לוח משרות דרושים, לחיפוש זה נמצאו 34,518 משרות

we are building a vertically integrated AI neocloud from the electron up. Because we own the entire stack-from clean energy generation to the GPUs running customer training jobs-we treat power as a control input, not a constraint. To support our massive scaling vector from 30,000 accelerators to 300,000 without a linear growth in headcount, we are building the Cloud Availability Platform Engineering (CAPE) organization. CAPE serves as the horizontal reliability spine beneath all of our company Cloud. As the founding Engineering Manager, Production Engineering in Tel Aviv, you will stand up our local presence from scratch, driving a cultural shift from reactive firefighting to software-defined engineering.
This is a hybrid leadership and technical role where you will hire, scale, and lead a local team of exceptional systems generalists while remaining deeply hands-on in the code and incident response. You will ensure that your team spends at least 30% of their bandwidth on strategic automation, tooling, and firmware optimization primitives to prevent the operational treadmill. If you want to bridge core software layers with physical infrastructure and write the playbook for an entire engineering site, this founding seat is for you. This is a full-time position located in Tel Aviv, Israel.
What Youll Be Working On
Team Leadership & Founding Culture: Recruit, mentor, and establish a high-performing Production Engineering footprint in Tel Aviv, setting an uncompromising cultural standard for operational discipline and systems-first engineering.
Incident & On-Call Ownership: Partner with US and Dublin teams to run a follow-the-sun global on-call rotation, while championing a strict blameless post-mortem culture that targets systemic failures over human error.
Software-Defined Operations: Drive alert-reduction initiatives to improve fleet signal-to-noise ratios, automate routine manual workflows using modern runbook automation (e.g., Temporal), and build predictive monitoring to catch SEV1/SEV2 events before customers do.
Collaborative Governance: Act as the ultimate Production Gatekeeper across cross-functional compute, storage, networking, and platform teams, holding a strict line on Production Readiness Reviews and change control.
Strategic Reliability Engineering: Protect team bandwidth to ensure engineers spend at least 30% of their time on strategic automation, tooling, and firmware optimization primitives rather than drowning in incident response.
Physical-to-Digital Automation: Instill a software-first approach to physical problems, ensuring that any physical intervention occurring twice is successfully converted into a software-defined auto-remediation.

As a Senior Cloud Support Engineer in our Tel Aviv team, youll be a key technical partner for our customers, helping them get the most out of our companys GPU-powered infrastructure. Youll dive deep into complex technical challenges, collaborate closely with global engineering teams, and play an active part in building a world-class customer experience.
At our company, we move fast, value initiative, and trust our people to think creatively and act with ownership. If you love solving problems, working with cutting-edge technologies, and being part of a close-knit, mission-driven team, this is the place for you.
What Youll Be Working On:
Deliver hands-on, high-quality technical support through Zendesk, meeting SLAs and keeping CSAT at 95%+.
Be part of a 24/7 support rotation ensuring rapid response to critical issues.
Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.
Manage alert triage, support maintenance windows, and run node delivery testing.
Work closely with global SRE, Networking, and Storage teams from triage through to RCA (root cause analysis).
Create internal documentation, onboarding materials, and SOPs to strengthen the global support process.
Suggest and implement process and tooling enhancements to make our systems more efficient and resilient.

