Jobs in Herzliya
Job Description GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. About the Group General Motors Research Labs is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry globally. The Wireless Connectivity R&D group focuses on advancing both current and future connectivity technologies across cellular (4G/5G/6G), Wi-Fi, Bluetooth, UWB, and beyond. Our mission is to: • Improve real-world connectivity performance and reliability in production vehicles • Maximize customer satisfaction for connectivity-dependent applications • Explore new algorithms and system configurations across all layers of the communication stack • Contribute to future connectivity standards and architectures About the Role We are seeking a Senior Researcher - Wireless Connectivity & AI to drive innovation at the intersection of wireless communications, AI/ML, and automotive applications. This role combines deep technical expertise in wireless systems with advanced data-driven methods to unlock new capabilities and improve real-world performance beyond current limits. What will YOU do? • Analyze connectivity system performance using data collected from field deployments, lab measurements, and simulations • Benchmark performance against commercial off-the-shelf (COTS) devices and identify key performance gaps • Develop models and methodologies—leveraging AI/ML and analytical techniques—to improve connectivity robustness and user experience • Design and evaluate system-level optimizations for in-vehicle connectivity across multiple radio technologies • Influence next-generation connectivity architectures and standards with a focus on enhancing customer-facing applications • Collect, preprocess, and analyze large-scale connectivity datasets from simulations, lab measurements, and field deployments • Develop predictive models for: • Physical layer (link-level) performance • End-to-end system and network performance Your Skills & Abilities (Required Qualifications) • PhD in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field • Strong background in wireless communications, including: • Physical layer and higher-layer protocols • Cellular (4G/5G) and WLAN systems • Real-world deployment considerations and KPI trade-offs • Solid foundation in: • Signal processing • Probability and statistics • Optimization • Estimation and detection theory • Information theory • Proven experience in AI/ML, including model development and evaluation • Proficiency in programming: Python, MATLAB, C/C++ • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) What Will Give You a Competitive Edge (Preferred Qualifications) • Experience in applied research and transitioning ideas into practical solutions • Background in system-level simulations or real-world measurement campaigns • Familiarity with automotive connectivity use cases and constraints • Contributions to research or standardization (publications, patents, 3GPP/IEEE involvement) Why Join Us This is a unique opportunity to work at the forefront of wireless connectivity innovation, combining AI, communications, and real-world automotive applications. You will have the ability to influence both current vehicle performance and future industry standards, while working with a highly skilled, multidisciplinary team. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. About the Group At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, we are shaping next-generation autonomous driving, L3 and beyond. The AI Research organization is dedicated to advancing the state of the art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role As a Gen AI Staff Researcher, you will contribute deep technical expertise to a collaborative research team developing generative world models, with a focus on the design and large-scale training of diffusion models for autonomous driving. You will research and develop models that learn the dynamics of driving environments and generate realistic, temporally consistent, and controllable future scenarios, conditioned on sensor observations, actions, and scene context. You will contribute hands-on throughout the research lifecycle, from exploring new ideas to large-scale experimentation and implementation, advancing model architectures, training objectives, data strategies, and evaluation methods. As an expert member of the team, you will bring scientific rigor, share technical knowledge, and work closely with fellow researchers and partners in Perception, Behavior/Policy, Data, Simulation, and Validation to translate generative AI advances into measurable improvements in autonomy KPIs. You will also contribute high-quality publications at top-tier conferences and journals and collaborate with leading academic partners. At the GM Foundational AI Research group, your work will influence millions of drivers worldwide and define what’s next in autonomous driving. If you're passionate about solving hard problems and advancing the frontiers of generative AI and autonomous driving, we want you on our team. What will YOU do? • Contribute original research and technical expertise to generative world models, with a focus on diffusion-based modeling of driving environments and their dynamics. • Design, build, train, and evaluate large-scale diffusion models for video and multimodal generation, emphasizing temporal consistency, physical plausibility, and controllability. • Implement and optimize large-scale training on distributed, multi-GPU infrastructure, working with fellow researchers and engineering partners to improve training stability, throughput, memory efficiency, and scalability. • Develop action- and context-conditioned world models that generate diverse future scenarios and support counterfactual exploration, closed-loop simulation, and long-tail scenario coverage. • Develop and evaluate data and training strategies for fleet-scale datasets together with the team, including data curation, pretraining, fine-tuning, and targeted generation of challenging driving scenarios. • Develop and apply rigorous evaluation methods that connect generative quality, consistency, and scenario coverage to downstream KPI improvements for the autonomous driving agent. • Collaborate with engineering teams to translate state-of-the-art research into scalable solutions for simulation, synthetic data generation, and autonomy development. • Publish research at top-tier conferences and journals, track emerging advances in generative AI, and incubate technologies aimed at impacting our L3 autonomous driving technology. Your Skills & Abilities (Required Qualifications) • PhD in Computer Science, Electrical Engineering, Robotics, or a related field. Excellent M.Sc. graduates will be considered. • Over 3 years of research experience in generative AI, computer vision, machine learning, or related areas, with demonstrated depth of expertise and impactful contributions to complex research projects. • Deep expertise in diffusion models and hands-on experience designing, training, and evaluating generative models for images, video, or multimodal data. • Hands-on experience with large-scale distributed training of deep learning models, including training stability, performance optimization, and systematic experimentation. • Strong understanding of world modeling and spatiotemporal learning, including temporal consistency, conditioning mechanisms, and learning environment dynamics. • Strong publication record at top-tier AI/ML conferences and journals. • Excellent coding skills in Python and proficiency with modern AI frameworks such as PyTorch. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description General Motors Israel (Herzliya) plays a significant role in shaping the future of GM vehicles through cutting-edge software and advanced vehicle technologies. GM is committed to a vision of Zero Emissions, Zero Crashes, and Zero Congestion. About the Group Within Vehicle Camera Services, we build advanced camera-based solutions that support vehicle safety, driver assistance, and connected experiences for millions of drivers worldwide. Our domain includes rear view, surround view, connected camera capabilities, trailer and towing features, NCAP-related safety functions, and additional vision-based systems deployed across GM vehicle platforms. We are a pragmatic, execution-focused engineering organization working across continents, disciplines, and product domains. As our systems expand across platforms, programs, and architectures, we are looking for a highly senior software engineer who combines deep technical capability with broad organizational influence. About the Role We are looking for a Staff/Principal Software Engineer to join our team. This role reports directly to the Director of Software Engineering and is a senior technical leadership position for someone who is exceptionally strong in hands-on software engineering and can also drive meaningful change across multiple teams, domains, and technical layers. This person will operate across Android, RTOS, embedded systems, platform integration, and product delivery boundaries, helping shape direction, solve critical problems, and raise engineering execution across the organization. The right candidate has the technical depth to go deep into architecture and implementation, the judgment to navigate ambiguity, and the credibility to work directly with senior managers, directors, architects, and