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Required Talent Sourcing Partner
About The Position:
A next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. We're in a period of significant growth - and every person we bring in changes the trajectory of the company.
Sourcing, done right, is one of the most powerful levers in a talent team.
Not because of the pipeline numbers. Because of the people - the ones you find before anyone else does, the ones who weren't looking until you reached out, the ones who change everything once they're in the room.
We're not looking for someone to send bulk messages on LinkedIn. We're looking for a sourcing strategist - someone who thinks creatively, uses AI and data to go where others don't, and genuinely cares about the quality of talent we bring into.
You'll work across a wide variety of roles - R&D, product, business, and beyond - and you'll be a true partner to our recruiters and hiring managers. You'll also help shape how the world sees us as a place to work. This is a role with real visibility, real ownership, and real impact.
What We're Looking For;
Own the sourcing strategy- build pipelines for diverse roles across R&D, Product, Sales, and more. Go beyond job boards and LinkedIn; find talent others miss.
Be the intelligence layer - use data, market mapping, and competitive insights to inform where we should be looking and who we should be targeting.
Partner with hiring managers and recruiters - understand each role deeply, not just the title. Know what "great" looks like for every search.
Challenge the way sourcing is done - bring AI tools, automation, and unconventional approaches to outreach and pipeline building.
Drive employer branding initiatives - create content, build presence, and represent us authentically in the talent market.
Create candidate experiences worth remembering - every first touchpoint matters, and you'll make it count.
Continuously improve - track what's working, report on pipeline health, and iterate fast when something isn't.

We are We are seeking a Senior Switch Silicon Security Architect to define end-to-end security across switch silicon, firmware, networking protocols, and management stacks. Working with architecture, engineering, and product teams, this role will shape security from early design through validation, manufacturing, and deployment.

What you'll be doing:

Research, design, and drive the implementation of hardware and software security architectures for switch platforms that meet internal requirements, customer needs, and industry standards.

Develop threat models and define end-to-end security architectures for hyperscale networking solutions spanning silicon, firmware, high-performance networking protocols, and management stacks.

Partner across us with hardware, software, research, and product teams to shape the strategic direction of switch silicon and fabric-level security.

Define and drive multi-generation security roadmaps for switch silicon, networking protocols, and fabric-level solutions.

Engage directly with customers to understand their security requirements and translate them into switch silicon and system architectures that address both component and solution-level needs.

Represent us in industry standards bodies and collaborate with external partners to shape emerging security standards and drive interoperability across silicon and networking ecosystems.

We're looking for a Talent Acquisition Partner, an experienced, full-cycle recruiter who works differently than most. You don't rely on job boards and cold outreach alone. You've built a real, personal network over the course of your career: people who know you, trust you, and pick up when you call. You bring candidates a level of care and attention that feels more like a trusted advisor than a transactional recruiter. You listen, you follow up, you make people feel genuinely looked after throughout the process.
This role exists because we believe that kind of relationship-driven recruiting, deep networks and high-touch candidate experience, is something we can build inside our own team, instead of outsourcing it to external agencies or headhunters.
What You'll Do:
Own full-cycle recruiting for roles across the organization (R&D and beyond): sourcing, screening, interview process management, and closing.
Source proactively across various platforms and tools, blending modern AI-assisted sourcing with your own network and direct outreach.
Lead with relationships: reach candidates through your own professional network, not just inbound applications or cold sourcing.
Give every candidate a high-touch, closely-managed experience: clear communication, real attention, and a process that reflects well on us.
Fully unlock our internal potential: referrals, employee networks, and every internal connection we have, as a real, ongoing source of talent, not an afterthought.
Collaborate closely with recruiters across Israel, EMEA, and APJ, and stay aligned with team goals and standards.

We are seeking a sharp, innovative, and hands-on Architect to help shape the future of LLM inference at scale. Join our dynamic E2E Architecture group, where we build ground breaking systems powering the next generation of generative AI workloads. In this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most sophisticated GPU clusters in the world. Youll help define how AI models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system-level optimizations. This is an opportunity to work with top engineers, researchers, and partners across us and leave a mark on the way generative AI reaches real-world applications.

What Youll Be Doing:

Design and evolve scalable architectures for multi-node LLM inference across GPU clusters.

Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.

Collaborate with model, systems, compiler, and networking teams to ensure complete, high-performance solutions.

Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching.

Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration.

Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.

Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.

We're looking for a Growth Marketing Manager to conduct the entire growth orchestra: paid acquisition, landing pages, experimentation, SEO and LLM visibility, partners and vendors. You'll own the full funnel from first impression to qualified pipeline, and you'll own the number.
This is a hands-on, high-ownership role. You won't hand off briefs and wait - youll build the page, launch the test, read the data, and kill what doesn't work. You'll report to the Head of Growth and work day-to-day with Content, Product Marketing, Design, Sales, and RevOps. It's an individual contributor role today with a clear path to building a team as the function scales.
We work AI-natively. We expect you to reach for AI tools by default - to research, build, analyze, and ship at a pace that would have needed a team of five two years ago.
What You'll Do:
Own paid acquisition end to end.
Plan, launch, and optimize Google Ads and LinkedIn Ads - targeting, creative, bidding, budget allocation - against pipeline and CAC targets, not clicks. Open new channels as we grow.
Own the conversion path.
Partner with Content Marketing and Design to build landing pages and campaign assets, then run a continuous A/B testing program on messaging, layout, offers, and forms to move conversion rate.
Run growth as an experiment engine.
Build a testing roadmap, prioritize by expected impact, run clean experiments, and turn results into decisions the whole team can act on.
Own organic and AI visibility.
Drive technical and content SEO alongside LLM citation optimization- making sure we show up when security engineers and CISOs ask AI assistants about cloud security.
Manage partners and vendors.
Agencies, review sites, syndication, co-marketing, events - hold them to clear KPIs and make each one earn its budget.
Build the AI-native marketing stack.
Use AI tools across research, creative production, analysis, and automation to compress cycle times and scale output without scaling headcount.
Report on what matters
. Build the reporting that connects spend to pipeline to revenue, and bring a clear point of view on where the next dollar should go.
Work like a seller.
Sit close to Sales, understand the buyer and the deal cycle, and optimize for pipeline quality - not lead volume.