About This Role:
As the Data Center Design Engineer, you will be the primary architect of our companys operational computing environments. You will bridge the gap between heavy infrastructure and high-performance computing by designing the "whitespace"- the critical area where our servers, storage, and network equipment live. Your work is fundamental to our companys mission of aligning the future of computing with the future of the climate; by optimizing power distribution, cooling, and equipment density, you directly enable the scalability and energy efficiency of our sustainable cloud platform.
You will join a bold, collaborative team where you will lead the planning and implementation of high-density layouts and modular infrastructure. The ideal candidate is a technical problem-solver who thrives in the intersection of mechanical, electrical, and network engineering. This is a full-time position designed for an innovative engineer who wants to build the physical foundation of an ethical and sustainable digital world.
What Youll Be Working On:
Whitespace Design & Planning: Architect comprehensive whitespace layouts, including rack placement and aisle configurations, to maximize equipment density while maintaining optimal airflow and accessibility.
Infrastructure Integration: Partner with Electrical and Mechanical teams to seamlessly integrate power delivery and cooling systems into the whitespace, ensuring robust support for high-performance cloud workloads.
Capacity & Growth Modeling: Develop sophisticated 3D models and capacity planning tools to project future utilization, ensuring our data centers remain scalable and redundant (N+1, 2N).
Connectivity Strategy: Coordinate with Network and Cloud teams to design and implement structured cabling and fiber management systems that meet rigorous performance and low-latency requirements.
Cross-Functional Leadership: Participate in design reviews and risk assessments, providing technical guidance to internal stakeholders and external contractors during construction and commissioning phases.
Compliance & Excellence: Enforce industry standards (TIA-942, ASHRAE) and local building codes to ensure every design is safe, compliant, and performs to the highest reliability standards.
Technical Documentation: Produce and maintain high-fidelity CAD/BIM drawings and schematics that serve as the definitive source for operations, maintenance, and auditing.
Continuous Innovation: Evaluate emerging modular technologies and design methodologies to relentlessly improve energy efficiency and site performance.

As a Data Center Operations Project Manager on our companys Cloud Deployment Operations team, you will drive the physical expansion and operational readiness of our sustainable data center infrastructure. In this full-time role, you will lead complex, high-impact infrastructure deployment projects across our data center environments. You will be the orchestrator ensuring sites are ready, structured cabling and physical layer infrastructure are installed to exact specifications, and our cutting-edge cloud infrastructure is brought online efficiently and reliably to power the future of compute.
The ideal candidate is a self-directed, highly organized technical project manager who thrives in fast-paced, dynamic environments. You bring a deep understanding of physical infrastructure deployments, data center operations, and cloud readiness, paired with the exceptional collaboration skills required to align cross-functional engineering teams and external vendors. By bridging the gap between physical deployment and operational reality, you will directly accelerate our company's mission to build the most climate-aligned digital infrastructure on earth.
What Youll Be Working On:
Ensure Site Readiness: Oversee all aspects of site readiness, proactively coordinating with diverse stakeholders to guarantee facilities are fully prepared for seamless equipment installation and operational deployment.
Own Deployment Execution: Lead end-to-end project management for physical layer and cable infrastructure rollouts, driving vendor execution from initial planning phases through final testing and handoff.
Manage Physical Infrastructure: Partner closely with internal deployment engineers to oversee the installation of structured cabling (backbone fiber, copper, pathways, and containment), ensuring third-party vendors execute strictly according to engineering designs and timelines.
Drive Cross-Functional Collaboration: Align project goals, key dependencies, and deliverables by working hand-in-hand with our Digital Infrastructure Group (DIG), Site Reliability Engineering (SRE), and external partners.
Build Project Plans & Schedules: Develop, maintain, and manage highly detailed project plans-utilizing Gantt charts and tracking tools-to map critical milestones, track dependencies, and ensure on-time project delivery.
Mitigate Risks: Proactively identify project risks, physical constraints, and resource blockers, establishing robust mitigation strategies to maintain continuous project momentum.
Engage Stakeholders: Deliver clear, concise, and proactive updates regarding project progress, risks, and milestones to engineering, operations, and leadership teams to ensure total organizational alignment.
Continuous Process Improvement: Standardize and optimize deployment methodologies, contributing new processes and documentation to elevate the efficiency of the Cloud Deployment Operations team.

As Vice President of Growth, youll architect and construct the next stage of our growth story, supercharging a marketing engine that drives measurable demand, strengthens brand coherence, and cements us as the global leader in Agentic Care Communications. Youre motivated to turn our objectives into market penetration and marketing-sourced revenue, and boast a track record of success in standing up modern ABM motions within enterprise B2B SaaS. Hands-on. High-impact. Youre a senior marketing executive who balances strategy and execution, storytelling, and systems (including a strong AI-first tech stack). With those lined up, youll oversee persona and segment expansion, campaign creation, brand activation and more- owning both our market presence and the engine that fuels it. Whats more? Youre a highly analytical leader who can evaluate campaign/ channel performance, prioritize budget and resources, and make adaptive, data-driven decisions across multiple teams and stakeholders. If youve led world-class marketing teams-and are energized by the mission of ensuring better access to care for patients across the U.S.-then grab your cape, and join us.

