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Requirements:
You've shipped agentic systems to production - real orchestration, tool use, structured outputs, and the failure modes that only appear at scale. Not "I've called an LLM API."
You've built the evaluation discipline, not just consumed it: trajectory tests, golden datasets, regression gates, offline replay. "It seems better" is not a metric, and you have opinions about what is.
Deep backend and distributed-systems engineering. Strong Python, and comfort with workflow orchestration (Temporal or equivalent), streaming, and cloud-native infrastructure. Agent platforms are systems problems wearing an AI hat.
Fluency across the modern agent stack - LangChain/LangGraph-style frameworks, multi-provider routing, structured output contracts, prompt and context engineering - with the judgment to know which parts are load-bearing and which are fashion.
Security literacy. Enough to reason about whether an agent's security output can be trusted, and to argue with researchers on the merits. You don't need to be a vulnerability researcher.
Influence without authority. You'll change how three teams work with no one reporting to you. Show us where you've done that.
Advantage: experience with AI/LLM security - red-teaming agents, prompt injection, or agentic attack patterns.
Advantage: background in cybersecurity, detection engineering, or WAF/mitigation systems.
Advantage: you've driven AI adoption across a whole company, not only an engineering org.

Requirements:
Requirements & Qualifications:

Leadership Experience: 2+ years of experience leading technical teams (architects, DevOps, or engineering squads), including mentoring, task prioritization, and delivery accountability - ideally in a professional services or consulting environment.

Communication & Presentation: Outstanding verbal and written communication skills in English & Hebrew. Proven ability to conduct discovery calls and articulate sophisticated technical concepts to both engineering teams and non-technical business executives, and to represent the company at a senior level.

Cloud Platform Expertise: 5+ years of proven experience architecting, deploying, and managing complex production workloads on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS), with deep knowledge of their core services (compute, storage, networking, databases).

Core Technical Foundations: Strong foundational knowledge of operating systems (Linux/Windows), virtualization environments, database architectures (SQL/NoSQL), and proficiency in scripting languages (such as Python and Bash) for automation and troubleshooting.

Modernization & Serverless Mastery: Practical experience implementing containerized solutions (Docker, Kubernetes/GKE/EKS) and serverless technologies (Cloud Run, AWS Fargate, ECS, Lambda, Cloud Run Functions).

Hands-On DevOps & IaC: Strong, hands-on background in DevOps practices. Expert-level knowledge of Infrastructure as Code (IaC) tools - specifically Terraform - along with deep experience in CI/CD pipeline construction.

Migration Experience: Proven track record of guiding enterprise migrations (re-hosting, re-platforming, and refactoring), particularly On-Prem to Cloud or cloud-to-cloud migrations (such as AWS to GCP).

Client-Facing Professionalism: A consultative, customer-centric mindset with strong analytical, scoping, and problem-solving abilities, and the maturity to own decisions independently under broad executive guidance.

AI/ML Familiarity: An understanding of the modern AI landscape, with the ability to identify opportunities where Generative AI can drive value for clients.

Education: Bachelor degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Preferred Advantages
Multi-Cloud experience: Hands-on architectural and deployment experience with both GCP and AWS.
Prior experience as a Team Leader, Delivery Lead, or Principal Architect in a cloud consulting / MSP / professional services company.
One of the following Professional-level cloud certifications:
- Google Cloud Professional Cloud Architect
- AWS Certified Solutions Architect - Professional
Deep expertise in FinOps methodologies and cloud cost allocation tools.

Requirements:
Experience
6 years of B2B marketing experience in technology companies.
3+ years in a senior leadershiprole, reporting to a CEO
Proven hands-on ownership of campaigns, messaging, and pipeline metrics - not just oversight.
Demonstrated ownership of an annual marketing budget.
Track record of contributing materially to pipeline and revenue targets.
Domain and GTM Expertise
4+ years background in SaaS, software infrastructure, developer tools, cloud, open-source, or platform businesses.
Hands-on experience with B2B, PLG, and PLS motions.
Strong preference for candidates with an engineering background or significant experience at a company that sells to developers or technical buyers.
Experience marketing to enterprise buyers, technical decision-makers, and product companies.
Brand and Category Leadership
5+ years leading brand strategy, positioning, and narrative development.
Demonstrated experience in category creation or category leadership, including PR, analyst relations, and executive thought leadership.
Track record of building brand equity that measurably impacts pipeline, deal velocity, or win rates.
Demand Generation
3+ years owning demand generation in B2B environments.
Hands-on experience building and operating multiple demand engines (partners, field marketing, warm demand, organic, paid).
Proven ability to generate predictable, qualified pipeline and reduce dependency on founder-led or opportunistic sales.
Experience managing demand efficiency metrics (SQLs, CAC, payback, pipeline contribution).
Product Marketing
3+ years of product marketing experience in B2B technology companies.
3+ years of experience in PLG and PLS motions
Ownership of messaging, positioning, sales enablement, and proof assets - with ability to produce them directly.
Demonstrated impact on conversion rates, win rates, and pipeline velocity.
Experience translating complex technical products into clear, credible commercial value.
Leadership and Operating Skills
Strong strategic thinking combined with execution discipline and a bias for getting things done hands-on.
Comfortable being the most senior marketer in a growth-stage environment.
Native-level English required.
Experience working in a multicultural environment.

