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Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Required Senior Backend Engineer
As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
System Integrity: Building the foundation for high-performance services that directly affect the stability and speed of the entire product.
Operational Excellence: Elevating the team's technical bar through the implementation of robust CI/CD and quality processes.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.

Required Senior AI Infrastructure Engineer
As a Senior AI Infrastructure Engineer, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power our AI innovation.
Youll Own:
Developing and evolving our machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling.
Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation.
Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency.
Youll Solve:
Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles.
Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably.
Youll Impact:
Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently.
Improve the scalability, reliability, and consistency of machine learning development across our AI organization.

We are looking for an Engineering Team Lead to join our Enable group, where we are redefining professional growth with AI. You will build and scale the intelligent mechanisms that power our coaching and enablement suite, crafting the future of how revenue organizations learn and perform.
Youll Own:
Team Evolution & Mentorship: Leading a growing squad of backend and frontend engineers, while coaching and mentoring individuals to reach their full potential.
Roadmap Partnership: Collaborating closely with Product Management to shape the teams roadmap, ensuring the right balance between product milestones and engineering health.
Product Strategy: Moving beyond just execution by partnering with Product and Design to identify how AI can solve unique learning and coaching challenges. You will act as the technical voice in the room, shaping the feasibility and vision of our features.
Technical Ownership: Driving the design and implementation of complex application features. You will be responsible for the architectural choices that ensure our AI-powered learning tools remain intuitive, high-performing, and easy to maintain as we scale.
Youll Solve:
Architectural Complexity: Designing and architecting scalable solutions within a large-scale enterprise platform. You will ensure that as we introduce new AI-native learning features, the system remains modular, maintainable, and high-performing.
Priority Balancing: Navigating the tension between high-velocity feature delivery and the long-term health of the application. You will make the tough, high-level calls on when to iterate quickly and when to invest in structural improvements.
Workflow Efficiency: Identifying and removing roadblocks in the development lifecycle. You will lead by example to foster a culture of continuous improvement, ensuring the team stays agile as we scale our feature set and our team size.
Youll Impact
AI Product Innovation: You will own the development of AI-native products that change how revenue professionals work. You will transform complex data into actionable insights to help our global customer base master their skills and improve their performance.
Engineering and Architectural Excellence: You will define coding standards and ensure the architectural integrity of our application. You will lead the design of robust features that integrate AI capabilities into our user experience while maintaining long-term code quality and system performance.
Customer Empowerment: You will build tools that help people perform at their best. Your work will have a tangible, daily impact on how our users learn and grow within their organizations.
Cultural Leadership: You will build and grow a high-performing team. You will lead by example, scaling our talent and engineering processes to meet our company goals.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

we are looking for a Customer Service Representative.
As a Customer Experience Representative, you will be our customers' primary point of contact, providing exceptional support.
You will work in a 24/7 customer service center, ensuring seamless support around the clock.

Required Head of AI Security
Tel Aviv
As the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures.
Youll Own:
Our end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
Secure-by-design frameworks and security architecture for AI-powered products and platforms
AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
AI governance, internal security policies, and alignment with emerging global AI regulations and standards
Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Youll Solve:
Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
Preventing sensitive customer and enterprise data from leaking into training sets or model outputs
Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
Embedding security seamlessly into the ML lifecycle without slowing innovation
Building scalable AI security operations through automation, monitoring, and continuous adversarial testing
Navigating evolving AI governance, compliance, and regulatory requirements across global markets
Youll Impact:
Maintain our reputation as a leader in secure and trustworthy enterprise AI
Build the foundation that allows AI innovation to scale safely and responsibly
Strengthen customer trust by protecting highly sensitive conversational and business data
Create resilient AI systems that can withstand real-world attacks and emerging threat vectors
Drive a security-first AI engineering culture across the organization
Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company.

Required Engineering Team Lead - Application Infrastructure
Tel Aviv
As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.
Youll Impact:
Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.

We are looking for an ambitious Business Analyst who is passionate about strategy in the tech space. The Business Analyst will support business strategy and data-driven decision-making in the core market. Proactively guide business growth and supply monetization, quality, and marketplace efficiency using data analytics and business acumen.
Responsibilities:
Identify and solve business problems using analytical skills and business judgment
Monetization plan by changing and maximizing market behavior
Optimize the marketplace for optimal performance and growth
Lead strategic projects with senior management and internal units to improve operations
Pricing structures, products, and more
Set driver acquisition targets for the Supply and operations teams
Provide local market intelligence: together with the Tech team, research tools and methods used by competitors
Enable data-driven decision-making and business performance tracking
Support daily operations with data and business insights.

