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Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for next generation of data-centric security.

As the technical focal point for quality, you will coordinate with R&D squads to ensure robust automation coverage, while actively writing and maintaining test scripts to support the teams. You will own our real-device mobile environments and oversee release readiness, independently auditing test scenarios and driving automation runs to provide the final technical "go/no-go" for new versions.

We are seeking our Data Operations Team Leader!
This person will oversee a team of data operations specialists responsible for labeling data for machine learning and AI projects.
This role involves managing day-to-day operations, ensuring annotation quality and accuracy, developing guidelines, and collaborating with cross-functional teams to meet project deadlines and objectives.
What Youll Do:
Manage the end-to-end data workflow, from incoming data through annotation delivery to the ML teams, including overseeing data upload processes and ensuring data availability.
Manage database operations and ensure the integrity and availability of annotation data.
Become a Subject Matter Expert in our data and actively participate in hands-on annotation projects.
Create and maintain onboarding materials, annotation guidelines, and operational documentation to support knowledge sharing and consistent annotation practices.
Lead a team of Data Operations Specialists by managing task assignments, scheduling, and day-to-day execution. Provide the tools and processes needed for efficient work, ensure high annotation quality in collaboration with the ML teams, and continuously improve workflow efficiency
Own the annotation platform, driving bug fixes, feature development, and workflow improvements using Python and GenAI tools.
Develop and maintain operational dashboards and real-time performance metrics to monitor team efficiency, quality, and output.
Collaborate closely with data scientists, machine learning engineers, and product managers to understand annotation requirements and project goals. Coordinate cross-functional communication, monitor operational KPIs, and oversee daily operations to keep projects on track and ensure adherence to shifting schedules.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.
This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.
What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.

We are now hiring a talented, self-driven, and passionate Senior DevOps to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance.
Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools.
Design and build customer cloud / on-premise data solutions for storage, lookup, and processing flows.
Study and incorporate standards for data governance, security, and compliance.
Provide online and real-time monitoring and analysis of data systems health, accuracy, and costs.
Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.

This is not a typical full-stack position. We're looking for an exceptional Staff / Principal Engineer who can own complex technical domains, shape system architecture, and lead end-to-end development while remaining 100% hands-on. You will report directly to the VP R&D, work closely with them on technical strategy and architecture, gradually take ownership of architectural responsibilities across the platform, and become one of the company's leading technical voices. Along the way you'll help mayors and other city leaders understand their residents and their city in more effective ways, improving the lives of millions of citizens around the world.

Key Responsibilities
Own complex product domains from architecture through production
Lead end-to-end feature development across frontend, backend, and cloud
Drive architectural decisions and technical direction across the platform
Design and build scalable distributed systems
Design and develop AI-powered capabilities as part of the core product
Work closely with the VP R&D on technical strategy and architecture
Mentor engineers through technical leadership (without people management)
Serve as one of the company's technical leaders, influencing engineering standards and long-term technical strategy

We are looking for a strategic product leader to head Data Platform domain - a core area of our offering. This role is critical to the companys growth, driving both short-term impact and long-term vision for managing and leveraging massive amounts of structured and unstructured clinical data. In this role, you will lead the product strategy and execution for the domain, while guiding and mentoring product managers within the team. You will work closely with Engineering, Data Science, Clinical Experts, the rest of the Product group, as well as partners and strategic customers, shaping how our platform operates and scales to meet the needs of our growing business.

Responsibilities
Define and drive the roadmap for Data Platform, balancing short-term business needs with long-term scalability and platform strategy.
Own the product vision for data ingestion, processing, and access, ensuring the platform supports all product groups and business initiatives.
Lead and mentor a team of product managers, fostering growth, collaboration, and a culture of ownership and impact.
Support your team in translating complex technical and data requirements into clear product specifications, prioritizing initiatives that maximize business impact.
Partner closely with Engineering, Data Science, Clinical Experts, Customer Success, the entire PM group, and external partners and strategic clients, to design and prioritize initiatives, ensuring data quality, performance, and usability.
Drive cross-team technical initiatives end-to-end, coordinating dependencies and aligning stakeholders across the organization.
Establish key metrics to measure platform performance, adoption, and impact on product outcomes.

Were seeking a hands-on, analytical, and highly collaborative FinOps Lead to join our Infrastructure group.

Responsibilities
In this role, you will build and own the techno-financial operations practice for cloud, infrastructure, AI, data, and third-party engineering services. You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance to make infrastructure spend transparent, predictable, optimized, and aligned with business value.

The role is in the junction of engineering and finance, You will be responsible for creating visibility into cloud and infrastructure costs, driving optimization initiatives, improving forecasting accuracy, defining cost governance practices, and helping engineering teams make better cost-aware technical decisions without slowing down delivery.

We are now looking for a Power Optimization and Analysis Engineer! We prides ourselves on having energy-efficient products. We believe that continuing to maintain our products' energy-efficiency compared to competition is key to our continued success. As part of the u/arch team in the Switch group, you will be responsible for analyzing full chip and unit-level power data and driving the FE/BE ASIC teams to improve their units power efficiency; you will be responsible for researching, developing, and deploying methodologies to help our products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of our Switches product line.

As a member of Switch u/arch Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for our next generation switches. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

What You'll Be Doing:

Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.

Develop and share best practices for performing pre-silicon power analysis.

Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.

Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.

Select and run a wide variety of workloads for power analysis.

Prototype new architectural features in Verilog and power analysis.

We're looking for a research-minded, DevOps-fluent Security Researcher to own the "left" side of the platform - from source code and IaC, through CI/CD pipelines, into running cloud workloads and the sensitive data they touch. You'll trace how risk originates in a commit or a data store and follows an attack path all the way to runtime, then turn that research into the posture logic that powers our code-to-cloud, CSPM and DSPM capabilities. This role sits at the intersection of DevSecOps, cloud, data security, and AI systems.
Conduct deep technical research across the full software development lifecycle - source code, IaC, dependencies, CI/CD pipelines, artifacts, and runtime - to map the environment and discover novel risks, misconfigurations, and end-to-end attack paths (code-to-cloud), then enrich findings with context and generate meaningful, actionable remediation.
Lead research into Data Security Posture Management (DSPM): how sensitive data is stored, classified, moves, and gets exposed across cloud data stores, and translate this into data discovery, classification, and data-flow risk logic.
Correlate runtime context from our eBPF sensors with code, pipeline, and data findings to prioritize what is actually reachable and exploitable - not just theoretically vulnerable.
Research and apply AI and ML techniques to strengthen the policy engine itself - improving detection accuracy and coverage, reducing false positives, and making risk prioritization and analytics smarter across code, cloud, data, and runtime signals.
Lead product initiatives from inception to production. Collaborate closely with product, backend, and GTM, translating research into shipped product capabilities.
Define and build complex policy and risk-prioritization logic spanning code, cloud, data, and runtime.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer on the Agent Platform Detection team, you will be the technical visionary responsible for defining and evolving the architecture of our detection, triage, and response platform. You will lead the design and execution of backend systems and SaaS services that power alert propagation, alert lifecycle management, and response capabilities at extraordinary scale. Your technical leadership will bridge the gap between long-term architectural strategy and high-velocity product delivery, influencing how detection and response workflows are built and operated across platform.

Were looking for a Senior Product Manager to help us build on that momentum, someone with the drive to lead products that matter, the instincts to cut through the noise and focus on what moves the needle, and the leadership to drive execution across a global, multi-disciplinary team.

What You Will Be Doing
Own and drive the product roadmap for a core product area - from ideation through delivery.
Collaborate across engineering, design, operations, sales, and go-to-market to identify, shape, and deliver high-impact product initiatives.
Build a deep understanding of users and the market, and turn that understanding into a product people actually use.
Drive end-to-end execution - build trust, remove blockers, and hold the bar on quality and timelines.
Contribute to the overall product strategy by bringing customer insight, data, and sharp cost-benefit judgment to strategic discussions.

We're looking for an experienced Senior Product Manager who is excited about building category-defining AI products, working directly with enterprise customers, and shaping the future of agentic experiences.

We work primarily remotely, with one collaborative team day from our Tel Aviv office.

About the Role
You'll co-lead ExpertX, our company AI agent platform. ExpertX deploys AI agents into client organizations to answer questions, train, and coach employees which means success isn't defined by shipping features. It's defined by customer adoption, measurable business KPIs, and expanding from initial use cases into broad organizational deployments.

This is a high-ownership role in a fast-moving startup. You'll shape product strategy, drive execution, partner closely with Engineering, and work directly with enterprise customers often all within the same week.

What You'll Do

Co-lead ExpertX end-to-end from product vision and roadmap through delivery and measurable customer impact.
Own the product lifecycle from customer discovery and prioritization to requirements, launch, and continuous optimization.
Translate customer insights into scalable product opportunities by partnering closely with Sales and Customer Success.
Partner with Engineering to define product strategy, prioritize initiatives, and deliver high-impact AI capabilities.
Shape the agent experience, including trust, guardrails, human-in-the-loop workflows, and graceful handling of AI uncertainty.
Design persona-specific product experiences for Builders, Admins, Managers, and End Users.
Define how AI agents are created and maintained, including knowledge architecture, prompting standards, and quality assurance.
Support customer growth by partnering with Sales and Customer Success on adoption, QBRs, governance discussions, and expansion opportunities.
Present product strategy and roadmap to senior customer stakeholders.
Thrive in a fast-paced startup environment by making thoughtful trade-offs, moving quickly, and adapting as priorities evolve.

We're looking for a Principal Software Engineer to take end-to-end ownership: from research and design through production, on systems that combine classical algorithms with AI/LLM-based capabilities. This is an AI-native role in both senses - you'll build security for AI systems, and you'll work AI-first yourself, using coding agents across the development lifecycle and knowing how to get consistently high-quality results from them.

You'll work as a senior individual contributor with real influence over architecture and product direction, collaborating directly with security researchers, data scientists, and product managers across our Poland and Israel teams (1-hour time difference - genuine daily collaboration, not satellite work).


What You'll Do
Own solutions end to end - from studying the domain and generating your own ideas, through research and design, to coding, shipping, and supporting them in production.

Drive independent research in a new domain where problems are not fully defined, balancing innovation with practical, cost-effective engineering

Build and evolve backend & frontend, extending traditional microservices with AI/LLM-based capabilities

Use AI agents throughout development - research, design, coding, and testing - to raise both speed and quality

Work closely with security researchers, data scientists, and product managers to turn ideas into shipped product