture, search and data pipelines, security, and production operations. You will turn promising prototypes into a dependable internal capability: selecting and optimizing open-weight models, building permission-aware retrieval, creating reusable APIs and tools, integrating with existing engineering workflows, and establishing objective ways to measure quality, safety, latency, capacity, and business value.
The successful candidate will understand that a useful enterprise LLM is more than a model and a chat interface. It requires trustworthy source grounding, strong access controls, repeatable evaluation, careful tool permissions, observable production services, and an operating model that keeps data, indexes, prompts, models, and dependencies current. You will make pragmatic build-versus-buy decisions and choose the simplest approach-search, retrieval-augmented generation (RAG), prompting, workflow automation, or model adaptation-that meets each use case.
Initial use cases may include engineering knowledge discovery, source-code understanding, troubleshooting assistance, technical-document Q&A and summarization, test and log analysis, and drafting structured engineering artifacts. The platform should be extensible to additional approved use cases as needs and model capabilities evolve.

we are looking for a hands-on wireless systems engineer to lead the development of a multi-RAT digital twin for our Open RAN solution. The digital twin will execute production RAN software-beginning with scheduler and MAC behavior-in a closed loop with PHY, channel, UE, traffic, and network models. It will allow engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without requiring a dedicated physical radio setup for every development cycle.
This is a senior individual-contributor role at the intersection of wireless systems, simulation, production software, and AI/ML. You will evolve an existing LTE end-to-end simulator into a scalable engineering platform for feature development, regression testing, performance optimization, and evidence-based pre-validation. Initial use cases include MAC scheduler and link-adaptation improvements, power control, mobility and interference scenarios, and neural-network-assisted channel estimation.
The successful candidate will understand that a useful digital twin must be both fast and trustworthy. You will define multiple fidelity levels-from rapid surrogate models to full PHY processing-and establish repeatable methods for calibrating the twin against lab or field reference data. The goal is to reduce dependence on continuous lab access while maintaining clear, measurable confidence in the simulation results.

We are looking for a Junior Fullstack Engineer who is excited about building real product features end-to-end and eager to grow in modern web development within RIVO, our flagship platform.
This is not an internship, were looking for someone with solid foundations in TypeScript, Node.js, and ReactJS, who is motivated to deepen their skills in production-grade systems.
Youll work alongside experienced engineers to design and build features across the stack, from UI and API design, through data modeling, to performance and reliability improvements.
Location: Kfar Saba, Israel
Reporting to: Full Stack Squad Lead
Employment Type: Full-time Position
Roles and Responsibilities:
Develop and maintain frontend components using ReactJS.
Build backend services and APIs using Node.js + TypeScript.
Work with MongoDB for data modeling, queries, and performance improvements.
Integrate frontend and backend flows end-to-end (auth, data fetching, state management, etc.).
Implement modules from technical design to delivery including error handling, logging, and monitoring.
Contribute to code quality: clean code, reviews, refactoring, and testing.
Support performance improvements across the UI and API layers.
Collaborate with Product and Engineering teams to deliver user-facing features.