cross-functional leaders. They should be comfortable switching between senior technical leadership and direct hands-on work in code, debugging, design reviews, integration, and problem solving. What will YOU do? • Lead technically complex efforts across Android, RTOS, and embedded software domains within the vehicle camera organization. • Drive architecture, design, and implementation decisions for critical software systems and cross-domain integrations. • Stay close to the code and work hands-on in ambiguous, high-risk, or high-impact areas. • Identify and resolve systemic technical issues that span components, teams, or organizational boundaries. • Influence software direction across platform, application, integration, and vehicle-level concerns. • Partner closely with engineering leaders, architects, systems engineering, program teams, and global stakeholders to align technical strategy with execution reality. • Translate broad product or organizational needs into practical technical plans, engineering improvements, and measurable outcomes. • Raise the technical bar through design reviews, code quality expectations, engineering rigor, and strong technical judgment. • Drive improvements in development practices, integration approaches, debugging efficiency, and delivery predictability. • Mentor and influence engineers across the organization through technical excellence, clarity, and execution. • Help the organization make sound tradeoffs across speed, quality, scalability, maintainability, and vehicle/program constraints. • Contribute to software that ultimately runs in production vehicles and supports critical customer-facing and safety-relevant functionality. Your Skills & Abilities (Required Qualifications) • B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. • Over 10 years of hands-on software engineering experience building complex production systems. • Strong experience in embedded software development, including low-level debugging, performance analysis, and system integration. • Significant experience with Android and/or RTOS-based systems in production environments. • Strong proficiency in C++ and/or C in complex software systems. • Proven track record of driving technical outcomes across multiple teams or domains through influence, ownership, and execution. • Demonstrated ability to operate effectively in a senior technical leadership capacity, working directly with directors, senior managers, architects, and cross-functional leaders. • Strong software engineering fundamentals in system design, architecture, concurrency, debugging, performance, and maintainability. • Experience working in large-scale, cross-site, cross-functional software organizations. What Can Give You a Competitive Edge (Preferred Qualifications) • Experience in automotive, camera systems, computer vision pipelines, or safety-relevant embedded platforms. • Strong background in multi-domain systems that combine platform software, application logic, hardware-aware constraints, and vehicle integration. • Experience with software running on resource-constrained or real-time environments. • Familiarity with Android platform internals, middleware, BSP/system bring-up, or similar platform-level work. • Experience improving engineering effectiveness across organizations through better architecture, technical decision-making, tooling, development workflows, or integration practices. • M.Sc. or other advanced technical degree. Why this role matters This role is central to how we scale technical excellence in a growing and increasingly complex organization. It is an opportunity to shape both product and engineering direction, work on real systems that ship to vehicles, and have broad impact across critical camera and embedded software domains. This is the right role for someone who wants to stay deeply hands-on, operate at high scope, and lead through expertise, judgment, and execution. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
SLSQ128R17 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Strategic Enterprise Account Executive to join the team in Israel to maximise the phenomenal market opportunity that exists for Databricks. As a Strategic Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will report to the Senior Director, Enterprise Sales, Israel. The impact you will have: • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals • You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform • You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement • You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: • Extensive experience selling complex solutions to Enterprise Customers • You will have experience managing and leading complex, federated sales campaigns in major accounts • You will have experience working in Data, Cloud industries with some technical sales experience • Proof of exceeding sales quotas in high-growth Enterprise software companies • You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) • Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan • Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation • Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting • Bachelor's Degree or relevant work experience • Fluent Hebrew and business English is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R366 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have • Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. • Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. • Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. • Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. • Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. • Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. • Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. • Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. • Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: • Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. • Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: • Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. • Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. • Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. • Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for • Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. • Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. • Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. • Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). • Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. • Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. • Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. • Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. • Bachelor’s degree or equivalent practical experience. Preferred qualifications • Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. • Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. • Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. • Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. • Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. • Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
CONTRACTOR: Forward Deployed Engineer, Pendo Predict The team + the role Pendo Predict helps companies act on customer behavior before problems surface. We build custom predictive models — churn, upsell, expansion, and more — on top of product usage, CRM, and data warehouse data, and put those insights directly into the workflows of CS, Sales, and Product teams. By analyzing historical product usage alongside CRM and data warehouse outcomes, Predict forecasts which accounts are at risk, ready to expand, or likely to convert — surfacing intelligence where teams can actually act on it. As a Forward Deployed Engineer on the Predict team, you'll embed directly with customers and prospects to design, build, and ship predictive models inside their real-world data environments — and feed what you learn back into the product. This is a hands-on, hybrid role at the intersection of engineering, technical consulting, and customer-facing work. You'll own the technical side of the customer journey end-to-end: from pre-sales discovery and proof of value, through data modeling and integration, to enablement and adoption. SQL is a daily tool in this role. This is a contractor engagement based in Herzliya, Israel, working on United States EST hours. This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office. What this looks like day-to-day • Run technical discovery with customers to assess product analytics maturity, data availability, and business processes — and use that to set realistic implementation expectations and position Predict for their stage. • Work hands-on with customers to design the data model and define the business metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices. • Build and present compelling predictions in the prospect's own domain — explain methodology, model accuracy, and activation to earn credibility with technical stakeholders including data and data science teams. • Guide customer IT and data teams through integration steps, optimize model parameters for each customer's specific context, and diagnose and resolve blockers quickly — data quality issues, configuration gaps, and expectation misalignments included. • Help customer teams translate predictions into actions and playbooks; document how different teams (CS, Sales, Product) should respond to predictions for