AI Product Manager - Arduino, Turin, Italy

06 ago - Torino
Experteer Italy

Experteer Overview

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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

Responsabilità

5+ years in Product Management or related field

Strong technical background in AI/ML (GenAI, LLMs, traditional models) with deployment/performance xlwpduy 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

Requisiti fondamentali

Competitive salary and benefits

Flexible working hours

Personalized growth plans

Annual training budget

International environment

Creative workplace

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