לוח משרות דרושים, לחיפוש זה נמצאו 35,696 משרות

We are a fast growing cybersecurity startup redefining how organizations defend themselves. As attackers leverage AI for high speed strikes, we provide defenders with the same capabilities. Our platform creates an AI driven Autonomous Attacker that thinks like a hacker, generating end to end attack chains across Web, Cloud, and AI applications to prioritize mitigation where it matters. Founded a year and a half ago, weve moved at lightning speed raising a Seed from CyberStarts and a Series A from Lightspeed. With offices in Tel Aviv and New York, we maintain a high transparency, low ego environment where exceptional individuals have the autonomy to make a massive impact on a category defining product.
We are looking for a Senior Software Engineer to help build the core engine and platform behind our autonomous attacker. In this role, you will bridge the gap between cutting edge AI and advanced security operations, designing secure, high performance applications and turning complex data into intuitive product experiences.
What Youll Do
Design and develop responsive, high performance web applications and secure APIs/micro services.
Build sophisticated dashboards to present complex security data and AI driven insights clearly and intuitively.
Seamlessly integrate AI/ML models into user-facing applications and develop interfaces for complex security operations.
Work closely with Security Researchers and Product stakeholders to translate complex requirements into elegant technical solutions.
Ensure top tier application security, performance optimization, and scalability across the entire stack.

We are looking for a Sr. Director Sales Engineering to lead and scale our global presales activities, acting as a strategic partner to the Sales organization and a key driver of revenue growth. This is a high-impact leadership role for an experienced professional who combines deep technical expertise, strong business acumen, and exceptional stakeholder management skills.

As a Sr. Director Sales Engineering, you will build and lead a high-performing team, shape solution strategy, and play a critical role in winning complex deals by aligning customer needs with our innovative solutions.

You will:
Lead, mentor, and scale a high-performing Sales Engineering/ Presales team, fostering a culture of excellence, accountability, and continuous development.
Act as a strategic partner to the GM Sales, supporting go-to-market strategy and driving revenue growth across key markets.
Own the end-to-end presales engagement in complex sales cycles, ensuring strong technical positioning and differentiation of Cognytes solutions.
Drive customer-centric solution design by deeply understanding customer challenges and translating them into compelling value propositions.
Lead and support high-stakes customer engagements, including executive presentations, demos, and proof of concepts (POCs).
Collaborate cross-functionally with Product, R&D, Marketing, and Delivery teams to align offerings with market needs and customer feedback.
Shape and standardize presales methodologies, tools, and best practices to improve efficiency, scalability, and win rates.
Provide market insights and competitive intelligence to influence product strategy and positioning.
Play a key role in strategic deals, supporting negotiations and ensuring technical and business alignment with customer requirements.

You are joining a small engineering team that is already shipping a live platform, and you will lead it. You own the architecture and set the technical direction as we scale from a working product to the system hospitals run their AI operations on: the connectors that read from the AI a hospital has deployed, the auditable record on top, and the monitoring the platform is growing into.
What you'll own
The architecture and hands-on build across the full stack, and the technical direction as the platform scales.
The connectors that read from hospital environments, the auditable AI record on top, and the roadmap into drift and performance monitoring.
The engineering foundations: code review, testing, CI/CD, and the security posture a hospital will interrogate.
Leading and growing the team, and owning the hiring bar.

A senior, hands-on engineer joining a small team that is already shipping a live platform. You own whole features end to end, from a rough problem to something running in production that a hospital relies on. You will not wait for a spec, and you help set the bar for how we build as we grow.
What you'll own
Whole feature verticals across frontend, backend, data, and cloud: the auditable AI record, the workflows around it, and the ingestion behind them.
The reliability of what you ship, including incidents on your own code.
Local architecture and tooling calls, made without escalating everything.
The engineering-quality bar a small team compounds on: review, testing, and the habits later hires inherit.

You turn what the founders and customers know into what engineering builds. As our first product hire, you own the roadmap, the specs, and the loop between design partners and the team, so product definition stops being a bottleneck. You partner closely with our clinical co-founder, and translate messy hospital reality into a product engineers can build without guessing.
What you'll own
The roadmap and the specs: what we build next, why, and what "done" means, grounded in design-partner reality.
The loop: sit in customer conversations, turn friction into clear requirements, and keep engineering unblocked.
Prioritization and tradeoffs across the inventory and audit-readiness wedge and the monitoring roadmap.
The product's coherence as it grows from a service-led motion into software.

Youll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!

Youll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.

These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.

You will:
Research and develop advanced algorithms for signal processing and communication systems.
Design and implement communication protocols and direction-finding (DF) algorithms using MATLAB, Python, and C/C++.
Translate theoretical concepts into real-world solutions, from initial prototype to field-tested, production-ready systems.
Stay ahead of the curve by reviewing and applying the latest academic and industry research.
Collaborate with multidisciplinary teams to integrate your work into innovative intelligence platforms.

What You'll Do
- Own end-to-end design - research, flows, wireframes, hi-fi, prototypes, handoff, QA.
- Evolve the company design system - components, tokens, patterns, motion.
- Design the AI-Worker experience - plans, steps, approvals, explainability, error states, trust signals.
- Run usability testing with real customers (operators, not designers).
- Partner daily with PMs and engineers; push back when the tradeoff is wrong.
- Contribute to brand and marketing surfaces when needed.

