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We're looking for a talented web developer experienced in both sides of the stack to join our team.
A proactive self-motivated person to spearhead the development process for our various products.

On a daily basis you will :
Design and implement technical solutions with an emphasis on quality and performance.
Write smart and precise automated unit tests to speed up the deployment process.
Maintain code troubleshoot and solve issues.

We're looking for a talented and experienced AI/ML executive to join our team; A proactive, self-motivated, hands-on person to spearhead the development process for our various products.

As the VP AI/ML R&D, you will:
Be part of the companys executive team and help shape its strategy.
Build a product that includes cutting-edge technologies that combine Web and Machine Learning.
Lead a team of data scientists, web developers, and project managers.
Define technical requirements and system architecture.
Lead and motivate subordinates to accomplish the goals and objectives of the R&D process.

We are a fast-growing start-up company, located in Tel Aviv, with a very strong founding team (Ex-8200, Google, etc.). We are looking for candidates who are passionate about bringing a new feature from ideation to the customers hands, while solving complex challenges and building scalable infrastructure.

What Youll Do
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring).
Contributing to technological and architectural decisions, as part of the core engineering team.
Analyzing and improving efficiency, scalability, and stability of various backend system components.
Working on hard problems like static code analysis with low latency, graph algorithms, complex infrastructure, among others.

We are looking for an experienced and hands-on QA Lead to establish and lead the Quality Assurance function for an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a unique opportunity to build the QA function from the ground up while taking ownership of quality across a complex and evolving software platform.

The role combines hands-on testing, test automation, quality strategy, process definition, and close collaboration with Software Engineering, AI, and DevOps teams.

Initially, you will be the primary QA professional within the organization, responsible for defining methodologies, building testing capabilities, and ensuring high product quality. As the organization grows, you will have the opportunity to expand and lead a small QA team.

Job Responsibilities
Establish and lead the QA function across the organization's software products.
Define and implement QA methodologies, standards, processes, and best practices.
Create and maintain test strategies, test plans, test cases, and quality metrics.
Design, develop, and maintain automated test frameworks and automated test suites.
Perform hands-on manual and automated testing across software releases.
Validate functionality across Cloud, Edge, and AI-enabled system components.
Test web-based user interfaces, backend services, APIs, and system integrations.
Collaborate closely with Software Engineers, AI and Data Science teams, and DevOps engineers to ensure product quality throughout the development lifecycle.
Define and implement quality gates for software releases.
Identify, document, track, and help resolve software defects.
Drive continuous improvements in software quality, testing coverage, and release confidence.
Contribute to performance and scalability testing initiatives as the platform evolves.
Help build and grow the QA organization over time.

We are looking for an experienced and highly capable Lead Software Engineer to help drive the next generation of an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a highly technical, hands-on role for an engineer who enjoys solving complex software challenges while also influencing architecture, technology decisions, and engineering best practices.

This role is intended for a highly technical engineer who enjoys remaining deeply involved in software development while helping shape architecture and technical direction.

You will play a key role in shaping the evolution of a platform that collects and processes industrial data, integrates with manufacturing systems, leverages AI technologies, and delivers actionable insights and optimization capabilities in near real-time.

This is not a people-management role. The position combines significant hands-on software development with technical leadership, architectural ownership, and close collaboration with engineering, DevOps, and AI teams.

Job Responsibilities
Design, develop, and maintain core components of a modern Industrial AI platform.
Write production-quality code and take an active hands-on role in the implementation of critical software components.
Lead the development of complex features and technical solutions from design through delivery.
Contribute to the architecture and technical direction of software products across the organization.
Drive architecture discussions, design reviews, and technology evaluations.
Design scalable, reliable, and maintainable software solutions.
Collaborate closely with AI and Data Science teams to enable seamless integration of AI capabilities into software products.
Work with Edge and Cloud technologies to support distributed industrial systems.
Provide technical leadership, mentorship, and guidance to development teams through active involvement in design and implementation.
Partner with DevOps teams to ensure smooth deployment processes, operational excellence, and platform scalability.
Help evolve multiple products toward a unified and scalable platform architecture.
Contribute to software engineering standards, best practices, code quality, and technical excellence across the organization.

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

We are looking for an extraordinary FW engineer to drive state of the art technologies for our products.
In this role, you will work with a variety of disciplines and products, developing software and firmware at the WiFi MAC Level.

You'll ensure that every aspect of our products works both on its own and together.
Its our goal to make our products smarter and more efficient than ever before.
Join us, and youll directly impact the functionality of devices people use worldwide.