Responsibilities
Own the end-to-end B2B marketing funnel that drives market penetration, pipeline creation, and revenue, tailored to U.S. enterprise healthcare.
Establish a data-driven cadence to guide resource allocation and performance KPIs, determining where to invest with clarity and discipline.
Align outbound, growth, product, content, and event marketing initiatives to overall campaign and GTM objectives, and elevate their reach and impact.
Participate in executive leadership forums; provide data-backed insights on market trends, competitive landscape, and buyer behavior in U.S. healthcare.
Partner cross-functionally (RevOps, Partnerships, Product and Sales) to ensure marketing programs are prioritized to reflect revenue goals, segment strategy, product adoption KPIs, and sales stages and cycles.
Onboard and lead experienced marketing talent while fostering a culture of accountability, experimentation, speed, and high standards.
Stand up an agency and freelancer ecosystem that extends capacity; ensure accountability, establish selection processes, and navigate when to build vs. buy.
Build the analytics infrastructure (CAC, ROAS, pipeline contribution, and channel ROI) and attribution models that inform acquisition spend and growth decisions.
Rearchitect tools (HubSpot, Clay) and acquisition channels with AI workflows in mind, and with human judgment applied at the strategy and quality layer.
Centralize messaging and positioning as part of a new brand operating system.
Launch integrated, ABM campaigns (paid ads, field marketing, influencer marketing, gated content, etc.), optimized for healthcare and complex buying committees.
Act as an influential and experienced partner to creative direction, content creation and distribution, and design, establishing a strong feedback loop for A/B testing.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at our company.
About This Role:
we are the world's first vertically integrated, sustainable AI cloud. We build and operate GPU infrastructure powered by clean energy, from data center design through IaaS products to managed inference at scale, enabling AI-native companies to run demanding workloads without compromising on sustainability or reliability. our company Cloud is 1,400 people and growing, and the TPM frameworks are still being built -- which means there is a genuine opportunity to shape how the function operates rather than inherit how it already works.
The Managed Inference platform is where customers run production LLM workloads without managing low-level infrastructure, and it is one of our company's fastest-growing product areas. The Staff TPM for Managed Intelligence connects model engineering, IaaS, product, and data center operations to deliver a reliable, scalable inference platform. You will own end-to-end program delivery across multi-quarter roadmaps, model onboarding, inference optimization, and production readiness for new model versions. Deep familiarity with the model layer -- including how LLMs are served, optimized, and evaluated in production -- is essential to being effective in this role.
What You'll Be Working On:
End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform.
Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery.
Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked.
Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems.
Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks suited to our company's pace; maintain real-time execution dashboards and deliver crisp, data-driven executive updates.
Phase 0 planning for model onboarding: Own pre-launch planning for model onboarding on new GPU generations, including firmware and driver readiness, CUDA and ROCm stack validation, and commissioning criteria for inference workloads.
Stakeholder leadership: Drive alignment and push back effectively across engineering, product, and operations leadership -- including highly technical stakeholders who have not previously worked with a TPM.

We are looking for an experienced, passionate Backend Engineer to join our growing TLV R&D location. You'll be joining the backend group to help us expand our backend system and add new features to the company's core product.
As a Backend Engineer, you'll play a crucial role in driving the backend architecture and technical strategies that underpin our success. This is a great Opportunity to make a significant impact by driving the technical direction of a high-growth company.
Responsibilities
Build backend system from the ground up.
Design and collaborate with the engineering team to build architecture and system design for new products.
Build internal products and integrate with external APIs.
Play a role in building, expanding, testing and releasing of a product helping thousands happy customers.
Leverage AI coding assistants to boost productivity, while maintaining strict code quality, security, and critical review standards.