Internship jobs at Philips - 79 jobs

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** At IBM, we know that transformation drives change, and it is in our DNA to continuously transform. Our consultants help drive large scale change that spans IBM business units and geographies. As a part of this team, you will have the unique opportunity to be a part of driving IBM's ongoing transformation as a company that continuously innovates and leads the market. **Your role and responsibilities** You're right at the intersection of technology, people, and process, helping your clients transform how they adapt to shifts in the market, and more closely align their business strategy and vision. Associate Consultant Interns are important and key players for our clients. You'll be their guide to developing an understanding of their processes, goals, and objectives to define their future state, then help them get there. You'll help clients understand leading technologies and the impact they can have on traditional business processes. You'll have an opportunity to build a powerful portfolio of interesting and rewarding experiences, taking advantage of opportunities to master new skills, learning about and becoming an expert in our client's industries, and tackle new challenges. Work you could do as an Associate Consultant Intern: IBM provides a variety of solutions to clients and our specialized teams serve these needs. As a result, the specific work and technologies vary by the team you may be joining. Below is a list of the types of work Associate Consultants do. * Assist with Cloud migration and system application implementation or upgrades. * Run or support workshops, meetings and stakeholder interviews. * Document requirements from the product owner/business lead. * Develop process maps to understand As-Is and To-Be scenarios. * Translate client requirements into analytical specifications for the implementation of the IBM solution. * Define current and future operational scenarios (processes, models, use cases, plans and solutions) and works with client using an agreed methodology to ensure proper translation of business requirements to solution requirements. * Project business value of a solution in client-relevant terms and drive adoption of key performance indicator (KPI) impact with key client stakeholders. * Develop communications tailored to specific audiences. * Work in an Agile, collaborative environments. * Use IBM's Design Thinking to help solve client's challenges. * Analyze data to support conclusions and strategies and design organization. **Required technical and professional expertise** * Seeking B.S. or M.S. degree in Computer Science, Information Systems Technology, Computer Engineering, Computer Information Systems, Management Information Systems, Information Technology. * Basic understanding of Hybrid Cloud Strategies (IBM Cloud, AWS, Azure, etc.). * Basic understanding of AI. * Basic understanding of Networks and Devops. * Excellent verbal and written communication skills. **Preferred technical and professional experience** * Familiarity and experience in computer languages: Java, Python, C++, C#, dot.net, HTML. * SQL skills, understanding data structures, extract/transform/load skills. * Data analysis skills. * Have a passion for innovative ideas, coupled with the ability to understand and assimilate different points of view. * Can translate business requirements into technical solutions as well as generating business case. * Demonstrate leadership experience and ability to adapt, with willingness to readily take ownership of tasks and problems, which often extend beyond initial scope of responsibility. * Have initiative to actively seek new knowledge and improve skills. * Had an internship or work experience in corporate setting with demonstrated track record. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! We are now looking for a DFT Intern! Are you passionate about manufacturing quality? Do you like to work at the intersection of design and silicon testing? NVIDIA is seeking extraordinary DFT interns who love to push the quality of the products they work on to the ultimate levels. The team is building groundbreaking methodologies and flows to drive production times and quality to the highest level. What you'll be doing: As a member of the team, you will design and implement test methodologies for large, complex, high-volume Digital IC's. You will work with logic designers to review and analyze IC designs and apply test techniques as necessary. Your day to day will include developing software to automate test logic insertion, timing analysis, vector generation, and validation, as well as finding continual optimization of production test cost and quality. What we need to see: Pursuing a MS or PhD in Computer Architecture or Electrical Engineering In-depth knowledge of techniques for the automated testing of complex semiconductors, including JTAG, BIST, and ATPG. Good programming skills in C++ and Perl5. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's AI Factories are designed to speed up AI and HPC workloads! At their core is the Digital Twin, a physics-based model used to design, validate, and operate factories optimized for tokens per watt across GPUs, cooling, power, and control systems. We are looking for an intern to support hands-on thermal R&D, evaluate, and model data centers' energy flows and waste heat recovery systems. What You Will Be Doing: Research and evaluate waste heat recovery technologies such as absorption chillers, heat-recovery loops, and their energy/computing impacts. Model data center energy flows, PUE/RP improvements, and high-temperature liquid-cooling benefits. Create digital twins using CFD and FNM tools for ambient-to-chip thermal/fluid simulations. Assist with analysis, scripting, and visualization (Python/MATLAB), and supporting technical reports and benchmarking. Collaborate with cross-functional teams to ensure alignment with sustainability and performance goals. What We Need to See: Currently pursuing a Master's or Ph.D. degree in Mechanical Engineering with a strong thermal and optimization background. Strong understanding of thermal management principles and fluid dynamics. In-depth knowledge of sustainable technologies, including waste heat recovery, advanced cooling solutions, energy-efficient hardware, and innovative data center designs. Understanding of industry standards and regulatory requirements related to environmental sustainability. Ways to Stand Out from the crowd: Experience with DCs cooling systems simulation tools (CFD and FNM). Experience with Omniverse or USD-based digital twin integration. Research/publications in data center cooling or advanced thermal management. Strong communication and partnership skills. NVIDIA is widely recognized as one of the technology industry's most desirable employers, with some of the most forward-thinking and dedicated people in the world. We are proud to be an equal opportunity employer, committed to encouraging a diverse and inclusive work environment. If you're creative, autonomous, and driven, we want to hear from you! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Autonomous Vehicles and Robotics Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles and Robotics teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field include: Autonomous Vehicles Developing and training state-of-the-art Deep Neural Networks for path generation Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation Robotics Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Deep Learning Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field include: Deep Learning Applications & Algorithms Developing algorithms for deep learning, data analytics, or scientific computing to improving performance of GPU implementations Course or internship experience related to the following areas could be required: Deep Neural Networks, Linear Algebra, Numerical Methods and/or Computer Vision, Software Design, Computer Memory (Disk, Memory, Caches), CPU and GPU Architectures, Networking, Numeric Libraries, Embedded System Design and Development, Drivers, Real-Time Software Deep Learning Frameworks & Libraries Building underlying frameworks and libraries to accelerate Deep Learning on GPUs Contributing directly to software packages such as JAX, PyTorch, and TensorFlow, integrating the latest library (e.g., cu DNN) or CUDA features, performance tuning, and analysis Optimizing core deep learning algorithms and libraries (e.g., CuDNN, CuBLAS), maintaining build, test, and distribution infrastructure for these libraries and deep learning frameworks on NVIDIA supported platforms Course or internship experience related to the following areas could be required: Computer Architecture (CPUs, GPUs, FPGAs or other accelerators), GPU Programming Models, Performance-Oriented Parallel Programming, Optimizing for High-Performance Computing (HPC), Algorithms, Numerical Methods What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), React, Go Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking Compiler Engineers! You will be a key member of our AI Compilers Team working on enabling programmability for NVIDIA GPU's. Our Compiler team is growing and seeking top-tier compiler engineers who want an exciting and fun role as they help lead the charge to even greater accomplishments within a world-class organization. Come join us and to be part of the team in making a difference! What you'll be doing: Design and implementation of significant parts of the compiler. Work on performance analysis and design/implementation of new optimizations. Develop profiling and debugging tools to generate compiler performance metrics. Partner and collaborate with global compiler and software teams to coordinate improvements and problem resolutions. What we need to see: Pursuing a BS/MS in Computer Science or Computer Engineering Relevant work or research experience in Compilers, MLIR, performance analysis, compiler optimizations, code generation. Must have Low Level Virtual Machine (LLVM) experience Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design. Knowledge of Solvers, Optimizers and Optimization problems. Ways to stand out from the crowd: PhD strongly preferred Proven ability to design/architect compiler frameworks. Knowledge and understanding of GPU's Experience with open source compilers and contributions to code base. Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team with ability to collaborate well with others in an energizing environment. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** As you have witnessed during your IBM experience, at IBM we have an amazing opportunity to transform the world with technology. By using the vast amounts of information available today to identify new patterns and make new discoveries. Join the forward-thinking teams at IBM solving some of the world's most complex problems - there is no better place to grow your career! **Your role and responsibilities** This position is for intern to full time conversions for starts in January 2026 and later. By applying to this position, you are applying to the same role for which you were a co-op or intern at IBM in 2025. **Required technical and professional expertise** Successful completion of a 2025 IBM Co-op or Internship IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges. IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, and cross-functional collaboration. Product Managers work across engineering, design, data science, and go-to-market teams to deliver innovative, secure, and scalable AI-powered solutions. **Your role and responsibilities** The responsibilities of a Product Manager include: -Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs. -Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models. -Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories. -Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs. -Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development. -Monitor product performance using analytics tools and user feedback to iterate and improve continuously. -Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers. -Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions. **Required technical and professional expertise** '-Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution. -Understanding of AI/ML concepts, data lifecycle, and model deployment practices. -Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery. -Proficiency in product analytics tools and data visualization platforms -Strong communication and storytelling skills to translate technical insights into business value. -Ability to manage dependencies across teams and anticipate risks in product delivery. **Preferred technical and professional experience** '-Experience with enterprise AI products or platforms -Exposure to AI ethics frameworks and responsible AI practices. -Comfortable working with global teams across time zones and cultures. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges. IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, and cross-functional collaboration. Product Managers work across engineering, design, data science, and go-to-market teams to deliver innovative, secure, and scalable AI-powered solutions. **Your role and responsibilities** The responsibilities of a Product Manager include: -Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs. -Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models. -Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories. -Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs. -Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development. -Monitor product performance using analytics tools and user feedback to iterate and improve continuously. -Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers. -Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions. **Required technical and professional expertise** '-Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution. -Understanding of AI/ML concepts, data lifecycle, and model deployment practices. -Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery. -Proficiency in product analytics tools and data visualization platforms -Strong communication and storytelling skills to translate technical insights into business value. -Ability to manage dependencies across teams and anticipate risks in product delivery. **Preferred technical and professional experience** '-Experience with enterprise AI products or platforms -Exposure to AI ethics frameworks and responsible AI practices. -Comfortable working with global teams across time zones and cultures. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Introduction Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges. IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, and cross-functional collaboration. Product Managers work across engineering, design, data science, and go-to-market teams to deliver innovative, secure, and scalable AI-powered solutions. Your role and responsibilities The responsibilities of a Product Manager include: * Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs. * Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models. * Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories. * Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs. * Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development. * Monitor product performance using analytics tools and user feedback to iterate and improve continuously. * Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers. * Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution. * Understanding of AI/ML concepts, data lifecycle, and model deployment practices. * Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery. * Proficiency in product analytics tools and data visualization platforms * Strong communication and storytelling skills to translate technical insights into business value. * Ability to manage dependencies across teams and anticipate risks in product delivery. Preferred technical and professional experience * Experience with enterprise AI products or platforms * Exposure to AI ethics frameworks and responsible AI practices. * Comfortable working with global teams across time zones and cultures. ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

**Introduction** Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges. IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, and cross-functional collaboration. Product Managers work across engineering, design, data science, and go-to-market teams to deliver innovative, secure, and scalable AI-powered solutions. **Your role and responsibilities** The responsibilities of a Product Manager include: -Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs. -Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models. -Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories. -Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs. -Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development. -Monitor product performance using analytics tools and user feedback to iterate and improve continuously. -Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers. -Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions. **Required technical and professional expertise** '-Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution. -Understanding of AI/ML concepts, data lifecycle, and model deployment practices. -Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery. -Proficiency in product analytics tools and data visualization platforms -Strong communication and storytelling skills to translate technical insights into business value. -Ability to manage dependencies across teams and anticipate risks in product delivery. **Preferred technical and professional experience** '-Experience with enterprise AI products or platforms -Exposure to AI ethics frameworks and responsible AI practices. -Comfortable working with global teams across time zones and cultures. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges. IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, and cross-functional collaboration. Product Managers work across engineering, design, data science, and go-to-market teams to deliver innovative, secure, and scalable AI-powered solutions. **Your role and responsibilities** The responsibilities of a Product Manager include: -Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs. -Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models. -Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories. -Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs. -Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development. -Monitor product performance using analytics tools and user feedback to iterate and improve continuously. -Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers. -Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions. **Required technical and professional expertise** '-Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution. -Understanding of AI/ML concepts, data lifecycle, and model deployment practices. -Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery. -Proficiency in product analytics tools and data visualization platforms -Strong communication and storytelling skills to translate technical insights into business value. -Ability to manage dependencies across teams and anticipate risks in product delivery. **Preferred technical and professional experience** '-Experience with enterprise AI products or platforms -Exposure to AI ethics frameworks and responsible AI practices. -Comfortable working with global teams across time zones and cultures. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.