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This is a broad, hands-on engineering role.

Youll work directly with the founders and own the most challenging parts of the platform end to end.

The focus is backend and infrastructure, but youll work across the full stack whenever a problem calls for it.

Youll help shape the technical direction, and how engineering works as the team grows.

Responsibilities
Own the Challenging Problems - Take the most complex parts of the platform end to end, from architecture through production.
Shape Architectural Decisions - Help define service boundaries, data models, and technical direction as the platform scales.
Build the Core - Design and ship the systems at the heart of the platform.
Scale the Data Pipeline - Build the ingestion, processing, and orchestration layers that move data through the platform reliably.
Own Infrastructure - Shape deployment, observability, and reliability across cloud infrastructure and Kubernetes.
Build End to End - Work across the full stack when the problem calls for it, including the surfaces your services power.

In this role, you will build and manage integrations with enterprise environments, security platforms, cloud infrastructures, and third-party systems. You will work on complex technical challenges involving APIs, data flows, automation, scalability, and system connectivity.

What you will do

Design, implement, and maintain integrations between multiple products and systems via APIs.

Solve complex data and scalability challenges, ensuring the platform efficiently handles large volumes of data.

Collaborate with cross-functional teams to understand requirements and deliver integration solutions that meet business needs.

Define best practices for data handling, API usage, and integration workflows.

Ensure the integrity, reliability, and performance of integrated systems.

We are looking for a highly analytical, detail-oriented Innovation Expert to join our Open Innovation team. This role is ideal for an individual contributor operating at the intersection of deep tech, the startup ecosystem, and academia, with strong technology analytical skills, clear communication, and a foundational background in computer architecture research.

In this role, you will drive our external innovation strategy by managing academic research collaborations, scouting early-stage deep-tech startups, and conducting technical due diligence.

Key Responsibilities
Academic Cooperation & Research Partnerships: Identify and build direct collaboration agreements with world-class professors, research labs, and universities. Facilitate joint research projects, tech-transfer initiatives, and track academic spin-offs.
Startup Scouting & Ecosystem Mapping: Actively identify, source, and map early-stage deep-tech startups and emerging tech companies globally within the companys strategic domains.
Technical Due Diligence: Evaluate startup technologies, product-market fit, and team capabilities. Analyze technical validity and assess how external innovations align with our internal roadmaps.
Ecosystem Analysis: Conduct deep-dive analyses of startup ecosystems, venture capital trends, and academic spin-offs to identify high-potential investment and collaboration opportunities.
Investment & Collaboration Support: Synthesize technical and commercial findings into clear, structured scouting reports, investment tech memos, and presentations for senior leadership to drive partnership or investment decisions.
Cross-Border Collaboration: Act as a bridge between startup founders, academic innovators, and internal global teams (including European and China-based business units) to facilitate joint POCs, or investment reviews.
Track Tech Domains: AI infrastructure, advanced semiconductors, hardware-software co-design, and AI data movement.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
This is a rare opportunity to take on a truly global leadership role at our company Software Technologies, leading the Services Sales business across all regions and customer segments. You will shape and execute a global strategy, build and scale a high-performing organization, and directly impact the companys growth by positioning services as a core revenue and value driver.
This role offers high visibility, executive engagement, and the chance to define a critical chapter in both the companys evolution and your own career.
Lead a global organization spanning APAC, EMEA, LATAM, and North America
Drive a strategic growth engine by positioning services as a core differentiator
Work closely with executive leadership and influence global business outcomes
Build and scale a world-class team of top-tier talent globally
Engage directly in high-value deals and strategic customer relationships
Operate in a fast-paced, high-growth environment with strong impact and ownership
Your Impact & Responsibilities
Business Leadership
Serve as the executive leader for the global Services Sales business across all regions and customer segments
Lead, develop, and scale a global organization of regional services sales leaders and account teams
Drive consistent over-achievement of bookings and services attach targets
Own end-to-end global services sales strategy, execution, and performance management
Ensure tight alignment with broader corporate and global objectives
Recruit and build a high-performing global team of proven A-players
Strategic Execution & Customer Engagement
Engage directly with key global customers, partners, and prospects
Participate in strategic services pursuits, executive briefings, and high-value deal closures
Build and maintain executive relationships across enterprises, partners, MSSPs, and system integrators
Deliver accurate global forecasting and business updates with clear pipeline visibility
Establish and manage a data-driven global operating rhythm using KPIs and forecasting tools
Drive services attachment to every product and platform deal
models.

