דרושים » הנדסה » R&D Lead - Founding Team

Required AI Architect
Position Overview:
As the AI Architect for our SaaS Platform & Products, you will define and drive the end-to-end AI architecture that powers our cloud AI platform and product capabilities, while ensuring strong alignment with security, privacy, reliability and cost-efficiency requirements. You will partner closely with engineering leaders, product management, data science, security and operations to translate business needs into a scalable, governed and AI platform that accelerates innovation across multiple product lines.
This is a hands-on architecture role: you will set technical direction, run architectural reviews, and build prototypes to validate technology choices and de-risk delivery.
Key Responsibilities:
Own the AI Vision: Take end-to-end ownership of the AI architecture across, including our cloud AI platform, agentic AI infrastructure, and on-prem/hybrid AI deployments.
Architect an AI Platform for SaaS Products: Define reference architectures and shared building blocks (e.g., AI gateways, orchestration runtimes, memory/RAG systems, vector search, evaluation frameworks, observability, and guardrails) that can be adopted consistently across products and teams.
Cost Optimization and Scalability: Provide architectural leadership to ensure AI systems are designed for cost efficiency and scalability, actively identify and implement opportunities to optimize cloud spend (FinOps), improve utilization, and meet latency/SLO targets.
Product-Centric Collaboration: Collaborate with engineering, product, data science, security, and operations teams to translate product requirements and business needs into a strategic AI architecture that drives measurable product value.
Technology Evolution and Prototyping: Evaluate new technologies, tools, and methodologies to continuously improve our AI systems, build prototypes and proof-of-concepts to validate approaches and accelerate decision-making.
Technical Reviews, Standards and Mentorship: Lead technical design reviews and provide guidance on best practices and emerging technologies. Act as a technical authority and mentor, fostering a culture of engineering excellence and pragmatic delivery.
AI Governance, Privacy and Security: Ensure AI capabilities comply with data privacy, security, and ethical AI guidelines. Partner with security and legal stakeholders to implement governance controls and risk mitigations appropriate for regulated environments.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. learn more. job description
we are looking for a senior ai software engineer to join our generative ai foundation team. we build ai agents and shared infrastructure that power genai capabilities across the company, enabling product lines to adopt agentic workflows safely, reliably, and at scale.
in this role, youll be involved in the full software lifecycle - from fast-moving prototypes and pocs to production-grade, observable systems. youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
youll work hands-on with leading llms and the modern agentic ecosystem, leveraging a wide range of aws services. youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops

Required Staff Software Engineer, AI
Company Overview
We are the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits

We are looking for an experienced and motivated R&D Team Leader to join our engineering organization.
This role combines hands-on technical leadership with team management responsibilities, leading the development of a complex and scalable solution.
The ideal candidate will guide the team in building high-quality products while driving architectural decisions and ensuring strong engineering practices.
If you are passionate about technology, excited about AI innovation, and thrive in a proactive, ownership-driven environment - wed love to meet you.
Responsibilities:
People Leadership & Team Development:
Lead hiring processes and build a strong, high-performing team.
Provide regular feedback to team and conduct 1:1 meetings to support professional growth, especially of junior team members.
Facilitate and lead team rituals to foster collaboration, alignment, and continuous improvement.
Technical Leadership & Execution:
Demonstrate proficiency in the teams technologies and guide technical direction.
Own the delivery of high-quality solutions, reviewing code and designs, while remaining fully hands-on.
Drive sprint planning and execution, ensuring timely delivery of features with high quality and low defect rates.
Identify, communicate, and escalate risks and blockers to maintain progress.
Product & Collaboration:
Understand the product and user domain, ensuring team work aligns with product goals and customer needs.
Work closely with Product Managers, designers, and QA to ensure alignment and smooth development.
Communicate updates and progress transparently to stakeholders.
Adjust team priorities and plans in response to changing circumstances and constraints.
Innovation & Continuous Improvement:
Encourage the team to experiment and try new approaches to solving problems.
Explore and promote the use of generative AI tools (e.g., Copilot, ChatGPT) to enhance coding, documentation, and daily workflows.
Make data-informed decisions, balancing priorities, technical constraints, and business needs.

