Jobs in Tel Aviv-Yafo

Finance Student – AR Specialist We’re looking for a sharp and detail-oriented Accounting student to join our Finance team and take an active part in our day-to-day accounts receivable and collections. This is a hands-on role with exposure to customers, Sales and GTM teams, as well as key finance processes and reporting. You’ll help us stay on top of collections, keep our financial data accurate and improve the way we work as we continue to grow. What You’ll Do • Manage collection follow-ups, payment reminders and customer communication • Review AR aging and follow up on overdue accounts • Work closely with Sales and GTM teams on customer balances and payment issues • Track payment commitments and flag potential collection risks • Process credits and refunds and maintain accurate documentation • Respond to customer questions related to payments, balances and statements • Keep customer and payment data accurate across HubSpot and our finance systems • Support DSO, AR aging and collection performance reporting • Support monthly ARR reporting and reconciliation • Help prepare weekly cash collection forecasts • Support month-end AR reconciliations • Help improve and automate collection processes as we scale What You Bring • Currently pursuing a BA in Accounting with at least 1.5–2 years of studies remaining • Availability for approximately 90 hours per month • Strong Excel and Google Sheets skills • Organized, detail-oriented and comfortable working with numbers • Strong communication skills and confidence working directly with customers • Fluent English • Proactive, responsible and able to take ownership Nice to Have • Previous experience in AR, collections, bookkeeping or another finance-related role • Familiarity with HubSpot, Stripe, Tabs or accounting software • Interest in SaaS and startup finance

What You’ll Own You'll take full ownership of features and systems end to end -from the first design conversation through to production and beyond. You'll build across the full stack, contributing to frontend, backend and data systems that power Alta's AI agents, automation workflows and GTM execution. You'll think deeply about architecture and system design, making the right calls early so things scale well and stay fast. You'll work closely with Product, AI and GTM teams, bringing strong product thinking to your work and making sure what you build actually solves the right problems. You'll also be a force multiplier for the engineers around you — through design discussions and raising the bar for how the team builds.What You Bring Required • You have 7+ years of experience building and shipping production systems. • You have strong full stack experience with JavaScript or TypeScript and modern frameworks, and solid backend experience with Node.js, Python or similar. • You've built scalable, distributed or data-heavy systems and know what it takes to keep them reliable as they grow. • You have a strong product mindset, naturally orienting around user problems and outcomes, and you've worked closely with product teams to shape what gets built and why. • You're a natural collaborator -you communicate clearly, share context generously and make the engineers around you better. Nice to have • Experience with AI or LLM based systems or automation. • Background in B2B SaaS or GTM products. Who You Are • You take full ownership of what you ship and care about it long after it's in production. • You think carefully about system design and architecture, and know that the best decisions are made early. • You're a strong team player , you show up, share what you know and make the people around you better. • You're product minded and driven by user impact, not just technical elegance. • You thrive in fast moving, high ownership environments where the best idea wins. ‍

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team As the leading provider of Talent Orchestration technology, HiredScore’s artificial intelligence, automation and deep integrations empower the largest and most innovative companies in the world to safely and transparently drive critical business outcomes in recruitment productivity, diversity hiring, internal mobility, and total talent management. HiredScore is designed to help companies match, rediscover, and engage talent more effectively. Seamlessly integrated with Workday, it streamlines processes, reduces administrative tasks, and delivers timely insights that enhance decision-making and free up time for meaningful interactions with top talent. We place great value on career growth, learning and collaboration. Employees are our #1 value! We are an agile organization, constantly looking for ways to improve with a focus on the value we deliver to our customers. We work closely with people to acquire fast feedback and achieve the right outcomes. At our Israeli site, we follow a hybrid work model with 3 days in the office and 2 days from home About the Role We’re looking for an Technical Project Manager to join our growing Professional Services Team. This individual will be the primary point of contact during the pre-launch period, leading end-to-end implementation while ensuring scope, quality, and project KPIs are met. You will serve as a solution consultant, bridging the gap between R&D, Product, and the client to ensure global enterprises extract maximum value from our AI-driven orchestration. What You’ll Do • Own the end-to-end onboarding journey for new global customers, running engaging kickoff calls and Q&A meetings to drive successful product deployment • Direct and manage day-to-day projects including governance, planning, and stakeholder reporting at customer steer-co meetings while proactively resolving roadblocks to ensure deployments remain on schedule and within scope • Act as a solution consultant to translate business requirements into a feasible product setup within the HiredScore product • Build and maintain onboarding materials (playbooks, quick start guides, FAQs) and use deployment feedback to refine best practices and methodologies • Partner with Data Science, Product, and Customer Success to transition accounts from implementation to long-term adoption, ensuring a smooth handover to Customer Success and Support About You Basic Qualifications • 3+ years of experience in Enterprise B2B SaaS solution deployment, specifically within consulting, professional services, or functional implementation • 3+ years specifically leading complex, large-scale global external client-facing SaaS implementation projects for medium to large enterprises • Proven ability to take full ownership of projects, operate independently, and manage