Description
As a senior WiFi MAC Software Engineer, your contributions will include the following:
Writing design documents. Designing and implementing software and firmware for WiFi and 802.11 MAC Level features at the MAC. Optimise and fine-tune the firmware and MAC Level algorithms.
Involvement in firmware architecture design, and system level requirements from top-level down to block level.
Develop and support OSX development tools and kernel drivers.
This role requires high sense of responsibility and ability to work in team.
The people who work here have reinvented and defined entire industries with our products and services.
The same passion for innovation also applies to our practices - strengthening our commitment to leave the world better than we found it.
You should join us if you want to help deliver the next amazing Apple product!.

We're seeking a passionate and skilled experienced Networking Embedded Firmware Engineer to play a pivotal role in delivering the next generation of our silicon. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation.

In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of our future products by ensuring our silicon meets the highest standards.

We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind our company's security and safety AI models and the data platform that powers them. You will lead a multidisciplinary team of ML engineers, data scientists, and software engineers who ship real-time inference at scale, automated red-teaming of GenAI systems, and the Databricks/Spark data platform underneath. This is a hands-on people-leadership role: you set technical direction, are accountable for delivery and quality, and you build and grow the team.
What your team owns
The group is responsible for a large Python + Rust + PySpark monorepo (dozens of production services and shared libraries) spanning three connected domains:
1. Content-moderation inference at scale
Real-time, multi-tenant detection across text, image, video, and audio - hate speech, CSAM, nudity, child grooming, extremism, PII, prompt injection, age estimation, and more - served through an in-house ActiveServe framework over NVIDIA Triton and a Rust detection monolith, on latency-sensitive, SLA-bound, customer-facing traffic with per-customer custom models.
2. GenAI safety & red-teaming
Automated red-teaming that attacks customers' LLM applications with a research-driven attack taxonomy and measures attack-success rate, alongside the defensive side - LLM-as-judge escalation to cut false positives and the tooling that authors and refines moderation policies - built on a multi-provider LLM foundation (Bedrock, Anthropic, OpenAI, Gemini, xAI Grok) and forming our company's leading edge into agentic-AI safety.
3. Data platform & MLOps
An end-to-end lakehouse and MLOps stack on Databricks - bronze/silver/gold ingestion, PySpark pipelines, and model training, versioning, and promotion through MLflow / Unity Catalog into Triton serving - with the performance-critical hot paths engineered in Rust (PyO3/maturin) for sub-millisecond, high-QPS matching and detection.
What you'll do
Lead and grow the team - mentor ML engineers, data scientists, and software engineers, and own hiring, onboarding, 1:1s, career development, and performance.
Set direction and deliver - set technical direction and standards, turn company and product goals into a prioritized roadmap, and own the quality, reliability, and delivery of the systems above across parallel workstreams.
Champion excellence and partnership - stay hands-on to review designs and unblock the team, drive engineering excellence (testing, observability, CI/CD, on-call, cost/latency), keep the team at the state of the art in ML, LLMs, and GenAI safety, and partner with Product, Platform, and GenAI-safety stakeholders.
Leadership competencies
People-first: builds trust, grows engineers, and creates a healthy, inclusive, high-ownership culture.
Outcome-oriented: drives clarity, sets priorities, and delivers under ambiguity without micromanaging.
Technical credibility: earns the team's respect through sound judgment on architecture and trade-offs.
Systems thinker: balances short-term delivery against long-term platform health, cost, and tech debt.

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.

You are the guardian of our source of truth. our company runs on a stack of 25+ interconnected SaaS tools, Salesforce, HubSpot, NetSuite, Workato, Gong, Outreach, IronClad, Okta, and more, and when that stack misfires, every team in the company feels it. Your job is to make sure it doesnt.
But ownership isnt just maintenance. As we scale our GenAI capabilities across the company, the quality of our core systems becomes the foundation everything else is built on. Youll be the one who ensures that when our GenAI Builder, our RevOps team, or our Finance team needs data, its clean, current, and accessible. Youre not a systems administrator. Youre the person who decides alongside with the business opener what the core stack looks like, how it grows, and how to build our agentic layer on top of it.
Youll manage a small team alongside a curated bench of specialized freelancers and subcontractors for deep technical work, and youll be the escalation point when things break. You report directly to the CFO.
What Youll Own
Core Stack Administration
Own the full tech stack: GTM (Salesforce, HubSpot, Outreach, Gong, ZoomInfo, Seismic), Finance (NetSuite, Stripe, Mesh, Opstream, Dokka, Expensify), Operations (JIRA, Notion, IronClad), and Infrastructure (Okta, Workato, Slack, Google Analytics) some of the tools will be co owned with IT
Ensure data integrity, system reliability, user access governance, and documentation across all platforms
Manage vendor relationships, license renewals, and cost optimization across the portfolio.

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.