לוח משרות דרושים הייטק AI משרה מלאה

Were looking for a visionary, technically grounded, hands-on practitioner to help us explore, shape, and represent the future of AI agent trust. You will develop a deep understanding of how autonomous and agentic systems are built and used in the real world, and help internal teams and the broader ecosystem reason about how agents can be trusted, governed, and safely deployed.

You will report to the CPO, work closely with the CTO, and partner across product, engineering, research and data teams. This role sits at the intersection of emerging agent technologies, product strategy, hands-on technical exploration, and external thought leadership.

What Youll Do:

Research & Ecosystem Insight

Stay current on agentic systems and autonomous architectures, with a focus on how agentic interactions are enabled across the open web.
Analyze how AI agents are designed, deployed, and integrated across industries and use cases.
Track trends, standards, and shifts in agent architectures, behaviors, and interaction patterns.
Develop models and approaches to profile, classify, and assess agentic interactions.
Technical Exploration & Prototyping

Build lightweight prototypes or proofs-of-concept to validate ideas and assumptions.
Evaluate third-party frameworks, tools, and integration approaches.
Translate emerging concepts into clear technical direction, architectures, or requirements.
Product Enablement

Advise product teams as they explore and productize agent-trust solutions.
Help reason about agent behavior, system boundaries, reliability, and safe operation.
Act as a bridge between research, product, engineering, and data.
Thought Leadership

Represent the company on topics related to AI agents, autonomy, and trust.
Contribute to blogs, whitepapers, talks, or industry discussions that shape how the market thinks about agentic systems.
Engage with partners, customers, and the broader ecosystem to share insights and learn from real-world feedback.
Help position the company as a credible, forward-looking voice in AI-agent trust.
Communication & Collaboration

Communicate complex ideas clearly through documentation, presentations, and discussions.
Build shared language and understanding around agentic systems across the organization.
Collaborate effectively in a fast-moving, cross-functional environment.

we are looking for an experienced, skilled, and innovative Head of Business & AI Applications to lead our team of BA managers. As our head of BAA, you will be the owner of our companys multitude of business applications and processes, working with all our business units, including Sales, Marketing, CS, Support and Finance. You will also be working with the Product and R&D departments as our business applications are strongly coupled with our product.
You will drive innovation, efficiency, and new value by exploring and initiating new software solutions (build & buy) and leveraging AI tools and capabilities to build and scale.
This is a unique opportunity to join a fast-growing SaaS B2B company in a key position and make a significant impact on all our business flows.
Responsibilities:
Own all aspects of business applications (exploration, initiation, setup, enablement, support) across all of our companys business units.
Set the vision and roadmap for our companys operational workflows' future landscape
Lead, mentor, and scale our companys team of proficient business application managers.
Partner with senior business stakeholders (from TLs to VPs and C-level) as well as operational teams, understanding their needs and translating them into scalable system solutions.
Drive integration of a variety of tools and systems, using various tools such as Workato and N8N, ensuring data flows and customer journeys are seamless and measurable
Work closely with the Finance department, integrating the sales and financial processes and systems (e.g., CPQ, NetSuite, Billing systems)
Drive AI adoption across the company by both building & buying AI solutions, promoting AI workflows, and enabling teams to use them effectively.
Some of the main systems in use today:
Salesforce, Hubspot, Zendesk, Gong, Chilipiper, ZoomInfo.