consistent, repeatable outcomes. • Identify and enable champion users to evangelize Predict internally — and channel field learnings back to Product and Engineering to shape the roadmap. Who you are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Forward Deployed Engineers don't just implement — they create momentum on problems that aren't fully defined, earn trust with technical and business stakeholders alike, and make sure what they learn in the field makes the product better. You're AI-curious — genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything: how you explore unfamiliar data schemas, how you build proof-of-value models, how you document customer environments for handoff. We want someone who sees AI as a multiplier, not a shortcut. Must-haves • 2+ years of experience in a pre-sales engineering, technical account management, or similar customer-facing technical role in B2B SaaS. • Strong, hands-on SQL — comfortable exploring unfamiliar schemas, building data models, and validating data quality in live customer environments. • Ability to run technical discovery and communicate complex concepts credibly to both business stakeholders and data or engineering teams. • Comfort with ambiguity and ownership — you can create momentum on problems that aren't fully defined without waiting for someone to scope it for you. • Excellent written and verbal communication skills in English. • Based in Israel and able to work hybrid from Pendo's Herzliya office; availability to work US EST hours is required. Nice-to-haves • Background in data, analytics, or BI — analytics engineering, data analysis, BI development, or data science. • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) and CRM data structures (Salesforce objects, Opportunities, renewal workflows). • Familiarity with product analytics tools such as Pendo, Mixpanel, or Amplitude. • Exposure to ML concepts including model training, evaluation, and explainability (e.g., SHAP values). About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office on US EST hours. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
The team + the role The Mobile SDK team at Pendo develops and maintains the Pendo mobile product — our native SDKs for iOS and Android, along with integrations across React Native, Flutter, MAUI, and CMP. We work deep in OS internals, maintain rigorous automation and release pipelines, and collaborate closely with customers to ensure their success with the product. A single defect in our SDK can affect thousands of host applications, so quality isn't a value we aspire to — it's the baseline we ship against. Pendo's mobile SDK enables businesses to collect detailed analytics and visual session replays on user behavior within their mobile applications — without extensive coding. That data helps customers understand how users interact with their apps and enables delivery of targeted in-app messages and guides that improve experience and drive adoption. As a Software Engineer on this team, you'll work on a product that is technically demanding, customer-visible, and genuinely consequential. You'll use AI coding tools as a core part of your workflow — and apply the same engineering rigor and review discipline to AI-generated code as you would to anything written by hand. This role is based in Herzliya, Israel and follows Pendo's in-office model: in-office 3 days per week. What this looks like day-to-day • Design, implement, and maintain new SDK features, ensuring seamless integration with the broader Pendo mobile product across iOS and Android. • Dive deep into OS internals to optimize performance, troubleshoot issues, and ensure the SDK functions correctly across all supported devices and OS versions. • Contribute to SDK development across mobile frameworks — Flutter, React Native, MAUI, and CMP — ensuring compatibility and performance in each environment. • Use AI coding tools (Cursor, Claude Code) as a core part of your daily workflow; apply strong engineering judgment and review rigor to AI-generated code before it ships, holding it to the same bar as hand-written code. • Write clean, efficient, maintainable code with a strong focus on quality — developing unit tests, implementing automated testing, and participating in code reviews. • Provide technical support to international customers: troubleshoot issues, guide them through solutions, and lead live conversations with adequate English proficiency. • Partner closely with product managers, designers, customer-facing teams, and other engineers to align on goals and deliver the best possible mobile experience. Who you are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Mobile SDK engineers don't just implement to spec — they understand the host application context their code runs inside, anticipate failure modes, and hold the quality bar high because they know the downstream consequences when they don't. You're AI-curious — genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it — and you bring the judgment to know when to rely on AI output and when to verify, correct, or reject it. In SDK work, that distinction matters: AI-generated code that looks right and ships wrong can break thousands of production apps. We want someone who sees AI as a multiplier and applies the same rigor to its output as to their own. Must-haves • 3–4+ years of experience in iOS or Android app development and/or mobile SDK development, including 2+ years of hands-on experience with Objective-C or Kotlin. • Deep understanding of either the iOS or Android platform — performance optimization, memory management, and behavior across OS versions and device types. • A genuine passion for mobile development and the flexibility to work across different frameworks and environments as the product evolves. • Strong English verbal communication skills and a customer-centric mindset — you can lead a live troubleshooting conversation with an international customer clearly and confidently. • Strong collaboration skills: you work well with experienced engineers and cross-functional teams and communicate clearly across disciplines. • A bachelor's degree in Computer Science or a related field, or equivalent practical experience. Nice-to-haves • Prior experience developing and maintaining mobile SDKs specifically — not just mobile apps. • Hands-on development experience with Flutter, React Native, Xamarin Forms, or MAUI. • Experience setting up and maintaining CI/CD pipelines for mobile applications or SDKs. • Knowledge of mobile security best practices and data protection standards. • Practical, day-to-day use of AI coding assistants (Claude Code, Cursor, or similar) in a professional development workflow. About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote. Benefits: Premium, day-one benefits across health, pension, meals, and lifestyle — plus strong in-office perks and financial upside. Compensation: Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Sr. Product Manager, Mobile SDK — 9-Month Fixed-Term The team + the role Pendo's mobile SDK is embedded in hundreds of enterprise applications — native iOS and Android, plus React Native, Flutter, .NET MAUI, and Ionic/Capacitor — delivering analytics, in-app guides, and session replay to over 110M monthly active users. It is a developer-integrated product at an inflection point: hybrid framework parity, cross-surface guide delivery, and version fragmentation across an installed base that cannot be forced to upgrade are all live, unsolved problems with revenue implications. We're looking for a Sr. Product Manager to own Pendo Mobile end-to-end for nine months while our current PM is on maternity leave. This is a full mobile role with no secondary product area. You'll own the SDK roadmap, run live enterprise escalations, and make the architectural and commercial tradeoffs that protect at-risk revenue. This role requires SDK product experience specifically — not mobile app PM experience. The distinction matters: you're shipping software that other companies' engineering teams integrate into their own production applications, on their release cycles, with their performance budgets, and with their users affected when something goes wrong. We need someone useful in week two, not month two. This is a full-time Pendo employee position with full benefits for the nine-month fixed-term. This role is based in Herzliya, Israel, in-office 2–3 days per week. What this looks like day-to-day • Own the mobile SDK roadmap end-to-end: release planning, versioning and deprecation strategy, and driving version adoption across a fragmented installed base — a shipped fix isn't a delivered fix until customers upgrade. • Bring Mobile into Pendo's AI surface: from AI tagging to agentic installation, AI guide building extensions, and exposing mobile behavioral data through Pendo's MCP so customers' own agents can use it. • Run the escalation motion: own the weekly customer status update, triage sev-level issues with Engineering and Support, and lead customer communication when the SDK is implicated in a production incident. • Deliver named enterprise commitments on schedule — offline guide serving, hybrid app guide delivery, and session replay payload reduction all have dates attached. • Protect at-risk ARR: $3M+ of mobile revenue is exposed to SDK capability gaps across hybrid architectures; partner with CE, CSM, and Sales on renewal-critical