לוח משרות דרושים הייטק AI במרכז

Were seeking an experienced and skilled Data and AI Infra Engineer to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
A day in the life and how youll make an impact:
As a Senior Engineer, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Required AI Developer
Who we are:
We are a TLV-based startup thats on a mission to change the work experience for 80% of the worlds global workforce - the deskless employees.
Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business.
About the Role:
Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

Responsibilities:
AI Agent Design & Integration:
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development:
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure:
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement:
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

we are looking for a Clinical Data Labeling.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

We are looking for an AI Engineer to join the hunt.
Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.



Key Responsibilities:

Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation

You will:
Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making.
Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.
Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders.
Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback.

We are looking for a hands-on GTM Engineer to help make our Go-to-Market engine smarter, more efficient, and more effective. This role focuses on removing manual and administrative work from GTM teams, enabling humans to focus on strategy, creativity, and decision-making while systems handle execution and scale.

The GTM Engineer designs and operates HubSpot-centered GTM architecture and AI-powered automation that improves speed, accuracy, and scalability across Marketing, Sales, and SDR workflows.

What you will do:
Own day-to-day administration, configuration, and optimization of HubSpot across Marketing and Sales use cases.
Design and maintain GTM system architecture, including data models, lifecycle logic, routing, scoring, and automation frameworks.
Build, operate, and continuously improve AI-powered workflows that reduce manual work and increase GTM velocity.
Implement advanced automation using tools such as Clay, AI agents, and workflow orchestration platforms.
Integrate HubSpot with Salesforce and other GTM systems to ensure reliable data flow and process consistency.
Automate enrichment, qualification, routing, outbound support, and handoff processes across the funnel.
Monitor data quality, automation health, and system performance, proactively identifying and resolving issues.
Document system logic, workflows, and automation patterns to ensure maintainability and scalability.
Continuously experiment with new AI and automation approaches and apply them to practical GTM use cases.

Were hiring an AI Engineer for our AI Core team to build and scale AI across our products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.

What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.

Location: Herzliya | Hybrid work model.

We are seeking an experienced AI Product Manager with a strong technical background to lead the development and evolution of our groundbreaking AI Autopilot product. This role is responsible for steering initiatives that dramatically increase operational efficiency by leveraging autonomous AI to resolve IT issues, automate Tier 1 support, and empower customers with true self-service IT. You will shape the future of our platforms AI capabilities, making a bold impact on both the IT management software industry and the daily lives of IT professionals and end users.
Responsibilities:
Lead and manage a dedicated AI squad, comprising cross-functional team members such as AI/ML engineers, developers, and product designers.
Drive the strategic vision and roadmap for our AI Autopilot module, defining priorities based on customer needs, automation opportunities, emerging AI trends, and competitive benchmarks.
Collaborate intensively with stakeholders to understand market trends, organizational pain points, and the evolving competitive landscape related to autonomous IT and agentic AI.
Define and prioritize AI-driven product requirements, orchestrating feedback from users, market analysis, and internal specialists to maximize impact and adoption.
Own the full AI product lifecycle, from ideation and prototyping to launch, continuous optimization, and post-release monitoring, with a focus on delivering measurable improvements in IT workload automation, ticket resolution speed, and user experience.
Collaborate closely with our CTO, design, engineering, customer success, analytics, marketing, and support teams to steer AI development, deployment, and iterative enhancement.
Establish and monitor KPIs for Autopilot usage, SLA improvements, and automation impact, using analytics to refine AI workflows and effectiveness.
Champion secure, ethical, and compliant use of AI, ensuring privacy and governance within all automation flows.
Work directly with design partners and customers to deliver a 100% market fit product.

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 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 business units.
Set the vision and roadmap for our operational workflows' future landscape
Lead, mentor, and scale our 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.

Were looking for a sharp, creative, and impact-driven GTM AI Developer to join us on a mission to transform how we scale revenue using AI.
If you're a fast learner, deeply familiar with AI tools and automation platforms, and excited by the opportunity to drive sales growth, streamline business operations, and eliminate manual work, this role is for you. Youll create AI-powered solutions across our GTM and Revenue teams (Sales, Marketing, Customer Success, Support) and play a central role in shaping how we work and win.
Responsibilities:
Design and deliver end-to-end AI-driven workflows that increase sales efficiency, automate recurring tasks, and elevate customer management.
Leverage AI Tools and platforms like n8n, LLMs, LangChain, Python and more to ship intelligent, scalable automations.
Design, build, and work with MCPs across multiple systems, including developing custom MCPs to securely connect AI agents with internal and external data sources and business systems
Own, maintain, and continuously improve existing AI agents (e.g., SDR agents, enrichment agents), optimizing their performance, accuracy, and business impact over time
Independently drive projects from discovery through execution, including designing, building, and deploying
Partner with business stakeholders across Sales, Marketing, RevOps, Customer success and support to deeply understand operational pain points and business needs and opportunities, and craft practical AI solutions.
Drive AI adoption, including onboarding teams to new AI tools, iterating based on feedback, and continuously improving usage and outcomes
Collaborate with peers from the business applications and data teams to provide impactful, data-driven operational solutions
Explore and test new AI capabilities and translate them into valuable use cases for the business.

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.