Ai Product Manager - Arduino, Turin, Italy

As an AI Product Manager at Arduino inside Qualcomm, you shape the AI/Edge AI product ecosystem spanning hardware, tools, and workflows. You’ll partner across hardware, firmware, software, cloud, and business teams to deliver impactful AI products from concept to launch and beyond. You’ll address user needs, feasibility, and real-world impact while aligning with Arduino’s mission. This role offers cross-functional collaboration, a chance to influence multiple segments, and work on cutting-edge edge AI solutions.Retribuzione / Benefits

• Define and manage the roadmap for Arduino's AI and Edge AI portfolio across Education, Maker, Professional, and Industrial segments
• Identify new AI opportunities via research, user insights, and competitive analysis including GenAI-enabled experiences
• Translate AI technologies into actionable product strategies aligned with Arduino's mission
• Collaborate with engineering to specify technical requirements for edge AI products (deployment, speed, memory, power)
• Partner with silicon/hardware teams on acceleration, compute architecture, and performance constraints
• Support the Product Experience team with developer resources (docs, tutorials, benchmarks)
• Shape the evolution of AI-powered developer tools (code-generation, model-suggestion, workflow builders)
• Prepare for go-to-market with messaging, training materials, and content
• Coordinate cross-functional launches across engineering, content, operations, and partnerships
• Own lifecycle decisions including platform transitions, updates, and end-of-life planning
• Engage with customers and partners to translate requirements into specifications
• Build alignment across global teams and communicate complex ideas clearly
• Explore AI opportunities across future hardware, software features, and reference apps

• 5+ years in Product Management or related field
• Strong technical background in AI/ML (GenAI, LLMs, traditional models) with deployment/performance focus
• Experience with Edge AI toolchains and runtimes (model conversion, quantization, profiling, benchmarking)
• Knowledge of NPU/accelerator architectures and SoC integration
• Proven ability to drive cross-functional projects in international teams
• Excellent communication skills and ability to simplify complex topics
• Fluency in English;
  Italian is a strong plus
• Occasional travel availability for partner meetings and events

• competitive salary and benefits
• flexible working hours
• personalized growth plans
• annual training budget
• international environment
• creative workplace