Top Tech Jobs & Startup Jobs in Italy

The role is a senior leadership position in product marketing for silicon photonics within the semiconductor test and measurement industry. The posted description provides limited detail about day-to-day responsibilities, but emphasizes leadership experience, technological innovation, product-related work, and collaboration in an international high-tech environment.

Leads a product support team, overseeing daily operations, customer issue resolution, service levels, quality, coaching, recruitment, and performance management. Develops support strategies, policies, procedures, and continuous improvement initiatives. Analyzes support metrics, escalates complex issues, coordinates training, and collaborates with Product, Engineering, Sales, Marketing, vendors, and senior stakeholders to improve customer experience and service delivery.

Temporary, part-time GRC consultant responsible for cybersecurity risk assessments, risk registers, mitigation tracking, policies, control assessments, audits, compliance with NIST, NIS2, ISO 27001, and GDPR, risk metrics, governance reporting, and stakeholder collaboration. The role requires on-site presence in San Donato Milanese at least three times monthly and fluency in Italian and English.

Advises on sales education and partners with sales leaders to align learning initiatives with business priorities. Translates complex priorities into communications, presentations, and learning assets that improve seller understanding and action. Leads cross-functional projects involving sales, marketing, product, and business teams to support sales readiness and adoption. Analyzes seller feedback and business performance data to identify opportunities to improve sales execution.

Hands-on internship offering cross-functional exposure to consulting, marketing, HR, operations, sales, partnerships, events, and content. Interns receive mentorship, structured development, real responsibility, and potential consideration for future roles.

Designs fragrance concepts, campaigns, packaging, labels, presentations, social content, videos, in-store displays, and immersive brand experiences. Conducts creative trend research, applies generative AI tools, supports marketing projects, and collaborates cross-functionally on client-facing work. The role requires strong design principles, print production knowledge, video editing capabilities, portfolio-quality creative work, and the ability to manage multiple projects in a fast-paced environment.

Analyze customer behavior and business performance using SQL, Python, Tableau, statistics, and large datasets. The intern will build analytical solutions, dashboards, experiments, datasets, KPI reporting, and automated workflows while translating business questions into actionable recommendations. The role involves collaborating with data analysts, data scientists, and international stakeholders to support data-driven decisions.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Configure, test, troubleshoot, and maintain Clearion web and mobile application solutions. Collaborate with Product, Engineering, Business Analysts, QA, and Customer Success teams to validate requirements, improve reusable configurations, document solutions, and meet project deadlines. The role requires functional and regression testing, web technologies, SQL, Agile experience, stakeholder communication, and independent task management.

Drives AI marketing strategy and transformation for enterprise customers. Owns AI Decisioning use cases from discovery through launch and expansion, leads customer design sessions, documents requirements, manages technical projects, mitigates risks, builds stakeholder relationships, and identifies campaigns or optimizations that improve outcomes. Partners closely with engineers, product teams, marketers, executives, and IT stakeholders while contributing to AI Decisioning product strategy.