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.

This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities

Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.

Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into services.

Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.

Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

Required senior r&d team leader - iga
company description
about us:
We are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust us to help secure their most critical assets. 
job description
We are reinventing identity security and identity governance. join us to build a world-class solution with a simple and intuitive User Experience that stands apart from the complex products in the it & security space. the connector team is responsible for delivering on the mission that our iga can connect to anything. connectors are the foundation of all modern iga programs. customers have hundreds of different applications in their environment with a daunting amount of complexity. design the integration approach between the on-prem applications and the iga cloud service. our platform handles this complexity to support hundreds of out of the box connectors for saas applications, on-prem applications and custom applications. join the connector team to execute connectors at scale and help customers build connectors at scale by leveraging no-code, low-code and ai based vibe-coding.
we are looking for senior r&d team leader who thinks creatively and is great at execution to lead a Full-Stack engineering team.
as an engineering manager, you will take a major role in expanding iga to the large enterprise scale and lead, mentor, and build a team that will take one of the core activities of iga.

we are the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. job description
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.

company description
 a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description
we help protect the most critical assets of the worlds leading organizations. we are a global leader in identity security, providing cutting-edge security solutions for any identity - human or machine - across business applications, hybrid cloud workloads and throughout the DevOps lifecycle.
what will you do:
we are looking for an experienced software engineer for our new generation dv(digital vault) saas product.
we are looking for a senior software engineer to join our team. you will be responsible for building core saas offering products, built on-top of aws serverless stack, using Python, cdk and other cloud technologies.
you will work with smart (but humble) team members (developers, architects, DevOps, QA ), everyone working together to produce top-notch services at the highest standards - from planning to production.

looking for a senior software engineer to join our elite team which is responsible for building one of new saas products.
in this role you will be using aws serverless architecture, aws cdk & Python to design, develop, TEST, secure & deploy services from planning to production. you will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
the team works in full collaboration with security architects, product managers and other development teams.
we are looking forward for energetic and versatile person to join our family and help us achieving our goals.

Required AI Platform Engineer
Position Overview:
We're assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As an AI Platfrom Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our digital intelligence solutions through cutting-edge AI innovation.
Build advanced AI platform that operates both as a cloud SaaS and as a fully self-contained on-prem / edge deployment, designed for privacy-sensitive and security-critical environments, at the intersection of backend development, AI integration, DevOps, and open-source systems engineering.
You will be part of the core team responsible for adapting, hardening, and operating our SaaS architecture in on-prem and single-node environments (on Prem servers, laptops). Working closely with architecture and product management and play a key role in making complex AI systems deployable, reliable, and operable outside the cloud.
Key Responsibilities
Platform & Application Engineering:
Adapt cloud-native AI services to on-prem and edge deployments (single node, no managed cloud services).
Build and maintain full-stack components: Backend APIs (Python / Node.js), Lightweight UIs or internal tools when needed, Ensure services are stateless, configurable, and portable across environments.
AI & Open-Source Integration:
Integrate and operate open-source LLMs for:
RAG pipelines
Agentic workflows
Tool calling and orchestration
Work with: Embedding models, Vector databases (local and embedded modes), Analytical engines (e.g., embedded SQL / columnar systems), Optimize inference for CPU / single-GPU environments (quantization, batching, caching).
DevOps & Runtime Engineering (Strong Focus):
Package services into portable Docker containers usable in:
On-prem servers (Kubernetes)
laptop / edge devices
Implement in-process scaling strategies (worker pools, task queues, batching).
Build simple, reliable deployment and startup flows (no heavy orchestration).
Manage configuration, secrets, logging, and observability in constrained environments.
Systems & Reliability:
Design for: Offline operation, Limited resources, Predictable performance
Implement graceful degradation between: SaaS mode, On-prem server mode, Single-node / laptop device mode, Debug complex interactions across AI models, storage, and runtime systems.