accounts. • Own cross-platform unification and developer experience — close hybrid framework gaps, solve cross-surface guide delivery across the native/WebView boundary, and reduce the integration cost for customers' engineering teams. Who you are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great PMs don't manage backlogs — they make architectural and commercial calls that show up in renewal conversations within weeks. You'll join a product mid-flight, take ownership fast, and be the named PM on every active customer issue before the end of your first month. You're AI-curious — genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything: how you synthesize escalations, how you reason about where AI genuinely improves a workflow versus where it's decoration, how you move from insight to decision in a matrix organization operating heavily on async Slack. This is how the team operates. Must-haves • 5+ years of B2B SaaS product management in a multicultural and global organization. • 3+ years owning an SDK or developer-integrated product as the PM — with command of versioning and release strategy, backwards compatibility and deprecation, adoption across a fragmented installed base, and crash impact on software you do not control. This is a hard requirement. • Mobile platform fluency: native iOS and Android, and the practical differences between hybrid frameworks from an integration standpoint. • Demonstrated AI product judgment — you've shipped an AI-powered capability or can reason clearly about where AI improves a workflow versus where it adds noise; you use AI tooling actively in your own work. • Escalation temperament: you've owned sev-level escalations where your SDK caused a production issue in a customer's app and stayed credible through it. • Enterprise customer-facing skill in English, with large regulated accounts and their engineering teams; comfort operating in a matrix organization with US stakeholders and heavy async communication. • Available to start as soon as possible and committed to the full nine-month term. Nice-to-haves • Experience with product analytics, session replay, crash reporting, or digital adoption platforms. • Hands-on background in mobile engineering before moving into product. • Experience joining a product mid-flight and taking ownership quickly — an interim, transition, or turnaround assignment. • Experience running a design partner or early-access programme with enterprise engineering teams. • Previous experience with Pendo or comparable mobile SDK tooling. About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: This role is based in Herzliya, Israel, in-office 2–3 days per week. This is a nine-month fixed-term, full-time Pendo employee position with full benefits. Benefits: Premium, day-one benefits across health, pension, meals, and lifestyle — plus strong in-office perks and financial upside. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
About the Team This team builds an AI-native predictive analytics platform that embeds ML and AI-driven insights directly into production Go-To-Market workflows — powering real-time decisions at scale. The team owns the full stack from distributed data pipelines and backend services to ML and AI-powered capabilities that ship directly to customers. We are building toward a model where AI components are first-class runtime dependencies, not bolt-on features. Agentic AI development is a core part of how we increase engineering velocity and deliver customer value. This is a team that ships daily, iterates constantly, and treats speed as a capability to be deliberately improved. The Role This is a high-ownership, builder-first Sr. Software Engineer role. You will design, build, and ship AI-integrated data systems from concept through production — owning outcomes end-to-end, including deployment, monitoring, cost, and business impact. We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI. What You Will Build • AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role — not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space. • Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation — not through avoidance. • AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency — architecture and capability tradeoffs, not surface-level awareness. • End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes. • Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes. • Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness — understand how your systems impact revenue, customer outcomes, and strategic priorities. What You Bring Required • 5+ years building and shipping production-grade back end and data systems in distributed cloud environments (AWS and/or GCP). • Hands-on AI/ML integration in production workflows. You have shipped systems where AI, LLM, or agent-based components are part of the production runtime — not just prototypes or research. You can speak to the architectural tradeoffs of integrating AI into live backend systems. • Active use of AI-assisted development tooling as a workflow multiplier. You currently use AI tooling (Copilot, Cursor, or equivalent) to accelerate your engineering output and can articulate specifically how it increases your throughput. You stay current on relevant tooling without being directed to do so. • Strong back end expertise in Java (Spring Boot), Python, and/or Go. Hands-on experience with relational and non-relational databases, data modeling, and query optimization. • Demonstrated expertise in automated testing, CI/CD, and observability. • High-Velocity ownership - candidates should thrive in high-ownership, builder-first environments where shipping daily and owning outcomes are fundamental to the role. • Demonstrated ability to break work into small, incremental deliveries and maintain strong delivery flow. You have a track record of decomposing complex work into small, safely mergeable increments and shipping software solutions to solve customer pain continuously. You can describe your approach to scope deconstruction and provide concrete examples. Preferred • Experience shipping ML-Ops powered systems in production (model serving, monitoring, retraining pipelines). • Experience with distributed data technologies (e.g., Parquet, Athena, or similar query engines). • Experience making and documenting architectural decisions autonomously (ADRs or equivalent lightweight decision records). Pendo Description: Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is passionate, dynamic, and fun. EEOC We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Compensation Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.
Position Summary Samsung Research Israel (SRIL), part of Samsung Electronics (SET), operates at the forefront of technological innovation through its two main hubs: Advanced R&D & Open Innovation. These activities focus on developing cutting-edge technologies to shape the future of Samsung Electronics. SRIL actively collaborates with Israeli high-tech companies and academic institutions to integrate advanced solutions into Samsung’s products, while also developing innovative technologies in-house. We lead advanced research in artificial intelligence, optics, and machine learning, aiming to deliver world-class technology with a global impact. Position Overview We are seeking a researcher with a strong theoretical and hands-on background in optics and experience applying machine learning, computer vision, and deep learning to imaging problems. This role combines research in optical systems, imaging physics, and AI with industrial applications. The researcher will contribute to next-generation camera technologies, computational imaging, and image enhancement by connecting the physical image-formation process with advanced computational methods. Role and Responsibilities · Conduct research at the intersection of optics, computational photography and machine learning for advanced camera systems. · Model and analyze image formation, including optical propagation, diffraction, aberrations, sensor response, and noise. · Develop ML/DL algorithms for image reconstruction, restoration, enhancement, and understanding, incorporating physical models and optical-system constraints. · Investigate generative AI and diffusion models for imaging applications, including physically informed image reconstruction and synthesis. · Design and conduct optical experiments, simulations, and algorithmic prototypes to validate research hypotheses and optimize imaging performance. · Collect and analyze experimental image and video data, connecting laboratory measurements with simulation and model evaluation. · Collaborate with optical, sensor, and algorithm teams to assess system-level trade-offs and translate research into practical imaging solutions. · Stay current with research in electro-optics, computational imaging, physics-informed learning, and computer vision. · Document and present research outcomes internally and in global collaboration meetings. Skills and Qualifications · M.Sc. or advanced-stage PhD candidacy, in Physics, Applied Physics, Electro-Optics, Optical Engineering, Electrical Engineering, or a closely related field, with research focused on optics or imaging. · Strong background in both electro-optics and physics, demonstrated through academic research or relevant industry experience. · Solid theoretical knowledge of wave and