We are looking for a hands-on, service-oriented Help Desk Technician to provide fast, effective, and friendly technical support across the organization.
In this role, youll be the first point of contact for IT support, helping employees resolve day-to-day technical issues while delivering a great user experience.
An excellent Help Desk Technician combines strong technical knowledge with clear communication, patience,
and a genuine desire to help. Were looking for someone who takes ownership, thinks proactively, and isnt afraid to go the extra mile to solve problems.
About Us
What's new? EVERYTHING!
We enable enterprises to unlock the full potential of voice. From traditional calling to next-generation conversational AI, we transform communication into a powerful, strategic differentiator.
With proven voice leadership and advanced AI capabilities, we help global organizations deploy voice solutions that work reliably at scale, integrate seamlessly with existing systems, and deliver measurable business impact.
Fueled by a culture built on innovation, collaboration, and trust, we don't just push boundaries - we break them.
We turn the unimaginable into real, scalable solutions that keep organizations ahead, connected, and ready for whatever comes next.
Your mission:
Provide first-line technical support for end users (on-site, phone, and remote).
Diagnose and resolve basic hardware, software, and system issues.
Support laptops, workstations, peripherals, and office equipment.
Manage user accounts, permissions, and access using Active Directory.
Support and troubleshoot Microsoft Office 365 applications.
Install, configure, repair, replace, and reinstall hardware components as needed.
Identify and address both software and hardware issues, including antivirus-related topics.
Document issues, solutions, and procedures clearly.
Deliver service with a customer-first mindset, suggesting alternative solutions when appropriate and taking ownership.

You will be part of the DevEx team which is in charge of significantly improving the productivity, efficiency, and satisfaction of developers across the organization. You will take a leading role in the team, build easy-to-use platforms, lead wide-impact projects, mentor team members, developers and keep innovating with new tools, workflows, deep dives and adHoc POCs. This role requires a blend of deep hands-on technical expertise, strategic vision and mentoring skills to drive the team to excellence in a culture of developer-centric workplace.



Key Responsibilities:

Lead Initiatives: Own the design and delivery of high-impact developer platforms, CI/CD evolution, AI tooling and more, from ideation through production rollout and adoption.
Drive Excellence: Set a high bar for system design, code quality, scalability, and reliability across platforms. Act as the go-to expert for complex technical challenges.
Hands-on: Design and build scalable, self-service developer platforms, with strong focus on usability, performance, observability and cost efficiency.
Mentorship and Guidance: Mentor engineers through design reviews, pair programming and knowledge sharing. Elevate the technical capabilities of the team.
Cross-Team Focal Point: Collaborate closely with stakeholders and infra teams to influence architecture, improve client experience and ensure solutions are widely adopted.
Lead by Example: Demonstrate strong ownership, execution speed and high-quality delivery standards in day-to-day work.

Required Researcher
Description
We are a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results.
Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient.
We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short.
In a world increasingly dominated by learning machines and artificial intelligence, we are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being.
Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on our financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize our Algorithms.

Join Talk and lead the product strategy for our Enterprise Conversational AI platform. Youll own products across AI Voice Agents, Chat Agents, Live Agent Assist, Conversation Intelligence, and Real-Time Translation.
Youll work closely with enterprise customers and engineering teams to define, build, and scale AI products that improve customer experience across voice, chat, and digital channels.
Key Responsibilities:
Own the product lifecycle from discovery to production.
Define product vision, roadmap, and priorities.
Gather customer requirements and translate them into technical specifications.
Work closely with engineering teams on AI workflows, prompt design, RAG, and agent orchestration.
Define product KPIs, success metrics, and analytics.
Analyze user behavior, product adoption, and customer journeys using analytics tools.
Drive UX improvements across Voice AI and Conversational AI products.
Prioritize features based on customer value, business impact, and engineering effort.
Collaborate with Sales, Customer Success, Marketing, and R&D throughout the product lifecycle.

We're looking for a VP R&D to build both the technical foundation and the engineering organization behind that platform. This is not pure people management, and it's not a chief-architect role in disguise. It's a rare combination: a deeply technical leader who can challenge the strongest engineer in the room on architecture, and who also builds an organization where talented people grow, decide independently, and own outcomes end to end.



What You'll Own

Technical direction: Define architecture and technical strategy with the CTO, Product and AI leadership. Make real tradeoffs between speed, simplicity, reliability and long-term scale. Stay deep enough to lead architecture reviews, surface hidden risks, and tell the difference between an impressive demo and a dependable production system.
An enterprise-grade agentic platform: Agent orchestration, planning and tool use governed knowledge and policy representation retrieval, context and memory evaluations human review and escalation permissions, identity, security and auditability reliability and observability cost, latency and model performance enterprise integrations.
The R&D organization: Design the structure for the company's next stage. Recruit exceptional engineers and engineering leaders at a consistently high bar. Grow managers and senior ICs who own major domains independently. Set clear expectations, feedback and performance standards - and build a leadership bench so the org doesn't depend on a handful of people.
Autonomy with accountability: Define outcomes, decision boundaries and interfaces, then push decisions as close to the problem as possible. Autonomy that produces better and faster decisions - not ambiguity, duplicated work, or diffused responsibility.
Velocity and quality together: An operating model that moves fast without normalizing instability. Better planning, testing, deployment, observability and incident learning. AI-native development as real leverage for every engineer, with clear standards for security, correctness and human judgment.
Business impact: Shape the roadmap with Product rather than receiving requirements. Join strategic customer conversations where technical leadership builds trust and unblocks adoption. Operate as a company leader, not only a function leader.