multiple priorities, timelines, governance and workstreams effectively • Lead complex conversations and manage senior stakeholder expectations • Ability to work effectively across both technical and business stakeholders, creating clarity for partners and internal teams even when priorities or requirements are evolving • Strong problem-solving skills, with the ability to troubleshoot technical issues and drive resolution Other Qualifications • Bachelor’s degree in Business, Information Systems, Industrial Engineering, or a related field • 2+ years of experience delivering AI-enabled solutions, intelligent automation, or ML-powered features within an enterprise context • Familiarity with NoSQL/SQL database and Postman • Familiarity with Agile methodologies and the software delivery lifecycle • Availability and flexibility to work during US hours • Industry knowledge of HR Tech Industry Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team Join the Paradox Product team at Workday to help reimagine recruitment and hiring with the first-of-its-kind conversational recruiting platform! The Paradox AI Assistant streamlines recruiting tasks from end-to-end, including screening, instantly scheduling interviews, and answering common candidate questions. The goal is to provide simple, frictionless chat, mobile, and text message-driven experiences that allow recruiting and hiring teams to spend more time with people and less time with software. We’re looking for exceptional individuals to join our team and to partner in creating a set of consumer grade software experiences. We collaborate constantly and continually look for ways to work better together. This team operate like an innovative startup within Workday: fast-moving, highly collaborative, and deeply technical, while still benefiting from Workday’s scale and stability. You’ll partner closely with product, engineering, data labeling, design, and go-to-market teams to ship consumer-grade, AI-first experiences that help recruiters and hiring teams spend more time with people and less time with software. About the Role As a Product Manager on the Paradox team, you will own the product lifecycle for some of our core AI-powered capabilities across candidate and recruiter experiences. You’ll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization. One key part of this role is that you will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. You’ll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience. You will: • Own AI-driven features, including candidate and recruiter-facing experiences. • Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact. • Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies. • Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments. • Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements. • Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes. This role is ideal for someone excited to be “in the weeds” with AI systems—understanding how they behave, why they fail, and what to adjust to make them meaningfully better for real users. About You Basic Qualifications: • 4+ years of experience as a Product Manager. • Proven experience delivering products into production (specific experience leading AI Products is an advantage). • Strong cross-functional collaboration skills, bridging technical teams (DS/Eng) and non-technical stakeholders (CSM, Business). • Proven ability to turn ambiguous problems into clear product decisions and priorities. Other Qualifications: • Understanding of GenAI architectures & evaluations: RAG, prompt engineering, dataset building, and core LLM evaluation frameworks (e.g., benchmark datasets, output validation). • Experience building agentic workflows or complex multi-agent systems (e.g., tool use, function calling, autonomous execution). • Prior experience in HR Tech or Talent Acquisition workflows. • Hands-on experience building/optimizing fine-tuning or RLHF pipelines. • Track record in a fast-paced 0→1 / early-stage product environment. Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team HiredScore provides deeply integrated AI solutions to F500 recruiting, sourcing, DE&I, and talent management teams. We focus on supercharging our clients' existing tech stack rather than adding and/or replacing. Core AI products include compliant and bias-free candidate scoring for active applicants and automated sourcing of passive candidates from existing ATS, CRM, HCM, VMS and other internal systems. HiredScore also offers a first-of-its-kind Diversity AI Module that is on the forefront of innovation in the DE&I technology category. A fully customized offering that provides numerous products as part of the solution suite enabling enterprise organizations to truly move the needle on their organizational diversity goals. We place great value on career growth, learning and collaboration. Employees are our #1 value! We are an agile organization, constantly looking for ways to improve with a focus on the value we deliver to our customers. We work closely with people to acquire fast feedback and achieve the right outcomes. At our Israeli site, we follow a hybrid work model with 3 days in the office and 2 days from home About the Role As the Development Team Lead for HiredScore Sourcing Products, you will manage and mentor a cross-functional team of Full-Stack Engineers, Backend Engineers, and QA Automation Specialists. Your team's core mission will be to translate AI/ML insights into seamless, scalable features that drive efficiency in recruiter workflows—specifically through resurfacing past applicants, prospects, and internal talent. You will own the entire development lifecycle for your products, from core API implementation to deploying user-facing applications and integration layers (web UIs, RPA/workflows, MS Teams bots) Key Responsibilities: • Lead, mentor, and grow the diverse engineering team, ensuring effective collaboration between backend, full-stack, and QA functions. Drive best practices in development, code quality, and delivery speed. • Design, document, and oversee the implementation of scalable, reliable, and secure systems, ensuring seamless integration between backend AI services and the user-facing product layers. • Ensure the team maintains a strong quality and automation culture by providing strategic direction to QA specialists and upholding high standards for testing and product stability. • Drive development across the full spectrum of product surfaces: APIs (GraphQL/REST), Web Applications (React/Angular/Vue), and specialized engagement layers. • Ensure efficient consumption of AI outputs by downstream systems, particularly through robust