Requirements:
Strong technical background - degree or equivalent experience in Algorithms, Data Science, Machine Learning, Computer Science, or AI research - a must
experience in Algorithms, Data Science, Machine Learning or AI research
Sharp technical skills and the ability to engage substantively with researchers on model architectures, training, evaluation, and pipelines
Strong product mindset - relentlessly focused on the "why," with customers and business value at the center of every decision
Strong drive to learn, grow, and develop - autodidact mindset is essential
Product management experience is not required; technical depth, curiosity, customer obsession, and judgment matter more
Passion for the field of visual Generative AI - a big advantage
Strong visual creative skills and a sharp eye for visual quality - a big advantage
Proactive, independent, and motivated problem solver
Excellent communication and interpersonal abilities - comfortable translating complex AI concepts
Excellent organizational skills, attention to detail, and the ability to prioritize effectively
Comfort in a fast-paced, dynamic environment; adept at multitasking and meeting deadlines
Adaptability and flexibility
A team player with self-motivation and independence

Requirements:
5+ years of software engineering experience
Strong React, TypeScript, and Python skills
Experience building complex AI agent systems
Familiarity with LangChain, MCP, Tool Calling, and agent orchestration
Experience working with frontier AI models and APIs
Proficient with modern AI development tools such as Cursor, Claude Code, or Codex
Strong product mindset and ability to move quickly

Requirements:
Requirements:
At least 3 years of product management experience at a fintech company/bank/ financial institution.
Ability to work independently.
Strong analytical and problem-solving skills, driving for actionable insights and data-driven culture.
The role may be hybrid or fully remote.

Preferred Qualifications:
Experience in underwriting small businesses/consumers in the US is a significant advantage.
Knowledge and experience in global trade finance tools and structures.

Requirements:
10+ years of experience in Presales / Solutions Engineering/solution sales architect.
5+ years in a Solution Engineering global leadership role- Must
Proven track record of supporting and winning complex, high-value deals in a B2G and/or enterprise SaaS/software environment.
Strong technical background with the ability to translate complex solutions into clear business value.
Experience working closely with Sales leadership and influencing go-to-market strategies.
Demonstrated ability to build, lead, and scale high-performing global or regional presales teams, in complex and matrix environments.
Excellent communication and presentation skills, with experience engaging senior stakeholders and C-level executives.
Strong business acumen with a deep understanding of sales processes, customer journeys, and deal dynamics.
A proactive self-starter with a strong can-do attitude, high level of ownership, and ability to operate independently in a fast-paced environment.
Experience in data analytics, intelligence solutions, or related domains - an advantage.
Willingness to travel as required.

Requirements:
M.Sc. in Electrical Engineering - PhD advantage.
7+ years of algorithm development experience with Matlab, Python and C/C++.
Experience in algorithm development for production - must, signal processing and communication algorithms - big advantage.
Knowledge of satellite communication - advantage.

Requirements:
What Makes You Successful:

You combine technical excellence, commercial thinking, and leadership capability.

Technical Expertise:
Experience in one or more of the following domains: SIGINT, telecommunications, cybersecurity, intelligence systems, RF technologies, big data, analytics, WEBINT, data fusion, AI/ML, cloud, or enterprise software platforms.

Business & Leadership Skills:
Strong customer and commercial orientation.
Ability to architect innovative and commercially viable solutions.
Proven ability to lead without authority and drive cross-functional initiatives.
Excellent project management and organizational skills.
Ability to solve complex problems.

Communication Skills:
Native-level English proficiency, written and verbal.
Exceptional writing, presentation, and storytelling capabilities.
Ability to communicate effectively with customers, internal stakeholders, executives, and senior management.

Preferred Qualifications:
Experience in presales, solution architecture, consulting, system engineering, product management, or customer-facing technical leadership roles.
Experience leading complex RFI/RFP submissions.
Experience working with intelligence, defense, government, telecommunications, cybersecurity, or enterprise customers.
B.Sc. in Computer Science, Electrical Engineering, Information Systems, Telecommunications, or related field.

Requirements:
3+ years of Product Management experience in a software, SaaS, or technology-driven environment, preferably in a startup or high-growth company.
Strong understanding of product management principles, prioritization methodologies, and the end-to-end product lifecycle.
Proven ability to translate business needs into clear product requirements and make data-driven decisions.
Experience working closely with engineering teams in Agile/Scrum environments and facilitating cross-functional collaboration.
Excellent stakeholder management, communication, and presentation skills, with the ability to influence without formal authority.
Business-oriented mindset with strong customer focus, commercial awareness, and the ability to thrive in a fast-paced, evolving environment.

Requirements:
5+ years experience as presale/solution engineer in a global technology company.
Proven experience in selling software solutions to organizations in the law enforcement, intelligence, defense or national security domains.
Familiarity with multi‑source data fusion and analytics platforms, including exposure to investigative workflows and AI or machine‑learning driven analytics.
Ability to work independently as customers technical/presale key focal point, while promoting company goals.
A proficient public speaker with the ability to deliver the message clearly to a technical audience and C-level executives alike.
The position requires frequent travel (up to 25% of the time).
Excellent English communication and presentation skills. Other languages - French, Russian, Spanish - big advantage.
Previous experience as an analyst, investigator, or operational intelligence user - big advantage.