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:
As Business Development, Technical Partner, you will serve as the end-to-end dealmaker at the intersection of datacenter construction, infrastructure finance, and AI compute demand. This is not a traditional sales role - you are the single owner of complex, multi-stakeholder opportunities spanning site selection, build financing, and capacity commercialization. By building deep relationships with datacenter developers, colocation operators, financial partners, and government stakeholders, you will architect deals that directly shape our company's physical infrastructure footprint and long-term commercial trajectory.
The ideal candidate combines hands-on knowledge of how datacenters are built and financed - power procurement, shell construction, critical systems fit-out - with the financial structuring fluency of a leading investment bank or infrastructure-focused private equity firm. You understand the full development lifecycle, from greenfield site evaluation through energization, and know how to structure the commercial and financial frameworks that make large-scale builds viable.
What You'll Be Working On:
Datacenter Development & Co-location Sourcing: Lead the identification, evaluation, and negotiation of datacenter opportunities - both ground-up builds and colocation arrangements. Assess sites across key technical dimensions: power availability and utility interconnection timelines, critical load capacity, cooling infrastructure, fiber access, and physical security. Own key deal metrics including all-in cost per MW, construction schedules, and long-term capacity optionality.
Financial Structuring & Deal Architecture: Structure complex agreements with datacenter developers and colocation partners, including backstop mechanisms, capacity reservation frameworks, and construction-phase financing arrangements.
Business Development & Customer Relationships: Build and own a portfolio of enterprise customer relationships across the AI developer ecosystem. Translate customer compute requirements - cluster scale, networking topology, power density per rack - into site-level specifications that inform development decisions. Partner closely with Account Executives to drive opportunities from origination through close.
Government & Regulatory Relationships: Cultivate and maintain strategic relationships with Israeli government stakeholders.

What You'll Do
- Build and evolve the Workflow Builder, Tables, and App Maker UIs - visual, drag-and-drop, real-time, collaborative.
- Design and ship the Gini AI Worker dashboards - run visualization, step traces, approvals, cost tracking.
- Own performance - sub-second interactions, optimistic updates, virtualized lists, edge-first rendering.
- Partner tightly with design + product on component systems, accessibility, and motion.
- Contribute to our design system - reusable, themable, keyboard-first.

Required Micro-Architect
Description
A global leader in control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of the company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers.
Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Join our cutting-edge hardware development team as Micro-Architect and play a key role in defining and implementing the micro-architecture of advanced digital logic components.
What You'll Do:
Define and develop micro-architecture for complex logic blocks - from concept through high-quality RTL implementation
Collaborate closely with architecture, verification, design and software design teams
Write clear and detailed design specifications and drive architectural trade-off analysis
Optimize for performance and area
Contribute to innovation, methodology improvements, and technical leadership within the team.

We are seeking an agile, hands-on R&D Lead who excels at rapid learning and making smart, pragmatic decisions to drive our core data engineering squad in Tel Aviv. We care less about years spent in formal management or having a decades-long resume, and much more about your ability to take extreme ownership, learn new paradigms on the fly, and keep the team moving forward.


In this role, you will help architect, write, and deploy the Python-based infrastructure that processes millions of records daily and serves them at sub-second latency to autonomous AI systems. You will guide the design of high-scale data pipelines, integrate semantic search paradigms, and build out our agentic connectivity layer. If you are a proactive decision-maker who thrives on optimizing complex systems and wants to build the infrastructure that LLMs rely on to understand the real world, this is your next role.


Key responsibilities
Execution & Decisive Leadership: Lead the technical delivery by setting the pace and making pragmatic architectural choices that keep the team moving forward. You prioritize shipping and iterating over analysis paralysis.
Hands-On Development (Python): Roll up your sleeves and remain technical. Write clean, concurrent, and scalable Python code to handle data ingestion, transformation, and serving pipelines.
Continuous Learning & Tech Agility: Work across a polyglot environment. You dont need to know every tool on day one, but you must be eager to rapidly evaluate, learn, and adopt the optimal databases, message brokers, and execution frameworks to manage technical debt.
Agentic Infrastructure & MCP: Deploy systems that allow autonomous agents to seamlessly query our datasets. You will help build and scale our Model Context Protocol (MCP) servers, translating LLM intents into highly optimized database queries.
High-Scale Data Pipelines: Oversee an end-to-end data architecture capable of supporting continuous ingestion, error cleansing, and near-real-time refreshing of a 1B+ record database while enforcing GDPR and CCPA compliance.
Search & Retrieval Integration: Design and optimize advanced search capabilities, leveraging vector databases, embeddings, and hybrid search techniques to ensure absolute precision when AI models query our data.