Requierd Director, Product/R&D Strategic Finance (FP&A)
Tel Aviv
As the Director of Strategic Finance, you will be leading FP&A for all R&D and Product strategy, and will partner closely with key members of the R&D and Product Leadership team, including the CPO and Chief R&D.
You will be a valued business partner in driving cross-functional, strategic planning and delivering business insights for all R&D and Product functions. You will partner with various functions in leading strategic projects as well as report on meaningful financial and operational metrics to drive insightful and data-led business decisions.
You will play an active role in defining strategic investments that favor the long term and set up for continued success. You will have high visibility into the vision and goals of R&D and Product divisions, as you evaluate and support key metrics that will drive profitable growth at scale.
You will be responsible for:
Manage, develop, and grow the strategic finance function for Product & R&D to help drive our growth through innovation
Partner with the Product and R&D leadership teams in thinking through and modeling long-term P&L trajectory
Strategically influence ongoing analysis on compute, product adoption, and optimization
Lead forecasting and budgeting, partnering with department leaders on monthly, quarterly, and annual analysis
Prepare and analyze management presentations, including monthly reporting, BOD, QBR, and Finance Review
Partner with the Accounting Team to support the month-end close process
Build complex financial models and analyses, including competitive analysis, gross margin analysis, pro forma models, scenario-based models with sensitivities, and consumption-based product models.
Provide financial expertise to help support headcount planning, budgeting, forecasting, and long-term planning.
Develop and implement scalable, efficient financial processes, leveraging AI and automation across FP&A to enhance reporting, forecast accuracy, and overall team productivity in support of our rapidly growing business.
Partner with FinOps and Engineering to manage and optimize cloud infrastructure spend, balancing cost efficiency, performance, and scalability.

we are looking for a Retention Marketing Manager.
The Retention Marketing Manager will be responsible for executing and designing customer retention strategy, combining hands-on campaign execution with creative content development.
This role combines technical expertise with marketing creativity, encompassing tasks such as building automations and surveys in Braze, writing engaging copy, briefing campaigns, and managing the monthly retention plan. The focus is on strengthening customer relationships, increasing ride frequency, and maximizing lifetime value.
Reporting to the Head of Marketing - Demand, the ideal candidate is a retention marketer who is both data-driven and creative, with strong experience in B2C marketing platforms such as Braze, and the ability to craft campaigns that deliver measurable results while resonating with customers.

we are looking for a Head of Delivery Growth & Business Development.
Lead the overall growth strategy and business development of the Delivery unit, with full accountability for revenue growth, market expansion, strategic partnerships, and commercial performance. Drive the business roadmap, identify new growth opportunities, and align cross-functional teams around strategic initiatives that accelerate scale, competitiveness, and long-term business success.
Key Responsibilities:
-Own the growth strategy and commercial roadmap of the Delivery business across all customer segments and markets.
-Identify, evaluate, and execute new growth opportunities, strategic partnerships, and revenue streams.
-Drive market expansion initiatives and develop strategies to increase market share and business penetration.
-Translate market trends, competitive insights, and business data into actionable growth plans and strategic priorities.
-Lead cross-functional collaboration with Product, Sales, Marketing, Finance, Data, and Leadership teams to ensure alignment and successful execution of strategic initiatives.
-Build business cases, define investment priorities, and drive decision-making to support sustainable growth.
-Establish and monitor growth KPIs, ensuring visibility, accountability, and continuous performance tracking.
-Represent the Delivery business in executive discussions, providing strategic recommendations, growth forecasts, and market insights.
-Develop and maintain relationships with key partners and stakeholders to strengthen the business ecosystem and unlock new opportunities.

Required Training Manager
About the Product:
The Voca AI Receptionist is our standalone, entry-level AI offering for businesses of all sizes, from SMB to large enterprise. Built as a multi-platform solution that sits on top of any voice platform (Microsoft Teams, Cisco, Avaya, RingCentral, traditional PBX, or carrier voice services), it dramatically expands our addressable market well beyond the Microsoft footprint. It delivers AI-driven call routing, document and website-grounded Q&A, CRM integration, appointment scheduling, and outbound SMS to organizations looking for a fast on-ramp into AI-powered customer service, regardless of the phone system they already own.
Responsibilities:
Design, develop, and own the Voca CIC training curriculum end-to-end, covering platform administration, IVA design, contact center operations, and integrations, tailored to multiple audience levels including agentsand supervisors, administrators, partners, and technical teams.
Deliver remote instructor-led training sessions, for customers, channel partners and resellers, and internal teams including Professional Services, Support, and Sales Engineers.
Build and maintain hands-on lab environments and practical exercises that simulate real-world Voca CIC deployments and AI-driven contact center scenarios
Develop and manage a structured certification program to ensure consistent Voca CIC knowledge and delivery quality across the reseller and end customers ecosystem.
Create and maintain a full range of training assets including presentations, e-learning modules, video walkthroughs, quick-reference guides, and knowledge base content to support self-service enablement at scale.
Collaborate with Product Management and R&D to stay current on new features and releases, and translate product changes into updated training materials at every release cycle.
Evaluate training effectiveness through assessments, certification pass rates, and learner feedback, and continuously iterate to improve content quality and delivery outcomes.
Identify knowledge gaps in the field by working closely with the Voca SME, Professional Services, and Customer Success teams, and address them through targeted enablement programs.

We are seeking service-oriented representative to provide frontline service to customers requiring taxi services at the Israeli airport.
Working Hours:
Shift work, 24/7 availability.: Morning: 6am-14pm, Afternoon:14pm-22pm, Night: 22pm-6am
This position is highly suitable for students.