Top Tech Jobs & Startup Jobs in Naples

Develop and execute the go-to-market strategy for Nuitee’s B2B flight product. Responsibilities include product positioning, competitive analysis, sales enablement, customer pitches and demos, strategic co-selling, commercial and pricing strategy, enterprise negotiations, and translating technical capabilities and market data into compelling business value. The role also influences the product roadmap and drives growth across the travel distribution ecosystem.

Drive B2B growth by prospecting, negotiating, and closing complex sales of iGaming platforms and services, including White Label, Turnkey, sportsbook, managed trading, API, iFrame, and casino aggregation solutions. Build relationships with operators, aggregators, platform partners, and senior decision-makers; manage the full sales cycle, coordinate internal teams through launch, support account development, and identify new markets and commercial opportunities.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Lead architecture and development of mobile apps for Web3 products. Define mobile standards, integrate wallets and blockchain networks, drive performance and reliability, mentor engineers, own releases and product stability, and collaborate with product, design, and backend teams.

Coordinate QA activities for a large Salesforce project, including test planning, functional, regression, integration, and end-to-end testing. Manage quality gates, test evidence, documentation, defect lifecycles, triage, stakeholder communication, release readiness, and customer acceptance processes. The role also drives QA governance and process improvements while coordinating internal teams and external testing providers. Italian fluency, EU location, work authorization, and experience with AI-powered development assistants are required.

Own a portfolio of Tier 1 enterprise accounts, develop account plans and stakeholder maps, engage C-suite leaders through consultative discovery, and collaborate with strategic sales teams on complex opportunities. Responsibilities include executive workshops, customer visits, market intelligence, strategic messaging, and sales enablement. The role requires enterprise business development experience, CRM proficiency, executive communication skills, value quantification, and fluency in English plus another language.

Supports enterprise pre- and post-sales deal operations by managing requests, coordinating Sales, Legal, Finance, and Operations stakeholders, preparing documentation, maintaining Salesforce records, and ensuring timely approvals and execution. The role also identifies process improvements, manages competing priorities, and contributes to team best practices and knowledge sharing.

Leads Dow’s Digital Operations technology strategy, identifying and prioritizing intelligent automation opportunities, translating business needs into scalable digital solutions, and overseeing implementation across sites and functions. Partners with operations, technology, data, cybersecurity, and business leaders to improve reliability, performance, adoption, and value realization. Provides strategic guidance to senior leadership while mentoring employees and promoting responsible, safe, and inclusive technology adoption.

Lead and grow a backend engineering team operating with AI-assisted development. Own delivery quality and predictability, hiring, performance management, technical direction, and team development. Partner closely with Product, engage directly with freight customers, and help establish effective AI engineering practices, agent guardrails, review standards, and autonomous workflows. Remain hands-on approximately one day per week while improving engineering processes and outcomes across a distributed, remote-first organization.

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.