Youll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!

Youll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.

These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.

As a Cognyter you will:

Work with product management functions, global marketing, and sales to build the narrative and value proposition of our products.
Create compelling marketing content and sales enablement collateral.
Develop and implement GTM strategies and demand generation activities.
Work closely with business stakeholders to maximize the business potential of existing and new customers.
Assist with competitive analysis and market research.
Join strategic marketing workshops, international events, and customer meetings.
Lead cross-functional initiatives and drive alignment across Product, Sales, Marketing, and business stakeholders.
Balance strategic planning with hands-on execution, taking ownership from concept to delivery.
Help shape and scale Product Marketing best practices, processes, and methodologies across the organization.
Serve as a trusted advisor to senior stakeholders and influence business decisions through market, customer, and competitive insights.
You will report to the VP of Product and be part of an industry-leading Product Management team (30+ people strong).

What You'll Do
- Build and harden AI Workers for real enterprise workflows - procurement, finance, HR, sales, risk, integration.
- Own the MCP connector framework - reusable tool servers that power every AI Worker.
- Design multi-step agentic flows with planning, reflection, retries, approvals, and clean failure modes.
- Ship evaluation suites that catch regressions before customers do.
- Instrument cost, latency, and reliability; drive them down relentlessly.
- Partner with Product and Solutions to ship features that survive contact with enterprise reality.

What You'll Do
- Architect complex multi-system automations - OCR pipelines, Priority ↔ Salesforce sync, multi-carrier shipping, e-commerce ↔ ERP invoicing, reconciliation flows.
- Lead technical scoping for large Professional Services engagements.
- Build reusable process blueprints (we already have 116; you'll add the next 30).
- Troubleshoot the hardest production incidents - data, timing, auth, edge-cases in legacy systems.
- Mentor the PS team; review workflow designs; raise the architectural bar.
- Close the loop with Product on connector gaps, platform limitations, and feature requests.

We are looking for a proactive and detail-oriented Support Specialist to help improve the effectiveness, consistency, and quality of our global support organization.

The role will focus on support process ownership, quality reviews, operational follow-up, and continuous improvement initiatives. Working closely with support managers and team leaders, this position will help ensure that support standards are consistently applied, improvement actions are executed, and customer-facing operations continue to evolve and improve.

You will:
Lead complex pre-sales engagements from opportunity qualification through project award.
Design innovative solutions leveraging our intelligence analytics, SIGINT, cyber, AI, telecommunications, big data, and cloud portfolio.
Build trusted relationships with customer technical and executive stakeholders.
Lead cross-functional teams across Sales, Product Management, R&D, Project Management, and Finance.
Drive high-quality proposals, RFP/RFI responses, technical presentations, and business cases.
Present and influence decision-makers at both technical and executive levels.
Continuously expand your expertise and contribute knowledge back to the organization.

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.

What You'll Do
- Design and ship the ML backbone of Gini AI Workers - routing, tool selection, reasoning, memory, evaluation.
- Build evaluation and feedback loops - offline evals, online A/B, regression harnesses, human-in-the-loop labeling pipelines.
- Optimize cost and latency across the agent stack: prompt engineering, model routing (frontier ↔ small ↔ fine-tuned), caching, speculative decoding, distillation.
- Fine-tune and/or RAG-tune models for vertical enterprise tasks (invoice extraction, PO matching, ticket triage, forecasting).
- Own the ML infra - training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection.
- Partner with backend + product to turn research into shipped features on a weekly cadence.

What You'll Do
- Own end-to-end solution design for enterprise deals - from first discovery call to signed SOW to production handoff.
- Lead technical discovery with CIOs, CTOs, and IT leads. Map their current stack (Priority / SAP / NetSuite / Salesforce / custom) and design the company blueprint.
- Architect multi-system integrations - ERP ↔ CRM ↔ e-commerce ↔ shipping ↔ AI Workers - using our company's MCP-native connector framework.
- Run live technical demos and POCs that prove value in days, not months.
- Partner with Sales on pricing, scoping, and risk assessment; be the "technical closer" on 6-7 figure deals.
- Partner with Product - bring real-world field signals back and influence the roadmap.
- Mentor the Professional Services team on architectural patterns and reusable process blueprints.

The Purchasing Account Manager will be responsible for commercial ownership and performance of hardware suppliers and EMS (Electronics Manufacturing Services) subcontractors, supporting end‑to‑end manufacturing (PCBA, mechanics, cabling, system integration).

You will:
Own the commercial relationship with EMS subcontractors and HW suppliers, including pricing, contracts, and ongoing governance.
Lead EMS supplier strategy, selection, and commercial engagement across PCBA, system integration, and full build-to-print (BTP) scope.
Drive cost optimization, pricing models, and total cost of ownership (TCO) across EMS and HW categories.
Manage supplier performance (cost, quality, delivery), with focus on EMS operational KPIs and service levels.
Support production ramp-up and resolve EMS-related supply, capacity, and execution issues.
Lead escalations and mitigate risks (capacity constraints, BCP, compliance) within EMS ecosystem.
Collaborate closely with R&D, Operations, QA, and Supply Chain on EMS manufacturing readiness and execution.