geometrical optics, diffraction, optical image formation, and light–sensor interactions. · Hands-on experience with optical or electro-optical systems, including experimental setup, measurement, characterization, and analysis. · 2–5 years of relevant research experience in electro-optics, computational imaging, or physics-based imaging, in academia or industry. · Practical experience applying machine learning, computer vision, or deep learning to imaging problems. · Understanding of deep learning architectures relevant to imaging, such as CNNs, transformers, or generative models. · Proficiency in scientific programming and numerical analysis using Python and/or MATLAB, with experience in a deep learning framework such as PyTorch or TensorFlow. · Ability to independently design experiments, interpret physical phenomena, and connect theoretical models with measured results. · Excellent communication and collaboration skills in a multidisciplinary R&D environment. Preferred Qualifications · Experience in computational photography, inverse imaging problems, or joint optimization of optical systems and reconstruction algorithms. · Experience with camera systems, CMOS image sensors, optical-system characterization, or imaging-system calibration. · Familiarity with optical simulation and design tools such as Zemax or Code V. · Experience with physics-informed learning, differentiable imaging models, or simulation-to-real methods. · Experience with diffusion models or other generative approaches for image restoration, enhancement, or synthesis. · Publications in relevant optics, imaging, computer vision, or machine learning venues. Our Offering · A chance to work on cutting-edge electro-optical, computational imaging, and AI technologies that influence Samsung’s products worldwide. · Exposure to world-class researchers and engineers in a collaborative, innovation-driven environment. · Access to advanced computing resources and imaging labs. · Flexible engagement suited to an advanced-stage PhD student or postdoctoral researcher. · Mentorship, professional growth, and the opportunity to contribute to high-impact global R&D projects. Please note that, throughout the interview process, we ask all candidates to refrain from sharing any confidential, proprietary, or trade-secret information belonging to their current or former employers or any other third party. We are interested in your skills, experience, and accomplishments, and ask that you describe them without disclosing information that is not yours to share. * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
Position Summary Samsung Research IL is seeking for a skilled and innovative Senior Engineer – DL & 3D CV, to lead the development of next-generation computer vision, deep learning, and generative AI features. This role focuses on state-of-the-art solutions for advanced 3D machine vision and camera innovation, including 3d reconstruction/sensing/mapping, novel camera/image processing/enhancement and simulations. The engineer will join Samsung’s newly formed Camera Innovation R&D Team. Our screening process: 2 -3 professional peer interviews Hiring Manager Interview HR Interview Reference check Managing Director Interview Why Join Us? • Opportunity to shape a newly structured research and innovation team. • Opportunity to explore DL/3D CV/GenAI SOTA models and workflows • Opportunities to publish research, generate IP, and influence long-term technology direction. Role and Responsibilities • Prototype/research/develop advanced DL/3D CV/GenAI algorithms for various use-cases such as camera imaging, robotics and simulation • Manage the full lifecycle of DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions. • Optimize models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints • Guide the adoption of emerging technologies to elevate Samsung’s new solutions. • Stay at the forefront of developments in deep learning/computer vision/GenAI • Contribute to technology roadmaps and R&D investment decisions Skills and Qualifications • MSc/PhD in Physics/EE - must • 8+ years of experience in DL/3D CV, with a proven track record of developing solutions from research to production - must • Proven in-depth experience with at least one of the following: * Diffusion-based GenAI * Embodied AI * DL-based CV/Image processing (e.g., segmentation, image restoration, monocular depth estimation) * Vision-Language Models * Physics Informed Neural-Networks (PINN) • Strong programming skills in Python, PyTorch, and OpenCV • Strong applied software engineering skills, with experience in agile methodologies and quality-driven development. • Strong problem-solving skills, with the ability to navigate technical challenges and deliver innovative solutions. • Experience with rapid AI-first R&D • Advantage : experience with theoretical physical modeling/ simulation • Advantage: Experience with edge computing platforms (e.g., NVIDIA Jetson) and real-time system optimization. • Advantage: Extensive hands-on experience in developing and deploying DL-based software applications for camera systems, image processing, or video analysis. • Advantage: Experience with simulators (Gazebo, Isaac Sim, Unity) and real-world testing. * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. About the job We are looking for a SecOps Engineer to join our cybersecurity team. In this role, you will help defend the organization end-to-end across cloud, endpoints, identities, and applications while building and maturing our security operations capability. You will work across SIEM and telemetry, detection engineering, alert investigation, threat hunting, digital forensics and incident response, threat intelligence, and response automation. You will partner closely with IT, DevOps, Application Security, R&D, and business stakeholders to turn security signals into effective action and lasting improvements. This is a hands-on role for someone who enjoys investigating complex problems, improving controls, and building repeatable security operations in a growing environment. The role may participate in an on-call rotation and occasional after-hours incident response as required. Responsibilities • Operate and improve the security operations stack — SIEM, identity, endpoint, cloud, and application telemetry — including log source onboarding, health monitoring, and coverage-gap remediation. • Investigate security alerts and threats through triage, host and artifact analysis, DFIR, and threat hunting. • Lead incident response from detection through containment, recovery, and post-incident review. • Build and tune detection rules, SIEM queries, and dashboards for high-risk attack paths, and convert threat intelligence into new detections, hunts, and control improvements. • Automate response and enrichment workflows by using AI tools, scripting (Python, Bash, PowerShell), or SOAR tools to cut response time, and report incident metrics — root cause, impact, and remediation status. • Support security reviews of vendors, SaaS platforms, and internal applications, and partner with engineering to validate whether existing controls detect and mitigate relevant threats. • Support security monitoring and response for AI-enabled workflows and artifacts where applicable, including agentic tooling, integrations, and related operational risks. • Use AI-assisted triage and anomaly-detection models to prioritize alerts and cut time-to-detect across SIEM and endpoint telemetry. • Develop agentic workflows to speed up evidence correlation, RCA, timeline reconstruction, and case write-ups during investigations. • Evaluate AI agentic investigation tools for accuracy and performance and use the results to fine-tune and further enhance the automated playbooks. Requirements • 3+ years of hands-on experience in security operations, incident response, detection engineering, or a similar cybersecurity role. • Strong practical experience with IT security, endpoint protection, identity security, and security operations. • Hands-on experience with SIEM platforms, including alert triage, investigation, query development, dashboards, and detection tuning. • Solid understanding of cloud security and practical experience with one or more major cloud platforms, including identity, logging, network, and workload security concepts. • Experience with incident response and DFIR workflows, including host-based and artifact analysis on Windows, Linux and macOS. • Proficiency in Python, Bash, PowerShell, or similar scripting languages for automation and operational tooling. • Familiarity with SOAR platforms, automated playbooks, alert enrichment, and response workflows. • Strong written and verbal communication skills, with the ability to collaborate across DevOps, IT, R&D, security, and business teams. • Ability and willingness to participate in occasional after-hours response when required by a material security incident. • Strong familiarity with AI tools and experience putting them to work in security investigations. Nice to have • Experience building detections and incident-response capability in a growing or cloud-native organization. • Experience with threat hunting, malware analysis, host forensics, and mapping activity to common adversary tactics, techniques, and procedures. • Experience with containerized or cloud-native architectures, identity providers, and modern endpoint security platforms.