We are looking for a Team Leader to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

we are looking for a Senior Generative AI Analyst (Red Team) to help secure the next generation of AI systems. In this role, you will lead advanced safety red-teaming efforts to identify risks, vulnerabilities, and failure modes in Generative AI models, including LLMs, text-to-image, and emerging modalities. Youll work at the intersection of technology, policy, and real-world risk, collaborating with internal teams, external experts, and clients to design rigorous, defensible testing strategies and deliver high-quality safety insights. What Youll Do
* Design and execute advanced red-teaming and adversarial testing of Generative AI systems
* Develop adversarial prompts to probe model weaknesses across multiple risk domains
* Analyze and communicate model vulnerabilities and safety insights
* Ensure high standards of data quality, documentation, and traceability
* Collaborate with multidisciplinary teams and external specialists
* Contribute to red-teaming tools, methodologies, and infrastructure
* Engage with clients and stakeholders as a subject-matter expert


About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

You will participate in implementing a new strategic platform offering Generative AI (Gen AI) capabilities such as inference, fine-tuning, data curation, data labeling, and more.

We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.

Responsibilities:
Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling.
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning.
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team.

Were looking for a visionary, technically grounded, hands-on practitioner to help us explore, shape, and represent the future of AI agent trust. You will develop a deep understanding of how autonomous and agentic systems are built and used in the real world, and help internal teams and the broader ecosystem reason about how agents can be trusted, governed, and safely deployed.
You will report to the CPO, work closely with the CTO, and partner across product, engineering, research and data teams. This role sits at the intersection of emerging agent technologies, product strategy, hands-on technical exploration, and external thought leadership.
What Youll Do:
Research & Ecosystem Insight
Stay current on agentic systems and autonomous architectures, with a focus on how agentic interactions are enabled across the open web.
Analyze how AI agents are designed, deployed, and integrated across industries and use cases.
Track trends, standards, and shifts in agent architectures, behaviors, and interaction patterns.
Develop models and approaches to profile, classify, and assess agentic interactions.
Technical Exploration & Prototyping
Build lightweight prototypes or proofs-of-concept to validate ideas and assumptions.
Evaluate third-party frameworks, tools, and integration approaches.
Translate emerging concepts into clear technical direction, architectures, or requirements.
Product Enablement
Advise product teams as they explore and productize agent-trust solutions.
Help reason about agent behavior, system boundaries, reliability, and safe operation.
Act as a bridge between research, product, engineering, and data.
Thought Leadership
Represent the company on topics related to AI agents, autonomy, and trust.
Contribute to blogs, whitepapers, talks, or industry discussions that shape how the market thinks about agentic systems.
Engage with partners, customers, and the broader ecosystem to share insights and learn from real-world feedback.
Help position the company as a credible, forward-looking voice in AI-agent trust.
Communication & Collaboration
Communicate complex ideas clearly through documentation, presentations, and discussions.
Build shared language and understanding around agentic systems across the organization.
Collaborate effectively in a fast-moving, cross-functional environment.

We're looking for an AI Product Engineer to join the AI team and own how our product knowledge translates into reliable AI agent capabilities. This role sits at the intersection of product expertise and AI implementation. You won't write code or build ML models. Instead, you'll analyze agent interactions, create prompts and skills, improve documentation for AI consumption, label datasets, and write evaluations.
Think of this as a Knowledge and Content Manager for AI. You'll make sure our agents can accurately answer questions about us, guide users through workflows, and reduce support escalations.
Key Responsibilities:
Analyze AI inputs and outputs - Review agent conversations to identify gaps, hallucinations, and improvement opportunities
Create and maintain prompts and skills - Build reusable capabilities that encode our product logic and terminology
Improve documentation structure - Restructure docs so agents can cite accurate, step-by-step guidance
Label datasets and write evaluations - Measure agent quality across common questions and track improvements
Collaborate across teams - Work with Product, Docs, Support, and GTM to address real user pain points
Maintain the AI capability library - Keep prompts and skills organized with sendversioning and usage insights.

