Top Artificial Intelligence Jobs in Milan

Manage five strategic customer accounts and one prospect, driving enterprise software sales through new customer acquisition, account expansion, upselling, and cross-selling. Develop territory and business plans, build executive-level relationships, conduct demonstrations and events, and position Dynatrace against competitors. Collaborate with sales engineering, SDRs, partners, marketing, legal, and finance to execute solution strategies and ensure successful customer implementations.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Drives global deployment of continuous improvement and quality frameworks across manufacturing plants. Leads cross-functional improvement projects, supports Smart Factory and digital transformation initiatives, develops dashboards and KPIs, analyzes operational and quality data, and contributes to automation and AI-based solutions. Delivers training and coaching on Lean, Six Sigma, quality tools, and structured problem-solving while building continuous improvement capabilities across international teams.

Partners with sales, engineering, product, and customers to lead technical discovery, deliver demonstrations and proof-of-concepts, facilitate workshops, address security and implementation questions, design scalable solutions, create architecture and proposal materials, and support sales-to-delivery transitions.

Provides technical leadership for Python-based AI backend platforms supporting LLM integrations, generative AI pipelines, and agent orchestration. Architects scalable AWS systems using FastAPI, Lambda, and EKS; establishes observability and engineering standards; drives performance, security, and reliability improvements; mentors engineers; and influences organization-wide technical strategy, platform capabilities, and best practices.

Marketing intern supporting digital content, campaigns, events, webinars, newsletters, social media, analytics, and client engagement initiatives across European markets. The role includes analyzing campaign performance, presenting recommendations, collaborating with international stakeholders, and exploring responsible AI applications in marketing. It is designed for a recent graduate or final-year student seeking practical experience in an asset management environment.

Own the full sales cycle for Slack across a high-volume account portfolio, from prospecting and pipeline generation through negotiation and closing. Build relationships with business leaders, position Slack’s AI capabilities, develop ROI-driven business cases, and partner with Salesforce Account Executives and Solution Engineers on co-selling, demonstrations, and solution customization. The role requires Italian and English fluency, quota-carrying SaaS sales experience, pipeline management, forecasting, negotiation, and presentation skills.

Own the complete sales cycle for Slack across a high-volume account portfolio, from prospecting and pipeline generation through negotiation and close. Build relationships with business leaders, position Slack AI capabilities, develop ROI-driven business cases, and partner with Salesforce Account Executives and Solution Engineers on demos and co-selling. Maintain disciplined forecasting, tailor value propositions, and drive new and expansion business across the territory.

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.

Own and build Timeleft’s end-to-end lifecycle program across email, push, SMS, and in-app channels. Drive signup-to-paid activation, subscriber retention, and reactivation through personalized journeys, experimentation, predictive decisioning, and AI-enabled workflows. Partner closely with Product, Data, and Engineering on lifecycle infrastructure, measurement, and in-product experiences. Manage the maturity roadmap, report on conversion and retention metrics, and hire and lead a Lifecycle Manager as the function scales.

Own the design, implementation, monitoring, and governance of credit and fraud risk models and reporting across BNPL and lending portfolios. Analyze loss drivers, approval rates, recoveries, and portfolio performance; build BI dashboards; support IFRS9 provisioning, stress testing, regulatory reporting, and credit policy development. Collaborate with finance, product, payments, risk, auditors, regulators, and leadership to deliver actionable risk and profitability insights.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Grow new-business sales within existing enterprise accounts in Italy. Manage upsell and renewal expansion, rebuild distressed accounts, exceed revenue targets, develop account plans, and forecast accurately. Partner with presales, professional services, channel partners, and system integrators to position cybersecurity cloud solutions. Build C-level relationships, conduct workshops, maintain CRM records, and support strategic account growth.

Drive net-new revenue and expansion across enterprise accounts by selling Elastic’s Search AI, observability, and security solutions. Build pipeline, develop territory plans, manage complex sales cycles, conduct MEDDPICC-based discovery, and lead executive negotiations. Serve as a trusted technical advisor, connect platform capabilities to business outcomes, maintain accurate forecasts, and collaborate with Solutions Architects, Customer Success, Marketing, and RevOps.

Own product direction, roadmap, prioritization, discovery, delivery, launches, and performance outcomes across manufacturing technology products. Collaborate with firmware, cloud, UX, engineering, operators, and business stakeholders to translate customer needs into shipped products. Focus areas include production insights, scalable platforms and integrations, or hardware, firmware, and IoT data capture. Use customer research, analytics, and continuous iteration to improve factory-floor outcomes.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Supports People & Values operations by improving employee lifecycle processes, administering HR systems, maintaining documentation and policies, implementing automation, and managing contingent workforce contracts. The role partners with Talent Acquisition, Legal, Finance, and internal stakeholders to improve onboarding, ensure compliance, maintain data integrity, and deliver scalable employee experiences.

Lead the architecture and hands-on development of production-grade generative and agentic AI systems. Build LLM orchestration, AI agents, RAG, tool calling, evaluation, observability, and secure cloud-native platforms. Establish engineering standards, lead architecture and code reviews, mentor engineers, evaluate technologies, and advise clients and senior stakeholders on scalable AI solutions.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Monitor Borsa Italiana markets in real time and retrospectively, focusing on derivatives, trading rules, liquidity obligations, market interventions, alerts, investigations, and suspicious transaction reporting. Support market participants, maintain surveillance processes, and contribute to algorithms and AI-based tools for detecting unusual trading patterns and automating routine monitoring tasks. The role is office-based in Milan and may require extended working hours.