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. In this fast-paced, dynamic environment, you’ll have the opportunity to make a meaningful impact on the future of work. If you’re a self-starter who thrives on innovation, takes ownership, and is committed to excellence, we’d love to hear from you. As part of our team, you’ll have access to the resources, support, and ongoing professional development opportunities you need to grow and succeed. You will: • Bring a data-driven mindset to defining goals, setting priorities, and establishing clear milestones. • Understand and analyze complex technical infrastructure, identifying how different systems and components interact. • Develop bold, innovative product ideas and translate them into impactful solutions to address customer needs. • Identify underlying customer needs, synthesize research and insights, and clearly define the problems worth solving. • Leverage AI tools to accelerate product discovery, synthesize customer feedback, analyze information, and improve the quality and efficiency of product decision-making. • Identify opportunities to incorporate AI capabilities into products and workflows, evaluating their potential value, feasibility, and impact on customers. • Collaborate closely with cross-functional teams to deliver high-quality products and outcomes. • Communicate complex ideas clearly and confidently, including engaging in in-depth technical discussions with engineers to evaluate trade-offs and technical approaches. • Take ownership of product challenges, proactively identify opportunities for improvement, and drive initiatives from concept to execution. Requirements • 4+ years of experience as a Product Manager or Technical Product Manager at leading SaaS companies, ideally in high-growth environments with a strong track record of product excellence. • Experience building and launching highly scalable, reliable services is a strong plus. • Demonstrated ability to use AI tools effectively in day-to-day work to improve productivity, research, analysis, and decision-making. • Understanding of AI capabilities and limitations, with the ability to critically evaluate AI-generated outputs and apply sound judgment when using them. • A high bar for quality and excellence in your own work, your team’s contributions, and the products you help build. • A proactive, action-oriented mindset, with strong collaboration skills and the ability to simplify complex concepts and communicate them effectively. • A hands-on approach and willingness to dive into the details to solve problems and drive results. • A strong customer-centric mindset, with a proven track record of navigating complex product challenges and driving solutions that improve customer satisfaction. • A BA/BS in Computer Science or a related field. • Strong technical understanding, with the ability to navigate from high-level system architecture and abstractions down to underlying
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. The Enterprise Account Manager is a key player responsible for nurturing and growing client relationships within our enterprise-level accounts. Collaborating with the Account Management Regional Lead, you'll drive revenue generation, manage partnerships, and contribute to RFPs. Responsibilities • Build and maintain strong client relationships, manage partnerships, and work with internal teams to resolve escalations and meet SLAs. • Drive revenue growth by identifying upsell and cross-sell opportunities within client accounts and supporting the implementation of new solutions. • Deliver exceptional service by addressing client needs, resolving issues, and conducting regular business reviews to understand priorities and future goals. • Support RFPs and RFIs by contributing to proposals and participating in customer presentations alongside the Sales team. • Achieve individual and team KPIs, monitor account health, identify risks and opportunities, and proactively address challenges. • Leverage AI tools to enhance account planning, customer communications, business reviews, risk identification, and operational efficiency. • Optimize client interactions and account management processes using playbooks and best practices, and recommend improvements based on customer feedback and business outcomes. Success in this Role The ideal candidate combines strong relationship-building skills with a modern AI-enabled approach to account management. They leverage technology to work smarter, strengthen customer relationships, and drive successful business outcomes for both customers and Papaya. Requirements • Bachelor's degree in Business, Marketing, or a related field. • 5+ years of experience in Account Management or Customer Success roles. • Strong sales acumen with a demonstrated track record of driving growth within existing customer accounts. • Excellent interpersonal and communication skills. • Strong analytical and problem-solving abilities. • Knowledge of Payroll, HRIS, or Fintech industries. • Proficiency with CRM software, project management tools, and AI-powered productivity solutions. • Demonstrated ability to leverage AI tools to improve customer engagement, business analysis, communication, and operational efficiency. • Client-focused with a passion for outstanding service. • Strong organizational and time management skills. • Collaborative team player adaptable to a fast-paced environment.
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. About the role We are looking for a creative, hands-on Creative Community & Events Builder to help establish, grow, and maintain a vibrant global professional community around Papaya Global - through both digital channels and memorable real-world experiences. Reporting to the Event Marketing Lead, you will create thoughtful event and community experiences across Papaya’s global event portfolio while building meaningful engagement with our audiences, partners, and customers. This is more than an event logistics or community-management role. You will combine strong execution and project coordination with creativity, curiosity, and a genuine desire to bring people together. You will help shape how Papaya shows up in the market through events, online community engagement, field activations, executive experiences, and creative brand moments. Responsibilities • Help establish, grow, and maintain Papaya Global’s professional community and event presence across relevant channels, platforms, and markets. • Create and manage a community and events engagement calendar, including content, conversations, member communications, virtual sessions, events, and follow-up activity. • Welcome and engage community members and event audiences; encourage meaningful discussion and connections with Papaya experts, content, events, and one another. • Track community and event feedback, recurring questions, and engagement signals, turning insights into ideas for content, programming, and experiences. • Own selected events end to end, including community events, field activations, executive dinners, partner events, webinars, and targeted prospect experiences. • Support larger global event programs, including trade shows, Papaya-led events, and strategic partner events. • Build event plans, timelines, budgets, checklists, run-of-show documents, attendee journeys, and post-event reports. • Develop and execute creative experiences, including gifting, signage, engagement moments, and branded event materials. • Support invitations, registration pages, attendee lists, event communications, decks, signage, and social assets. • Work closely with Marketing, Sales, Customer Success, Partnerships, and Design to create relevant experiences for priority audiences and markets. Requirements • At least 1 year of experience in B2B events, field marketing, community marketing, experiential marketing, community management, or a similar role. • Experience supporting or owning events, activations, or community initiatives from planning through execution and follow-up. • A genuine interest in creating engaging events, building online communities, and starting conversations people want to join. • Strong organizational and project-management skills, with excellent attention to detail. • A creative eye and interest in building fresh, human, and memorable experiences. • Confidence working with vendors, agencies, venues, and cross-functional teams. • Excellent written and verbal English communication skills. • A proactive, practical, hands-on attitude—you enjoy taking an idea and making it happen. • Comfort working in a fast-paced global environment. What success looks like • Papaya has an active, well-maintained online community with consistent, valuable engagement. • Community members and event audiences feel welcomed, informed, and connected to relevant people, content, and experiences. • Events and activations are delivered smoothly, on time, and with a strong attendee experience. • Papaya’s presence across events, community, and field experiences feels creative, polished, and on brand. • Community, event, and field initiatives create meaningful engagement with priority audiences. • Insights from the community and events strengthen relationships, pipeline, and broader go-to-market goals.