queue-based architectures (like RabbitMQ) and workflow automation (RPA). • Partner closely with Product Management, Data Science, and other engineering teams to translate business requirements into technical execution. About You Basic qualification: • Minimum of 2 years of experience managing and leading a software engineering team, specifically in an environment with cross-functional roles (e.g., managing both backend and frontend specialists). • Minimum of 5 years of hands-on experience in software development, engineering, or a related technical role. • Strong experience in backend development using Python/Node.JS • Demonstrated experience working with messaging queues for high-throughput, asynchronous processes. Experience with RabbitMQ is a significant advantage. • Proven ability to drive development across the full stack, including professional experience with a modern front-end framework (e.g., React, Angular, or Vue). • Expert-level knowledge and practical experience designing and consuming various API architectures, specifically GraphQL and REST. • Bachelor's degree in Computer Science, Engineering, or a related technical field. • Professional fluency in English (written and verbal) is required. Other qualification: • Experience with Python Celery or similar frameworks for managing asynchronous and long-running background tasks. • Familiarity with Kubernetes (k8s) environments and GitOps tools like ArgoCD for continuous delivery and deployment. • Experience designing and implementing complex, multi-step data or processing pipelines using tools like Argo Workflows, Airflow, Prefect. • Direct experience building or maintaining solutions that involve MS Teams/Slack bots/agents and/or RPA/workflow automation systems. • Previous experience in the HR Technology (HR Tech), Talent Acquisition, or Enterprise SaaS domain. • Proven experience in defining quality strategies, working with QA teams, and driving CI/CD pipelines. Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team As the leading provider of Talent Orchestration technology, HiredScore’s artificial intelligence, automation, and deep integrations empower the world’s most innovative companies to drive critical business outcomes in recruitment, diversity hiring, and internal mobility. Now part of Workday, HiredScore is seamlessly integrated into the Workday ecosystem, streamlining complex HR processes and delivering AI-driven insights that allow recruiters to focus on what matters most: top talent. At our Israeli site, we operate with an agile, high-trust culture. We believe our employees are our greatest asset, and we foster an environment of continuous learning, fast feedback, and collaborative problem-solving. The Opportunity We are looking for a Senior Backend Engineer to join the Sourcing Team within our Core Engineering group in Israel. This team is the architectural engine behind our candidate-matching solutions, finding the best roles for candidates and the best talent for organizations. You will lead the design of robust, scalable systems leveraging Python, React, Kubernetes, MongoDB, and Celery, while integrating MS Teams to create a seamless communication experience for recruiters and candidates alike. Work Model: Hybrid (3 days in-office, 2 days remote) at our Israel site. About the Role Architectural Leadership: Design and implement high-performance, scalable solutions for global enterprises using code generation. You will take full ownership of the lifecycle—from initial conceptualization and architectural design to implementation and global delivery. System Evolution: Drive the evolution of our distributed systems built on Kubernetes, ensuring they meet the demands of a rapidly scaling client base. Production Excellence: Set and maintain the gold standard for production systems. You will champion best practices in testing, observability, and proactive alerting to ensure mission-critical stability. AI Integration: Partner closely with Product Managers and Data Scientists to embed cutting-edge AI and machine learning capabilities into our core offerings. Technical Mentorship: Act as a force multiplier for the team. You will mentor and upskill fellow engineers, fostering their technical growth and execution potential through code reviews, design docs, and pair programming. Strategic Input: Bring your deep industry experience to our agile processes, helping the team adapt, grow, and innovate. About You Basic Qualifications • 5+ years of professional backend experience, with a focus on Python or JavaScript/TypeScript (experience in Java or Go is highly valued). • Familiarity with modern frontend frameworks like React or Vue. • A track record of designing and building complex, large-scale systems and high-concurrency architectures. • Deep experience with Kubernetes (K8s) and modern CI/CD pipelines. • Expertise in integrating third-party APIs and managing modern message brokers (e.g., Celery, RabbitMQ, Kafka). • Strong proficiency in both SQL and NoSQL (e.g., MongoDB, PostgreSQL) and data modeling for scale. • High efficiency in leveraging coding agents (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate the development lifecycle. • Self-driven with the ability to navigate ambiguity and partner effectively with both internal stakeholders and external development teams. Other Qualifications • Experience with platforms such as Argo Workflows or Airflow. • Hands-on experience building and maintaining robust ETL/data pipelines. • Demonstrated experience onboarding and mentoring junior and mid-level developers. Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team At Paradox, we believe when you get the people thing right, you can build teams that change the world. As part of Workday, we are laser-focused on building world-class products—backed by a decade of leadership in Conversational AI. Our Tel-Aviv R&D center is where deep experience meets next-generation technology. We aren't just experimenting with Large Language Models, we are deploying them at an unmatched global scale. We combine our historical data advantage with advanced LLM capabilities to directly influence the hiring experiences of millions of candidates worldwide. Sound like your perfect fit? We want to hear from you! About the Role As a Senior Applied AI Engineer, you will lead the bridge between cutting-edge AI capabilities and production-grade software. You will design, build, and optimize the intelligent systems, agentic workflows, and LLM-driven architectures that power Paradox’s conversational products. Also, you will combine software engineering rigour with state-of-the-art Generative AI techniques - optimizing for conversational