לוח משרות דרושים עבודה היברידית

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 3-4 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.

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.
We operate in a flexible hybrid work model.

Required Engineering Team Lead - Application Infrastructure
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 operate in a flexible hybrid work model.

Our focus is on increasing top-line revenue by building a scalable sales funnel that utilizes the cloud providers solid sales and partnership networks, programs, and brand.

You will be the trusted advisor and hands-on expert guiding our startups through every stage of launching and optimizing their offerings on Cloud Marketplaces, with a primary focus on the AWS Marketplace. Youll combine deep technical knowledge of Marketplace product delivery, fulfillment, enablement with strong business acumen in pricing, private offers, co-selling programs, and GTM strategy.

Your work directly drives client revenue, speeds up time-to-market, and unlocks co-sell opportunities with AWS sales teams.

The role works hand in hand with our internal stakeholders and various contacts within the startup and ISV companies (CTO, product managers, DevOps), and with cloud vendors (Partner Solution Architects, product/service teams).

The ideal candidate will proactively enhance recognition and field awareness of the represented software companies capabilities within the cloud vendor ecosystem.

They must possess strong business acumen, exceptional communication skills in English (both verbal and written), and excellent self-organization and collaboration abilities.

They should also be able to think and explain a strategic level approach while effectively executing hands-on tasks.

Responsibilities
Lead end-to-end AWS Marketplace onboarding and product launches for startups and ISVs (seller registration, tax/banking setup, product metadata, fulfillment methods, metering, entitlements).
Advise on optimal product delivery models (SaaS contracts, AMI, containers, professional services, data products) and technical integration with AWS services.
Develop and execute tailored go-to-market strategies: pricing models, private offers, promotions, listing optimization, and customer acquisition playbooks.
Enable co-selling with AWS: enroll clients in ISV Accelerate, align with Partner Development Managers (PDMs), build co-sell pipelines, leverage AWS co-sell tools, and prepare for joint customer engagements.
Guide clients on Private Offers (PO) and Channel Partner Private Offers post go-live
Conduct workshops, training sessions, and ongoing enablement for client sales, product, and operations teams.
Manage launch projects: timelines, milestones, issue resolution, and post-launch performance optimization.
Stay current on AWS Marketplace features, programs (e.g., ISV Accelerate, PayGo incentives, MDF), and best practices; share insights internally and with clients.
Collaborate with our team on methodology, templates, and tools to scale our service delivery.

As a Cloud Alliance Manager, you will lead and support software vendors to optimize their strategic partnership with the major cloud providers, build a scalable co-sell channel, drive marketing activities, and maximize additional benefits for your customers.

The ideal candidate will lead initiatives to generate and engage with cloud providers (AWS, Microsoft, GCP) to develop new businesses for his/her managed customers. He/she should be able to think strategically when developing a plan and have a demonstrated ability to execute a particular strategy.

Responsibilities
Manage the cloud partnership between our customers, top-tier software vendors, and the hyperscalers GTM and alliance teams.
Promote sales, business development, partnership, and marketing activities for our customers.
Identify partnership opportunities.
Develop new relationships to grow business and help the managed customers expand internationally.
Think strategically when planning and execute the plan effectively and efficiently to ensure customer success.

Were looking for a hands-on, delivery-focused Team Lead to build and lead a full stack data oriented team responsible for developing our DEX platform. You will drive execution excellence, enforce engineering standards, and collaborate cross-functionally with product, infrastructure, and other teams to deliver high-quality, production-ready platform that scale.
Youll be joining a growing R&D group with strong technical talent, high delivery standards, and clear leadership support. Youll have the opportunity to shape your teams direction, build impactful infrastructure, and work closely with cutting-edge initiatives and technologies.
How Youll Spend Your Day
Team Leadership
Guide and mentor a team of full stack engineers, promoting accountability, ownership, and technical growth
Drive a culture of proactive communication, quality-first mindset, and collaborative problem-solving
Manage delivery timelines and expectations with strong focus on predictability and transparency
Planning & Execution
Ensure features are well-scoped, designed, and reviewed
Own the planning process: dependency management, early risk identification, and cross-team alignment
Lead sprint ceremonies effectively, with clear goals, action items, and follow-ups
Technical Excellence
Own high-level and detailed designs for team-delivered features
Ensure thorough design and PR reviews that align with architectural and security standards
Enforce coding best practices, testing, documentation, and observability
Cross-Team Collaboration
Work with PMs, infra, automation, and other teams to build scalable platform features
Align on feature requirements, UI standards, and integration contracts
Quality & Ownership
Ensure all deliveries meet definition of done: tested, documented, production-ready
Oversee E2E testing, internal and cross-team, as well as production rollout readiness

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.

we are looking for a Devops engineer.

we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.
A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.