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn revolutionizing the payroll, EOR and payments industry. With over $400M raised from top-tier investors, we offer an innovative, comprehensive solution for managing global workforces, spanning from hiring and onboarding to managing and paying employees in over 160 countries. We are seeking a highly skilled and innovative GEO & SEO Manager to own our website’s organic growth, visibility, and optimization. This role combines GEO, SEO, and webmaster responsibilities, with a focus on both driving traffic and increasing conversions. You will work closely with developers, content creators, and the broader marketing team to ensure Papaya Global’s online presence is optimized for traditional search engines as well as AI-powered search platforms like ChatGPT, Perplexity, Gemini, and Claude. What You’ll Do GEO & SEO Strategy • Own and lead the GEO/SEO roadmap to drive measurable growth in organic visibility and lead generation. • Develop and execute strategies for traditional SEO, entity optimization, structured data, and AI search visibility. • Stay ahead of search and AI trends, monitoring competitors and testing innovative techniques. • Conduct regular website audits (technical SEO, structured data, site health, speed, security) and oversee implementation with developers. Web Management & Optimization • Manage and prioritize the marketing website roadmap, aligning development resources with business goals. • Ensure content is optimized for both search engines and user experience: keyword research, entity alignment, site structure, and content embedding. • Upload, publish, and manage content via WordPress (and other CMSes as needed). • Implement conversion rate optimization (CRO) best practices to improve visitor-to-lead performance across Papaya website. Analytics & Reporting • Track and analyze KPIs including organic traffic growth, keyword/entity rankings, brand visibility, AI-search presence, and conversion metrics. • Provide clear reporting and actionable insights to marketing leadership and cross-functional teams. • Monitor share of visibility: brand mentions, query presence, and AI-overview inclusion. Why Papaya Global? At Papaya, you’ll be at the forefront of GEO and SEO innovation, shaping how a global B2B brand is discovered across both traditional search and AI-powered platforms. You’ll join a dynamic team where your impact will directly influence our growth, brand visibility, and customer acquisition worldwide. Requirements • 3+ years of proven success in international SEO/technical SEO with measurable B2B impact. • Expertise in AEO/GEO (Answer Engine Optimization), entity SEO, structured data, and AI-driven search. • Strong experience with SEO tools: Google Search Console, GA4, SemEMrush, Ahrefs, and Screaming Frog. • Solid data analysis and reporting skills (Excel/Sheets, BI tools). • Hands-on CMS experience (WordPress required; HubSpot and Salesforce are an advantage). • Strong project management, multitasking, and organizational abilities. • Excellent communication skills for cross-team collaboration and stakeholder reporting. • A proactive, detail-oriented team player with a “can-do” attitude and a passion for staying ahead of SEO trends.
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. We are seeking a highly motivated Implementation Manager to join our Client Services team. In this role, you'll act as the primary point of contact for new clients, guiding them through every phase of the implementation process—from initial discovery to go-live. Success in this role requires exceptional project management skills, a detail-oriented mindset, and a passion for helping clients unlock the full value of our platform. The ideal candidate also has an AI-builder mindset and is able to leverage AI-powered workflows and automations to improve implementation efficiency, customer experience, and operational processes. Key Responsibilities Client Onboarding & Project Management • Lead end-to-end client onboarding, including initial discovery, platform configuration, data migration, testing, and go-live support. • Develop and manage comprehensive project plans, ensuring milestones and deadlines are met across all phases of the implementation. • Collaborate with client stakeholders to understand business needs and payroll requirements, tailoring solutions accordingly. • Maintain consistent, proactive communication with clients throughout the implementation journey. • Identify risks or blockers early and implement mitigation strategies to ensure successful project delivery. • Leverage AI-powered workflows and automations to streamline onboarding activities, project tracking, customer communications, documentation, and implementation reporting. Problem Solving & Cross-Functional Collaboration • Work closely with internal teams—Product, Account Management, Support, and Engineering—to resolve issues and deliver optimal client outcomes. • Implement solutions to recurring challenges and contribute to process improvements that enhance client satisfaction and operational efficiency. • Identify opportunities to use AI tools and automations to improve collaboration, issue resolution, and communication across implementation teams. Process Optimization & Feedback Loops • Collect client feedback and analyze implementation trends to inform continuous improvement initiatives. • Partner with Product and Implementation Leadership to suggest enhancements based on client pain points, product limitations, or process bottlenecks. • Proactively identify gaps in onboarding workflows and propose innovative tools or approaches to improve client outcomes. • Design and implement AI-driven workflows or no/low-code automations that reduce repetitive manual work and improve the scalability and efficiency of implementation processes. Compliance & Documentation • Ensure all implementations adhere to regional and international payroll compliance requirements. • Maintain detailed documentation for each project, including requirements, configurations, workflows, and outcomes. • Leverage AI tools to improve documentation, knowledge management, reporting, and information accessibility while ensuring accuracy and appropriate human oversight. • Facilitate a structured handover to Account Management and Customer Success teams post-implementation. Why Papaya Global? • Join a rapidly growing, mission-driven company at the forefront of global payroll innovation. • Work with a dynamic team passionate about redefining how businesses manage global talent. • Enjoy a flexible work environment, competitive compensation, and a culture that values growth, collaboration, and impact. Requirements • Bachelor’s degree or equivalent professional experience. • 3–5+ years in a customer-facing role, preferably in SaaS or payroll/HR tech environments. • 3–5+ years of experience with payroll implementation or processing in the Americas. • Solid understanding of service models such as PEO, EOR, ASO, AOR, and contingent workforce solutions. • Proven ability to manage multiple client projects simultaneously from discovery to go-live. • Strong analytical and problem-solving skills, with a proactive approach to issue resolution. • Excellent time management skills with the ability to juggle multiple priorities in a fast-paced environment. • Customer-centric mindset with outstanding relationship-building capabilities. • Experience in Change Management and continuous improvement practices. • Hands-on experience building AI-powered workflows, automations, or custom AI solutions that improve implementation processes, customer onboarding, project management, reporting, or operational efficiency. • Experience creating AI-driven workflows, agents, or no/low-code automations that are integrated into day-to-day work processes and improve team productivity. • Ability to identify opportunities for AI adoption and implement practical solutions that improve implementation scalability, customer experience, and operational efficiency. • Hebrew language skills would be a strong plus. Technical & Project Management Expertise • Proficiency with payroll software platforms and HRIS/ERP systems. • Strong understanding of data migration, system integration, and platform configuration. • Ability to troubleshoot technical issues and collaborate with cross-functional teams for resolution. • Experience managing multiple, concurrent implementation projects with excellent project planning skills. • Familiarity with project management tools such as JIRA, Asana, Monday.com, or Microsoft Project. Communication & Interpersonal Skills • Exceptional verbal and written communication skills. • Comfortable engaging with stakeholders at all levels, from payroll administrators to senior leadership. • Strong client-facing presence and the ability to manage expectations with empathy and confidence.
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. We're looking for a Director of Growth to own and oversee account-based experience (ABX), growth marketing, and pipeline acceleration across new business and expansion. You'll own the strategy and execution of how Papaya attracts, engages, and converts target accounts, partnering closely with Sales, SDR, GTM, and Marketing Operations. You'll own the budget and the team behind this engine, and lead the adoption of AI-driven workflows that let the function scale without scaling headcount at the same rate. This is a hands-on, management-and-execution role, built for someone who moves fast in a high-growth environment. What You'll Do • Own the strategy and execution of the ABX and growth marketing plan end to end, including account tiering, ICP segmentation, and campaign design, aligned to pipeline and expansion revenue targets. • Own the pipeline measurement framework: sourced vs. influenced vs. accelerated attribution, with clear reporting tied to win-rate and new-business pipeline goals. • Manage the growth marketing budget, allocating, forecasting, and reallocating spend based on performance, with full accountability for ROI. • Lead and develop a team across growth activities, setting priorities, coaching execution, and building bench strength. • Act as the internal authority on intent and signal data, directing how it shapes account prioritization, outbound sequencing, and campaign targeting. • Own expansion, upsell, and cross-sell pipeline campaigns in partnership with Sales. • Integrate event strategy into the growth engine, including pre- and post-event campaigns that convert attendance into pipeline. • Partner with Sales and SDR leadership to align on target accounts, sharpen outbound execution, and accelerate pipeline velocity. • Champion AI adoption across the growth function by implementing AI-powered workflows and tools that increase efficiency and campaign scale. • Identify and activate new growth opportunities through data-driven experimentation, and report performance and insights to GTM leadership. Requirements • 7+ years of experience in B2B SaaS marketing, with a proven track record in growth, demand generation, and/or ABX, including 3+ years in a leadership role with direct reports. • Demonstrated ownership of enterprise and SMB pipeline generation and growth marketing budget, with measurable revenue outcomes. • Deep experience with ABX frameworks, intent/signal platforms, and marketing automation and CRM tools (e.g., HubSpot, Salesforce, Influ2, G2). • Highly analytical mindset, with the ability to turn data into actionable insights and a defensible attribution model. • Hands-on, execution-first operator who is comfortable managing a team while running campaigns directly, and able to move fast in a high-growth environment. • Hands-on experience applying AI tools to marketing workflows, with genuine interest in scaling a function through automation. • Exceptional cross-functional collaboration, particularly with Sales and SDR leadership.