quality metrics, latency, and system reliability in high-scale production environments, serving millions of users. We are looking for an engineer who is hungry for AI innovation, eager to pioneer new generative capabilities, and passionate about shipping impactful AI solutions. In this role, you will: • Design & Scale AI Systems: Architect and deploy high-performance LLM orchestration systems, agentic workflows, retrieval-augmented generation (RAG) pipelines, and AI microservices. • Bridge AI Research & Production: Transform frontier LLM research, foundation models, and generative techniques into robust, production-ready features with high availability and low latency. • LLM Evaluation & Guardrails: Design and implement automated LLM evaluation (evals) frameworks, benchmark suites, and guardrail policies to continuously measure accuracy, reduce hallucinations, and ensure safety across product flows. • Optimize Performance & Cost: Lead latency, throughput, and token-cost optimization strategies across commercial APIs and open-source models. • Set AI Engineering Standards: Elevate software craftsmanship across the team through architectural reviews, code quality, and LLMOps best practices, utilizing the latest AI tools. • Drive Product Innovation: Collaborate closely with product and engineering teams to translate complex human resource and conversational challenges into intelligent software solutions. About You Basic Qualifications: • Applied Generative AI: Proven track record of shipping complex LLM systems to production (e.g., Multi-agent architectures, RAG systems, tool/function calling, complex dialogue managers) coupled with a passion for continuous AI innovation. • 5+ years of hands-on software development experience, focusing on building complex, distributed systems. • System Architecture & Cloud: Strong system design skills in cloud-native environments (AWS/GCP), containerization, and modern CI/CD automation. • Engineering Quality for AI: Deep understanding of testing non-deterministic AI systems (eval-driven development, deterministic regression testing, automated benchmarking). • Technical Leadership: Proven experience leading architectural designs, driving cross-functional alignment, and mentoring engineers in AI engineering principles. • Fluent English: High proficiency in both written and verbal communication. • Work Authorization: Authorization to work in Israel. Preferred Qualifications: • Python Expertise: Deep proficiency in Python and modern backend framework development, with strong API design and asynchronous programming skills. • Vector Search & AI Infrastructure: Hands-on experience with Vector Databases (e.g., Pinecone, Qdrant, Milvus, pgvector) and modern orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen/CrewAI). • Model Customization & Fine-Tuning: Practical experience with model fine-tuning techniques (e.g., LoRA, QLoRA, SFT, DPO/RLHF) and dataset curation. • LLMOps & Observability: Hands-on experience with LLM tracing and observability stacks (e.g., LangSmith, Phoenix, Arize, Weights & Biases). • Inference & Serving: Familiarity with LLM serving engines and frameworks (e.g., vLLM, TensorRT-LLM, Ollama). • Domain Experience: Background in Conversational AI, Dialogue Management, or Recruitment/HR tech automation. • Data Science/ML Foundation: Formal background or practical grounding in NLP, Machine Learning, or Data Engineering. Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team As the leading provider of Talent Orchestration technology, HiredScore’s artificial intelligence, automation and deep integrations empower the largest and most innovative companies in the world to safely and transparently drive critical business outcomes in recruitment productivity, diversity hiring, internal mobility, and total talent management. HiredScore is designed to help companies match, rediscover, and engage talent more effectively. Seamlessly integrated with Workday, it streamlines processes, reduces administrative tasks, and delivers timely insights that enhance decision-making and free up time for meaningful interactions with top talent. We place great value on career growth, learning and collaboration. Employees are our #1 value! We are an agile organization, constantly looking for ways to improve with a focus on the value we deliver to our customers. We work closely with people to acquire fast feedback and achieve the right outcomes. At our Israeli site, we follow a hybrid work model with 3 days in the office and 2 days from home About the Role • Design, build, and improve ML-powered software products that deliver real value to users. • Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making. • Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant. • Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services. • Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration. • Collaborate with product, engineering, and research partners while learning from a strong technical team. About You Basic Qualifications: • 4+ years of experience as a machine learning engineer, data scientist, software engineer or in a related technical role. • Strong Python skills, with experience building, shipping, and maintaining production-grade code. • Solid software engineering fundamentals, including clean APIs, testing, CI/CD, observability, and maintainable codebases. • Practical experience working with large-scale data, data modeling, and production systems that support data-driven products. • Familiarity with machine learning, deep learning, and NLP concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow, or scikit-learn. Other Qualifications: • Bachelor’s degree in Computer Science or a related field; Master’s degree is a plus. • Experience with GenAI and LLMs. Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team At Paradox, we believe when you get the people thing right, you can build teams that change the world. As part of Workday, we are laser-focused on building world-class products—backed by a decade of leadership in Conversational AI. Our Tel-Aviv R&D center is where deep experience meets next-generation technology. We aren't just experimenting with Large Language Models; we are deploying them at an unmatched global scale. We combine our historical data advantage with advanced LLM capabilities to directly influence the hiring experiences of millions of candidates worldwide. At our Israeli site, we follow a hybrid work model with 3 days in the office and 2 days from home Sound like your perfect fit? We want to hear from you! About the Role As an LLM Engineer, you will be responsible for developing and implementing cutting-edge Large Language Model (LLM) technologies to create innovative hiring agents for Paradox’s global clients. In this role, you will: • Dive deep into LLM technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices. • Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients. • Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques • Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures. • Deeply understand product challenges to make intelligent and efficient software-building decisions. About You Basic Qualifications: • 4+ years of hands-on experience in Data Science/ML • Proven experience in developing agents and other LLM-based products • Experience with Python. • Experience with LLM evaluations • Experience developing with modern AI tools (Cursor/Claude Code/Codex/etc.) • Advanced knowledge of modern LLM practices (RAG/MCPs/etc.) • Passion for learning, staying current with innovative technologies, and thriving in a fast-paced, high-ownership environment • Fluent in English, including both written and verbal communication • Authorization to work in Israel Other Qualifications: • Bachelor’s Degree in Computer Science or other relevant fields, advantage for a M.Sc. • Experience with Conversational AI • Experience in software architecture design • Experience in a cloud-based environment and CI/CD flows Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role: As a Senior Product Manager, your role would involve end to end product management ownership, a combination of product discovery, PRD & tickets creation, communication, execution, working closely with engineering, research, analysts & partners teams. You would be responsible for driving the execution of the relevant engineering group and delivery of platform solutions that support the organization’s initiatives. Responsibilities • Collaborate with stakeholders to define requirements, product requirements and roadmap for Pagaya platform, aligning it with the company’s overall goals and objectives. • Lead the development and delivery of Pagaya underwriting infrastructure solutions, working closely with engineering teams, ensuring the timely execution of projects and adherence to quality standards. • Define and track key performance indicators (KPIs) to measure the effectiveness and impact of infrastructure solutions, making data-driven decisions for continuous improvement. • Communicate regularly with internal and external stakeholders, providing updates on the progress of projects, addressing their concerns, and managing expectations. Requirements • At least 5 years experience as a product management. • Software Engineering background. • Experience with API, cloud services, CI/CD technologies and infrastructure. • Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. • Ability to communicate effectively and create alignment with external stakeholders • Proven ability to lead cross- functional teams, collaborate effectively, and drive consensus among diverse groups of stakeholders. • Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Avon AI Avon AI is the management and control platform for enterprise conversational AI. Enterprises are deploying AI agents faster than they can govern them — Avon AI gives them one place to manage those agents and the knowledge behind them: continuous quality monitoring of real conversations, proactive testing and simulation before changes ship, knowledge-base management, and real-time guardrails that can sit inline in the conversation path to block, redact, or correct what an agent says. We are agent-agnostic: Avon AI works with agents our customers built themselves and with third-party agents they only integrate with — across any framework or vendor. Customers run us as SaaS on AWS, or deploy the full platform inside their own private cloud when regulation demands it. We're a small, fast-moving team with offices in Tel Aviv, working with enterprise customers in finance, healthcare, insurance, travel, and more. About the Role We're looking for a DevOps / Platform Engineer to own our infrastructure end to end- both sides of it. Side one is our multi-tenant SaaS on AWS: you build it, you run it, you keep it fast, secure, and up. Side two is the part that makes this role unusual — our enterprise customers deploy Avon AI inside their cloud (and sometimes fully air-gapped, on-prem environments). You'll own that too: packaging the platform, running the installation with the customer's infrastructure and security teams, and being the person on the call when their environment doesn't look like anyone's reference architecture. This is a customer-facing engineering role. You'll be in rooms with enterprise IT, security, and platform teams- walking them through our architecture, answering security review questions, and unblocking deployments. If you want a pure behind-the-scenes infra job, this isn't it. If you like owning infrastructure and being the trusted technical voice in front of a customer, read on. You'll be our first dedicated DevOps hire, which means you inherit real systems in production and a lot of room to shape how they evolve. Key Responsibilities • EKS, networking, data stores, CI/CD, cost, and uptime. Build and evolve it with Infrastructure as Code. • Maintain and improve our Helm charts and container distribution so Avon AI installs cleanly in a customer's Kubernetes cluster. • Plan and execute installations in customers' private clouds and on-prem/air-gapped environments, working hands-on with their infrastructure teams from kickoff through go-live. • Support security reviews and architecture discussions, and translate enterprise IT constraints back into our roadmap. • IAM, network segmentation, secrets management, WAF, and the controls enterprise customers audit us on. • Metrics, logs, tracing, and alerting for our SaaS, and self-contained monitoring for customers who won't ship telemetry outside their network. • CI/CD pipelines, ephemeral PR sandboxes, release automation, and local development so engineers ship quickly and safely. • For our SaaS tenants and for deployed customer installations, including on-call ownership of what you build Requirements • 4+ years as a DevOps Engineer, Platform Engineer. • Strong hands-on AWS- EKS, EC2, VPC, IAM, S3, Lambda, CloudFormation/CDK, WAF. • Deep Kubernetes knowledge- cluster architecture, networking, and real production debugging. Helm authoring is a must, not a nice-to-have: our charts are the product our customers install. • Infrastructure as Code- Terraform, CloudFormation, or equivalent, with a real automation mindset. • CI/CD ownership- GitHub Actions (preferred), Jenkins, or similar, including release and artifact pipelines. • Docker and container packaging- multi-service images, registries, and distribution to environments you don't control. • Strong scripting and automation- Python and Bash. • Monitoring and observability- Prometheus, Grafana, OpenTelemetry, DataDog, Coralogix, CloudWatch, or similar. • Excellent English, written and spoken, and genuine customer-facing skills — you can lead a technical call with an enterprise customer's infra and security team, explain an architecture clearly, and stay calm when a deployment is blocked. • Proven track record running highly available, production-grade, service-oriented systems. Our Pagaya Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role The Group Lead is a critical leadership position within Pagaya. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is Pagaya’s largest product). This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership. Responsibilities • Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists. • Defining and executing overall strategy, ensuring alignment with the company’s financial goals and product roadmap. • Oversighting of the group's projects, initiating new ideas and proactively improving the company’s abilities. • Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team. • Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability. • Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability. • Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions. • Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments. • Guiding the development, validation, and deployment of advanced predictive models to enhance performance. Requirements • 8+ years professional experience in Data Science or Data Analytics, preferably within FinTech. • Proven experience 5+ years managing and mentoring multidisciplinary teams of Data Scientists and Analysts in a fast-paced environment. • High-level understanding of statistical modeling, machine learning techniques, and optimization algorithms. • Master's degree or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Operations Research, or Computer Science. • Descent knowledge in programming languages (e.g., Python) and databases (SQL). Experience with cloud computing environments is a plus. • An authoritative leader who navigates high-stakes environments with strategic maturity and exceptional communication. Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions. As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. You’ll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the company’s understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment. You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making. Requirements • 2+ years of experience in a BI Lead or BI Team Lead role • 5+ years experience with BI/data analytics • Demonstrated expertise in working with BI platforms such as Looker or Tableau • Proven experience designing user flows e2e and user-friendly representations of data for various stakeholders • Experience with AI/ML tools or integrating AI into BI workflows • Proficient in SQL • Experience with ETL\ELT Solutions (e.g., DBT, Airflow, Riveri) • Great analysis abilities and strong business orientation • Capacity for systemic thinking and a proven ability to identify opportunities for operational efficiency • Capacity to multitask and prioritize effectively, thriving in high-pressure environments • Highly adaptable to a fast-moving workplace, full of energy, quick to learn, and driven by a "make it happen" attitude • Exceptional communication and storytelling skills Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role We are seeking a highly experienced, AI-obsessed AI Senior Backend Engineer to join our core Engineering department. In this newly created, cross-functional role, you will be the driving force behind the company’s internal AI transformation. You will act as the responsible for artificial intelligence, architecting, building, and deploying custom AI and automation systems from scratch to empower various departments and streamline operations. Key Responsibilities • Architect, develop, and deploy tailored AI systems and applications from the ground up to solve organizational challenges. • Identify process bottlenecks across different teams and design robust backend automation solutions to optimize daily workflows. • Lead the hands-on integration of modern Generative AI models, APIs, and frameworks into the company's internal infrastructure. • Build scalable, high-performance backend microservices and APIs to support heavy data processing and AI workloads. • Act as the technical AI focal point, partnering closely with internal stakeholders and department heads to gather requirements and deliver high-impact technological solutions. • Collaborate with product, DevOps, and other teams to ensure that AI solutions are aligned with user needs and business goals. Requirements • 8+ Years of hands-on Backend Software engineering experience. • Proven experience building LLM-powered applications, AI agents, or generative AI systems using modern AI frameworks. • Fluent in Python. • Familiar with cloud-native technologies (AWS, Docker, Kubernetes) • Demonstrated ability to design, build, and deploy secure backend systems and architectures entirely from scratch. • Self-driven and comfortable operating in a fast-paced environment — you don't wait to be told what to do next. • Strong collaborator with clear communication skills; you thrive in diverse, cross-functional teams. • Hands-on experience with multi-agent architectures or agentic evaluation frameworks. • Experience in high-scale cloud-native distributed systems. • B.Sc. in Computer Science or equivalent practical experience. Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role We are seeking an experienced, curious, and hands-on HR Business Partner to join our team based in TLV. In this role, you will be responsible for developing, planning, and building scalable HR processes, helping to lead change management initiatives while partnering with both leaders and employees. You will become an expert on your teams’ business and collaborate with managers to develop an insightful HR strategy, effective recruiting, training, and management. You will act as a communication champion while executing HR initiatives that drive operational effectiveness and growth goals, leveraging modern HR technologies and AI tools to optimize everyday practices. What You’ll Do • Trusted advisor: Be a trusted advisor to employees and managers and support their D2D needs including coaching executive managers, team building, and employee relations. • Process Design & Optimization: Serve as a strategic advisor on organizational design, workforce planning, talent management, and team effectiveness. Design, build, and optimize structured HR processes, using people data and metrics to shape and refine these processes. • Data-Informed Decision Making: Utilize People Analytics and key HR metrics to gain insights, identify trends, and proactively address matters of engagement, retention, and organizational health. • AI & HR Efficiencies: Explore and integrate AI-driven tools and automation into daily HR workflows (such as content creation, talent mapping, and process optimization) to enhance team productivity. • Talent Management: Lead talent processes including performance management, succession planning, and career development. Be a design partner to optimize hiring funnels, ensuring recruitment processes align with business growth goals and a holistic talent management strategy. • COE Collaboration: Collaborate with HR centers of excellence (Talent Acquisition, Compensation, etc.) to deliver integrated people solutions. • Employee Relations: Support employee relations efforts by providing guidance on policy, performance concerns, and conflict resolution. • Change Management: Champion change management initiatives to ensure smooth adoption of new processes, systems, and organizational changes. • Project management: Support and execute various projects within the HR domain. • Continuous Improvement: Continuously optimize the way we do things! What We’re Looking For • 5+ years of progressive HR experience as an HR Business Partner, with at least 3 years supporting senior leaders in fast-paced tech environments. • Process Mindset: Experience in building, structuring, and implementing core HR processes, with a proven ability to use data and insights to shape those methodologies. • Analytical Comfort: Strong understanding of People Analytics; ability to interpret and produce people data, track key HR metrics, and translate insights into practical action plans. • Tech-Savvy: Comfortable with adopting new technologies and an interest/experience in utilizing AI tools (e.g., GenAI) to streamline HR workflows. • Strong business acumen and the ability to link HR strategy to business objectives. • Excellent influencing, communication, and relationship-building skills. • Experience navigating organizational change and scaling processes in fast-paced environments using HR best practices. • Strong understanding of core HR functions including performance management, employee relations, talent development, and compensation. • Comfort operating independently, solving complex problems, and making sound judgment calls. • A proactive, collaborative mindset with an ability to balance strategic thinking and hands-on execution. Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role We are looking for a Senior Data Scientist to lead strategic research initiatives . This individual will be at the forefront of Pagaya’s research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department. Responsibilities • Spearhead strategic research of new cutting edge Machine Learning models • Mentor and advise data scientists. • Design solutions for the company’s core mission using Data Science methodologies from various domains • Work in a short life-cycle research and development environment • Generate and test working hypotheses in unexplored territory Requirements • 5+ years of experience in Machine Learning, working with tabular data on predictive modeling • Track record of translating research into business impact • MSc or PhD in a related field- Math/EE/CS/Physics/Stats • Great interpersonal skills, and strong collaborator • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Proficient in Python and the Data Science Stack • Independent and fast learner that can work alone and in teams • Ability to learn and explore new fields of expertise • Knowledge in some of the following can be an advantage: optimization, risk and finance Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role We are looking for a Lead Data Scientist to lead strategic research initiatives. This individual will be at the forefront of Pagaya’s research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department. Responsibilities • Spearhead strategic research of new cutting edge Machine Learning models • Mentor and advise data scientists in the Auto loans research team as well as across the research department • Design solutions for the company’s core mission using Data Science methodologies from various domains • Work in a short life-cycle research and development environment • Generate and test working hypotheses in unexplored territory Requirements • 8+ years of experience in Machine Learning, working with tabular data on predictive modeling • Track record of translating research into business impact • MSc in a related field- Math/EE/CS/Physics/Stats • Great interpersonal skills, and strong collaborator • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Proficient in Python and the Data Science Stack • Independent and fast learner that can work alone and in teams • Knowledge in some of the following can be an advantage: optimization, risk and finance Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

Description Kela is a defense technology startup pioneering next-generation command-and-control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence. Backed by leading investors, Kela combines Israeli innovation with global mission impact. This role involves getting our systems into the field and working, from site readiness and installation, through integration and commissioning, to formal acceptance and handover. Most of the work is from the offices, with travel to customer sites for surveys, deployments, and hands-on work. Requirements What you'll do • Plan and execute deployments: site readiness, hardware installation, network bring-up, edge compute provisioning, and stack integration (cameras, radars, networking, the Kela platform) • Prepare deployments before they leave the building: staging, imaging, configuration, pre-delivery testing, and kit verification • Integrate with customer infrastructure and third-party systems, and resolve the issues that only surface once the system is deployed. • Troubleshoot across application, infrastructure, and network layers under field conditions and time pressure • Hand over cleanly: train operators, deliver documentation, and make sure the site is supportable after you leave • Support deployed sites remotely - version rollouts, config changes, hotfixes - and escalate to R&D, systems, and algo when issues need to go deeper • Build and maintain the deployment runbooks, checklists, and tooling