Top Tech Jobs & Startup Jobs in Rome

Drive revenue and community growth for a European remote jobs platform. Responsibilities include identifying revenue streams, optimizing website performance, developing content and social strategies, managing Mailchimp email campaigns and automation, analyzing marketing metrics, and building a talent community. The role requires experimentation, cross-functional collaboration, marketing technology adoption, and autonomous execution in a fully remote environment.

Own the strategy and roadmap for Finance and Account Management products, including payments, billing, invoicing, reconciliation, account lifecycle, verification, fraud, and risk. Lead two engineering squads, define requirements, prioritize initiatives, measure business outcomes, and partner with Finance, Compliance, Legal, Sales, Customer Experience, Design, and Engineering. Improve payment costs, revenue, conversion, fraud losses, and operational efficiency while mentoring other product managers and advancing AI adoption.

Build and operate production AI products, including sales acceleration systems, recommendation engines, and agentic operating systems. Own solutions end to end by gathering user needs, designing, coding, deploying, monitoring, and maintaining them. Evaluate agent decisions, detect performance drift, enable non-engineers to create automations, and contribute to shared AI infrastructure. Work across TypeScript, Rust, Ruby, Google Cloud, Kubernetes, and infrastructure as code while collaborating across advisory, sales, operations, and engineering.

Lead end-to-end cloud data architecture for client platforms using Snowflake, Databricks, Azure, and AWS. Design lakehouse and warehouse patterns, migrations, governance, security, pipelines, infrastructure, and cost optimization. Conduct discovery workshops, support presales, present architecture decisions in Spanish and English, mentor engineers, review technical work, and ensure delivery quality. The role also prepares data foundations for BI, analytics, machine learning, and GenAI initiatives.

Reviews technical courses for quality, accuracy, learning-objective alignment, consistency, and instructional effectiveness. Provides constructive feedback to course development engineers on structure, clarity, terminology, formatting, and teaching methods. Requires at least one year of experience in software engineering, AI/ML, or a related field, along with basic coding ability and strong written, verbal, and collaboration skills.

Entry-level graduate program offering 12 months of rotations across departments, project management training, and transition into a permanent landing role. Candidates will work on real business cases, collaborate internationally, and develop project ownership skills. Applicants must have a recent or upcoming master’s degree, fluency in English and Italian, international experience, no more than one year of professional experience, and legal authorization to work in Italy.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Architects and delivers enterprise AI, machine learning, generative AI, RAG, and agentic systems. Designs secure end-to-end architectures, integrates Claude and other models with ServiceNow, APIs, databases, cloud platforms, and workflows, and leads discovery, proofs of concept, and client delivery. Develops ML and NLP solutions, data pipelines, dashboards, evaluation frameworks, observability, governance, and responsible AI controls. Collaborates with stakeholders, engineers, consultants, and clients to operationalize reliable AI applications.

Assess the existing data landscape, identify risks and dependencies, and define a scalable target-state data architecture supporting business expansion. Design data platforms, warehouses, governance, quality standards, models, and REST API integrations across cloud, on-premises, and hybrid environments. Collaborate with technical and business stakeholders and support implementation and testing activities throughout the three-month project.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.