Description Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. The Account Manager is a key player responsible for nurturing and growing client relationships within our enterprise-level accounts. Collaborating with the Account Management Regional Lead, you'll drive revenue generation, manage partnerships, and contribute to RFPs. The ideal candidate leverages AI-powered workflows and automations to enhance customer engagement, streamline account management activities, and improve operational efficiency. Responsibilities: • Build and maintain strong client relationships by understanding their unique needs and objectives, managing overall partnerships, and addressing escalations with internal teams to ensure SLAs are met. • Drive revenue growth by identifying opportunities for upselling and cross-selling within client accounts. Collaborate with the Regional Lead and internal teams to develop and execute amendments supporting new solutions. • Ensure exceptional service delivery by meeting and exceeding client expectations, promptly addressing and resolving issues, and conducting regular partnership calls to understand clients' business needs and future plans. • Collaborate with the Regional Lead and stakeholders to support RFPs and RFIs, contributing to the development of compelling proposals showcasing the company's value proposition, and participating in RFP interviews with the Sales team. • Strive to achieve individual and team KPIs as defined by the organization, continuously monitor progress, and take corrective actions when necessary. Ensure alignment with the Service Delivery team and address issues proactively. • Optimize client interactions and sales strategies by utilizing playbooks and processes. Provide valuable feedback and suggestions for process improvements based on real-world client experiences. • Leverage AI-powered workflows and no/low-code automations to streamline account planning, customer communications, reporting, opportunity identification, and account management processes, improving both team efficiency and customer experience. Requirements • Bachelor's degree in Business, Marketing, or a related field. • 2–5 years of experience in account management. • Excellent interpersonal and communication skills. • Strong analytical and problem-solving abilities. • Knowledge of Payroll, HRIS, or Fintech industries. • Proficiency with CRM software and project management tools. • Hands-on experience building AI-powered workflows, automations, or custom AI solutions that improve account management, customer engagement, reporting, or operational efficiency. • ·Experience creating AI-driven workflows, agents, or no/low-code automations to support customer communications, account planning, opportunity management, or business processes. • Ability to identify opportunities to leverage AI to improve customer outcomes, streamline repetitive tasks, and enhance team productivity. • Client-focused with a passion for outstanding service. • Strong organizational and time management skills. • Collaborative team player adaptable to a fast-paced environment. • Availability to work Monday-Friday
Product Owner - Part Time Intern This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Zerto, a Hewlett Packard Enterprise company, develops enterprise software that helps organizations protect their business-critical applications and data from outages, cyberattacks, and disasters. Our platform enables customers to recover quickly from ransomware, infrastructure failures, and other disruptive events while minimizing downtime and data loss. Trusted by thousands of organizations worldwide, Zerto helps enterprises and service providers to simplify disaster recovery, cyber resilience, backup, and workload mobility across on-premises, cloud, and hybrid environments What will your work be like? As a Product Owner, you will join the product owners group, responsible for delivering customercentric solutions for thousands of customers worldwide. Working closely with experienced Product Managers, Engineers, Designers, and business stakeholders, you'll contribute to product discovery, prioritization, and execution while developing a deep understanding of how enterprise products are built, delivered, and continuously improved. In this role, you will: • Own the product lifecycle of one or more Zerto product domains, from discovery through delivery and adoption. • Develop a deep understanding of customer challenges and business needs through direct engagement with customers, Customer Success, Support and Sales. • Collaborate with Engineering, Product, Marketing, Sales, Customer Success, Support, and Executive leadership to deliver customer-centric solutions. • Translate customer problems into valuable product solutions. • Manage and continuously refine the product backlog, balancing customer value, technical complexity, business priorities, and engineering capacity. • Prioritize features and enhancements while considering customer impact, technical dependencies, delivery timelines, and strategic objectives. • Partner closely with Engineering throughout the development lifecycle to clarify requirements, resolve trade-offs, and ensure successful delivery. • Use data, product analytics, customer feedback, experimentation, and AI-powered insights to support product decisions and measure success. • Leverage modern AI tools to accelerate product discovery, documentation, competitive research, customer feedback analysis, and day-to-day product execution. • Identify opportunities to improve both our products and the way Product teams operate. • Present product initiatives, roadmaps, and outcomes. • Define, track and continuously improve product KPIs, adoption, and customer satisfaction metrics. Who you are • A student with at least 18-24 months remaining in one of the following Bachelor's degree: Business Administration (BBA), Economics, Computer Science, Software Engineering, Information Systems, Industrial Engineering & Management, Data Science. • Passionate about technology, innovation, and solving customer problems. • Naturally curious, eager to learn, and excited to explore new technologies and ways of working. • Analytical, data-driven, and comfortable making decisions based on both quantitative and qualitative insights. • Interested in Product Management practices, including AI-assisted workflows • Comfortable using AI tools to improve productivity and product execution • A strong communicator who can effectively collaborate with both technical and business stakeholders. • A team player who enjoys leading through influence, building consensus, and working across multiple disciplines. • Organized, proactive, and able to manage multiple priorities in a dynamic environment. • Excellent written and verbal communication skills in English. Nice to Have • Previous Product Management or Product Owner experience (industry, startup, or military service). • Familiarity with enterprise software, SaaS, cloud infrastructure, virtualization, storage, or cybersecurity. • Experience with product management tools such as Jira, Confluence. • Experience using Generative AI tools to improve research, analysis, documentation, or workflow automation. • Basic technical understanding of APIs, virtualization, cloud technologies, or software architecture. Want to learn more about Software Engineering careers at HPE? Try our new virtual experience program, where you can explore what’s next for you in this role and earn shareable completion certificates that stand out to HPE recruiters and hiring managers. https://careers.hpe.com/us/en/students-virtual-experiences What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #israel #interns Job: AdministrationJob Level: N/A HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
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