that turn a one-off into a repeatable process • Report field findings back to the product and engineering teams: what broke, what was missing, what should be different next time • Communicate clearly with customers and internal teams, especially when things are time-sensitive What we need • 3+ years in field deployment, integration, field engineering, or a similar hands-on role in mission-critical environments • Strong Linux fundamentals and hands-on experience operating and troubleshooting Kubernetes • Networking across the stack: complex topologies, cellular, satellite, VPN/overlay networks, with real experience debugging connectivity on live sites • Comfortable with hardware: racking, cabling, power, sensors, mounts, and the physical realities of a site • Proficient in Bash and Python for automation and one-off investigations • Hands-on with databases and storage: queries, diagnostics, understanding what's happening under the hood • Able to read code and debug logs to trace issues to root cause • Fluent with GitHub as a daily tool • Effective in the field: works methodically under pressure, in uncomfortable conditions, with incomplete information • Precise, analytical, and reflective: you draw conclusions from data, not instinct, and you make sure the same problem doesn't bite you twice • Strong ownership and a can-do mindset: you take initiative, drive tasks to completion, and finish the half-finished thing you walked past • Learns quickly and operates effectively in a fast-paced environment with shifting priorities • Clear communicator, in writing and on calls, with technical and non-technical people

Description Kela is a secure, open platform enabling rapid and seamless integration of commercial and military systems in service of Western defense. Designed and battle-tested by Israeli innovators, Kela ensures the West meets today's frontline challenges and evolves with tomorrow's innovations. Backed by leading investors, Kela combines Israeli innovation with global mission impact. About the Role Our Robotics department works across unmanned ground vehicles, humanoids, quadrupeds, and drones. We combine classical, modular policy stacks with modern physical AI — integrating and fine-tuning open-source foundation models, and designing and training our own perception, planning, and control modules where nothing off-the-shelf is good enough. We're looking for a world-class Senior Algorithm Developer to join the team. We need people who think big, move fast, and have a track record that proves they can take an algorithmic problem from a whiteboard sketch to a system running reliably in the field. Requirements Responsibilities • Research and develop algorithms spanning classical methods and deep learning. • Design and build perception, planning, localization, navigation and control modules for real, unstructured environments. • Integrate, adapt, and fine-tune open-source physical AI foundation models. • Own algorithmic pipelines end to end: data, simulation, training, evaluation, deployment. • Apply reinforcement learning and imitation learning to build robust, capable policies. • Build and run simulation environments to train and validate policies before field deployment. • Work closely with systems and software engineers to close the loop between algorithms and real-world performance. • Take ownership of problems end to end, from open question to fielded solution. Must-have • A proven track record of excellence — top academic background, competitive achievements, elite technological unit service, or high-impact work in industry — and the potential to become one of the strongest in the world in physical AI. • Several years of hands-on experience as an algorithm developer, with real seniority: someone who can own hard problems independently. • Strong foundations in classical algorithms and control, alongside real depth in modern deep learning. • A builder's mindset: comfortable with ambiguity, driven by hard problems, focused on real-world performance. • B.Sc./M.Sc./Ph.D. in Computer Science, Electrical Engineering, Robotics, Applied Math, Physics, or a related field from a leading institution. Nice-to-have • Hands-on experience with reinforcement learning and/or imitation learning. • Practical experience building data pipelines and simulation environments for training and evaluation. • Strong software engineering skills. • Experience integrating, fine-tuning, or deploying open-source foundation models. • Experience with robotics tooling (ROS/ROS2), simulators (Isaac Sim, Gazebo, MuJoCo), and deep learning frameworks (PyTorch, etc.). Why Join • Work across UGVs, humanoids, quadrupeds, and drones as the group grows. • Sit at the frontier of physical AI — shaping which approach wins for each problem, classical, learned, or hybrid. • Join a small, high-caliber team where your algorithms reach real robots in the field, fast. • Be part of a fast-growing, well-backed Israeli defense tech company with global impact.

Description You will be responsible for executing procurement activities end to end, from purchase request to materrial arrival,managing supplier relationships, and ensuring cost-effective, timely purchasing aligned with project and supply chain requirements. Responsibilities: Execute purchasing activities based on approved Purchase Requests (PRs) Issue Purchase Orders (POs) and manage order confirmations Negotiate pricing, lead time, and commercial terms with suppliers Maintain strong supplier relationships and monitor supplier performanceidentify cost-saving opportunities and propose alternative sourcing options. Manage RFQs (Request for Quotation) and supplier comparisonsTrack order status and proactively manage delays or supply issues Work closely with Project SCM to align procurement with project priorities Coordinate with Logistics for shipment planning and delivery tracking Support NPI with sourcing, AVL alignment, and component alternatives Ensure compliance with procurement policies, approvals, and documentation. Maintain high data accuracy in ERP systems (POs, suppliers, pricing, lead times)  Requirements • 7+ years of experience in direct procurement/purchasing/supply chain • Proven experience as a Buyer / Procurement Specialist in hardware-based companies • Hands-on experience with: Purchase Orders (POs), Supplier management, RFQ processes • Strong understanding of: Material flow & Supply chain processes end-to-end • Experience working with ERP systems (e.g., SAP, NetSuite, Priority, etc.) • Strong organizational skills, close attention to detail, and the ability to multitask. • Team player with good communication skills and a service-oriented approach.