Ph3Company /h3 pQualcomm Europe, Inc. Italy Branch Office /p h3Job Area /h3 pOperations Group, Operations Group Product Management /p h3General Summary /h3 pArduino is now part of the Qualcomm organization! Are you passionate about building technology that brings artificial intelligence to the edge—empowering engineers, educators, makers, and companies to innovate in the real world? /p pArduino is seeking an bAI Product Manager /b to shape the future of our AI product ecosystem, spanning Edge AI‑enabled hardware, developer tools, and end‑to‑end workflows that make it simple to build and deploy intelligent applications. /p pIn this role, you’ll collaborate closely with hardware, firmware, software, cloud, and business teams to define and deliver AI products that matter. You’ll drive the entire lifecycle—from early investigation and concept validation to launch and continuous improvement—with a strong focus on user needs, technical feasibility, and meaningful impact. /p pThis position can be based at our operational headquarters in Turin or remotely within Italy. /p h3Minimum Qualifications /h3 ul liBachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field. /li li5+ years of Product Management or related work experience. /li /ul h3What We Offer /h3 ul liA challenging role in a fast‑growing company with a modern, international environment /li liCompetitive salary and benefits /li liA mission‑driven culture with diverse and talented teams /li liPersonalized growth plans and a dedicated annual training budget /li liFlexible working hours and strong work–life balance /li liFor office‑based employees: ping‑pong tournaments, happy hours, rooftop lunches, and a creative, welcoming workplace /li /ul h3What You’ll Work On /h3 h3Shape the Vision /h3 ul liDefine and manage the roadmap for Arduino’s AI and Edge AI product portfolio across Education, Maker, Professional, and Industrial segments /li liIdentify new AI opportunities through research, user insights, and competitive analysis—including GenAI‑assisted experiences and on‑device intelligence /li liTranslate complex AI technologies (LLMs/LVMs/MLLMs, CNN/RNN/LSTM/U‑Net) into accessible, impactful product strategies aligned with Arduino’s mission /li /ul h3Drive Development /h3 ul liCollaborate with engineering teams to define technical requirements for Edge AI products, optimizing model deployment, inference speed, memory footprint, and power usage /li liPartner with silicon and hardware teams on acceleration, compute architecture, and performance constraints /li liHelp drive a heterogeneous computing strategy by aligning runtime, compilers/toolchains, and hardware capabilities for real‑world applications (vision, audio, sensor fusion, etc.) /li liWork closely with the Product Experience team to deliver high‑quality documentation and developer resources: examples, tutorials, benchmarking kits, and troubleshooting guides /li liShape the evolution of AI‑powered developer tools such as code‑generation assistants, model‑suggestion systems, and automated workflow builders /li /ul h3Prepare for Go‑to‑Market Launch /h3 ul liCollaborate with marketing, sales, and community teams to develop clear messaging, training materials, and engaging content /li liContribute to positioning and pricing strategies for AI‑focused products /li liAlign cross‑functional teams to ensure smooth, coordinated launches across engineering, content, operations, and partnerships /li /ul h3Own the Lifecycle /h3 ul liTrack product performance through customer feedback, usage data, and business KPIs /li liAnticipate market trends and adjust the roadmap to stay ahead of user needsIdentify opportunities for performance, usability, cost, and tooling improvements /li liGuide key lifecycle decisions including platform transitions, major updates, and end‑of‑life planning /li /ul h3Partner Ecosystem Leadership /h3 ul liEngage with customers and partners (OEMs, module vendors, solution providers, research groups) to gather requirements and translate them into clear specifications /li liBuild alignment across global, cross‑functional teams; communicate complex concepts clearly to both technical and non‑technical audiences /li liExplore new AI opportunities across future hardware platforms, software features, developer workflows, and reference applications /li /ul h3What You Bring /h3 ul li5+ years of Product Management experience in AI, ML, or edge computing /li liStrong technical background in AI/ML, including GenAI (LLMs/LVMs/MLLMs) and traditional models (CNN/RNN/LSTM/U‑Net), with an emphasis on deployment and performance /li liExperience with Edge AI toolchains and runtimes (model conversion, quantization, profiling, benchmarking) and a solid understanding of on‑device inference constraints /li liKnowledge of NPU/accelerator architectures and SoC integration /li liDemonstrated ability to drive cross‑functional projects in international teams /li liExcellent communication skills and the ability to simplify complex topics for various audiences /li liFluency in English; Italian is a strong plus /li liOccasional travel availability for partner meetings, events, and customer visits /li /ul h3Preferred Minimum Qualifications /h3 ul liBachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, AI/ML, or related fields /li li5+ years of Product Management or related work experience /li /ul h3Bonus Points /h3 ul liHands‑on experience with TinyML, microcontrollers, or AI on constrained devices; familiarity with Arduino boards and toolchains /li liExperience in the semiconductor industry, NPU roadmaps, or working directly with chip vendors /li liFamiliarity with frameworks such as TensorFlow Lite, ONNX, OpenVINO, PyTorch export pipelines, or embedded inference engines /li liExperience with AI in multimedia (vision, audio, video) or hardware–software co‑optimization /li liAbility to write or review technical content (model deployment docs, benchmarks, tutorials, reference implementations) /li liOpen‑source experience and comfort working in community‑driven ecosystems /li /ul h3Additional Considerations /h3 pReferences to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. /p h3Equal Opportunity Statement /h3 pQualcomm is an equal opportunity employer. /p pIf you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑ or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. /p pQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. /p h3Agency Notice /h3 pTo all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. /p h3Further Information /h3 pIf you would like more information about this role, please contact Qualcomm Careers. /p /p #J-18808-Ljbffr