We are searching for a Senior AI Product Manager who can bridge the gap between AI capabilities and business impact. You will be responsible for identifying and embedding AI into our product in ways that drive value, create efficiencies, build competitive advantage, and unlock new revenue opportunities
At our company, we appreciate your past, but mainly focused on the future and what we can achieve together. This is your opportunity to lead AI-first product development in a fast-paced startup, where your work directly impacts the future of the online commerce.
Your Arena - Know your impact
As a Senior AI PM, you will be the bridge between cutting-edge AI technology and real-world business impact. You will own the end-to-end productization of AI by turning todays most advanced models into intuitive, high-impact features. From discovery to launch to optimization, your focus will be on delivering AI-driven innovation that matters
Strategic Ownership: Define and evolve the AI product roadmap, aligning initiatives with business goals and measurable outcomes.
Prompt Engineering Mastery: Design, test, evaluate, and optimize prompts to ensure consistent, high-quality outputs from LLMs.
Productization of AI: Translate model capabilities into seamless, reliable, and efficient product experiences.
Cross-Functional Leadership: Partner with Engineering, Design, and Ops to scope, build, and ship AI-powered features that are usable, compliant, and impactful.
Experimentation & Validation: Run quick experiments to validate hypotheses, measure ROI, POCs, and ensure every AI investment delivers clear value to the business and customers.
Discovery & Delivery: Proactively discover and validate new features and enhancements through data to solve your problem area while ensuring timely and efficient delivery.
Internal Evangelism: Champion AI adoption across the organization. Help stakeholders understand whats possible (and whats not) with todays models.
Market Awareness: Stay on top of the rapidly evolving AI ecosystem and assess which external models, APIs, or tools should be brought into our product.

We are looking for a GenAI Product Owner to join our AI organization and play a critical role in executing our GenAI and Physical AI initiatives. This is a highly hands-on, execution-focused role, sitting at the intersection of GenAI, data platforms, and ambient IoT.
You will work closely with engineering teams to turn ideas, strategies, and architectural direction into clear technical stories, tasks, and deliverables - and make sure they get shipped. While product strategy will evolve over time, the core of this role is getting things done: driving execution, removing friction, and ensuring complex technical work moves forward with clarity and urgency.
This role is ideal for someone who enjoys being close to the technology, thrives in ambiguity, and wants to work on deep, difficult problems at the frontier of Physical AI and GenAI.
Responsibilities
Own the Product Roadmap: Lead the planning, execution, and delivery of product features related to our data-driven products.
Sprint Management: Oversee agile sprints, ensuring alignment between engineering teams and other stakeholders on timelines and technical requirements.
Collaborate with Cross-Functional Teams: Work closely with engineering, product managers, and business teams to ensure features align with both technical and business needs.
End-to-End Ownership: Take full responsibility for the product lifecycle, from ideation through to delivery and iteration.
Drive Timely Delivery: Ensure the delivery of roadmap features on time, managing risks and adapting to changing priorities.
Communication: Regularly update leadership and stakeholders on project status, roadblocks, and successes.

Were seeking a visionary team lead to lead a AI & backend -focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across our company to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role, youll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What Youll Do Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. Youll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems. Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications. Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security. Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization. Drive agile processes and best practices, leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality. Scale the team strategically, hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We are searching for a Senior AI Product Manager who can bridge the gap between AI capabilities and business impact. You will be responsible for identifying and embedding AI into our product in ways that drive value, create efficiencies, build competitive advantage, and unlock new revenue opportunities At Chargeflow, we appreciate your past, but mainly focused on the future and what we can achieve together. This is your opportunity to lead AI-first product development in a fast-paced startup, where your work directly impacts the future of the online commerce. Your Arena - Know your impact ?? As a Senior AI PM , you will be the bridge between cutting-edge AI technology and real-world business impact. You will own the end-to-end productization of AI by turning today’s most advanced models into intuitive, high-impact features. From discovery to launch to optimization, your focus will be on delivering AI-driven innovation that matters Strategic Ownership : Define and evolve the AI product roadmap, aligning initiatives with business goals and measurable outcomes. Prompt Engineering Mastery : Design, test, evaluate, and optimize prompts to ensure consistent, high-quality outputs from LLMs. Productization of AI : Translate model capabilities into seamless, reliable, and efficient product experiences. Cross-Functional Leadership : Partner with Engineering, Design, and Ops to scope, build, and ship AI-powered features that are usable, compliant, and impactful. Experimentation & Validation : Run quick experiments to validate hypotheses, measure ROI, POCs, and ensure every AI investment delivers clear value to the business and customers. Discovery & Delivery : Proactively discover and validate new features and enhancements through data to solve your problem area while ensuring timely and efficient delivery. Internal Evangelism : Champion AI adoption across the organization. Help stakeholders understand what’s possible (and what’s not) with today’s models. Market Awareness : Stay on top of the rapidly evolving AI ecosystem and assess which external models, APIs, or tools should be brought into our product.

