Top Tech Jobs & Startup Jobs in Naples

Build and iterate AI systems spanning computer vision, image manipulation, video generation, and agentic data analysis. Own the full pipeline from model research and API integration through scalable web application deployment. Develop rapid MVPs using AI-assisted tools, orchestrate multiple models into autonomous workflows, and test solutions in e-commerce operations before scaling them into SaaS products.

Own product positioning, messaging, launches, customer feedback loops, case studies, sales materials, and cross-sell campaigns for an AI-powered B2B SaaS platform. Build the product marketing function from scratch, partner closely with Product, Sales, Customer Success, Growth, and leadership, and measure adoption, pipeline, and expansion outcomes. Maintain the company’s internal product knowledge base and serve as the product’s public-facing marketing representative.

Owns diagnosis and resolution of complex customer issues across a distributed database platform. Responsibilities include SQL and query performance troubleshooting, Linux administration, customer onboarding and deployments, managed database monitoring, root-cause analysis, documentation, technical escalation, and collaboration with Engineering. The role provides customer support through tickets, email, and phone, participates in on-call rotations, and uses AI-assisted troubleshooting.

Lead design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.

Design, build, and operate distributed backend systems in Rust; develop scalable ingestion pipelines, optimize columnar storage on object storage at petabyte scale, and manage Kubernetes clusters across AWS, Azure, and GCP. The role also involves building automation for provisioning, monitoring, scaling, and maintaining managed customer clusters.

Designs, operates, and improves highly available cloud infrastructure for blockchain services across AWS, GCP, and Azure. Responsibilities include managing Kubernetes clusters and autoscaling with Karpenter, building Terraform infrastructure, developing CI/CD pipelines, operating Kafka, Redis, and NGINX, automating with Golang and Python, and improving observability, reliability, security, and disaster recovery. The role also involves production troubleshooting, incident response, on-call participation, and collaboration with software engineering teams.

Lead end-to-end annotation projects: define workflows, coordinate teams (annotators, reviewers, experts), track progress and quality via dashboards, manage launches and phase transitions, pilot tooling and methodology improvements, and build scalable operational systems and documentation to support annotator community and cross-functional alignment.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Own strategy and execution for Toloka’s B2B products, including product roadmaps, lifecycle management, acquisition-to-payment funnels, metrics, and optimization. Lead cross-functional engineering, design, analytics, marketing, and operations teams to build and launch products, incorporate customer feedback, and drive measurable user and revenue outcomes across enterprise AI ecosystems.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).