Our data science team is seeking a highly skilled AI researcher with expertise in modern AI methods (e.g., multi-agent architectures, reinforcement learning on LLMs) and a passion for transforming theoretical challenges into real-world products.
In this role, you will leverage our unique clinical datasets to design and build groundbreaking solutions that provide medical benefits to millions of people. You will take full end-to-end ownership of your models - from ideation and research to production deployment and ongoing monitoring.
Working across both research and production environments, you should have proven experience in developing and deploying machine learning algorithms, along with strong interpersonal and collaboration skills. We value independent thinkers who are also proactive doers.

What Youll Be Doing:
Develop clinical AI models to support Ks clinic workflows, with a focus on patient-facing applications
Design and implement scalable, efficient pipelines for data preprocessing, information extraction, and model training
Stay up to date with the latest AI research and best practices, and translate them into production-ready solutions
Communicate complex technical concepts and solutions to non-technical stakeholders
Collaborate with MLE and AI engineering teams to deploy scalable, robust solutions

We are looking for an experienced ML/AI engineer to anchor our ML Platform team. You will lead the effort to productize our Large Language Models, transforming experimental code into robust, efficient services. Your goal is to build the infrastructure that allows our Data Scientists to move fast without breaking production.

What you'll be doing:
Model Development & Optimization

Fine-tuning & Engineering: Develop and fine-tune LLMs/classic models for specific medical tasks (condition detection, dialogue systems) using internal datasets.
Research to Production: Partner with Data Scientists to develop experimental code into scalable, production-ready modules.
Platform Engineering & Infrastructure

Pipeline Orchestration: Build and maintain complex ML workflows using Kubeflow Pipelines (KFP) or similar orchestration tools.
Internal Tooling: Develop and manage the internal Python ecosystem-libraries, SDKs, and utilities-that the Data Science team uses for daily development.
CI/CD & Automation: Write and maintain CI/CD scripts to automate the testing, versioning, and deployment of machine learning artifacts.
Production Standards & Integration

System Integration: Work with backend developers to integrate trained models/agents into the core application architecture.
Code Quality: Enforce high engineering standards through code reviews, ensuring that research code meets production reliability and maintainability requirements.
Requirements Engineering: Translate evolving data science requirements into concrete infrastructure and platform features.

We are looking for an exceptional Senior AI Researcher to join our fast-growing company during a pivotal stage of market expansion. In this role, you'll lead groundbreaking research in SOC automation, develop industry-defining benchmarks, create innovative prototypes that transform into product features, and establish thought leadership through conferences and publications. If you're passionate about revolutionizing security operations through AI and excited about shaping industry standards, we'd love to hear from you!
What Will You Do?
Lead research initiatives that redefine SOC automation capabilities, creating industry benchmarks and evaluation frameworks for AI in security operations
Design and develop functional prototypes that demonstrate breakthrough concepts, transitioning research into product features with engineering teams
Collaborate with security researchers, Product Marketing, and the Head of AI to analyze competitors and align research priorities with commercial objectives
Present findings at premier conferences (BlackHat, RSA) and publish tools/content that advance security automation and establish thought leadership
Mentor engineering teams on advanced AI techniques and their practical applications in security contexts.