Top Tech Jobs & Startup Jobs

Analyze large-scale datasets and translate findings into actionable business insights through Tableau reports and dashboards. Build and optimize SQL queries, integrate data from multiple sources, support ETL processes, and administer Tableau Server. Communicate complex analyses to nontechnical audiences, troubleshoot performance issues, and collaborate with the analytics team to meet deadlines.

Serve as the ferry revenue management and pricing authority for an AI-driven optimization product. Define operational data requirements, business rules, regulatory constraints, and modeling logic; validate pricing outputs; guide product and engineering teams; support customer implementations, workshops, commercial opportunities, and industry strategy. Expertise should cover passenger, vehicle, accommodation, and ro-ro freight inventory, demand forecasting, dynamic pricing, ancillary revenue, and ferry-specific KPIs.

Lead the production engineering organization responsible for the market model’s data pipelines, ML training and serving, infrastructure, monitoring, reliability, and costs. Set roadmaps and priorities across MLOps, ML engineering, and data engineering; manage functional leads; oversee delivery, KPIs, hiring, technical standards, and cross-functional collaboration. Partner with applied research to productionize models and communicate progress, risks, and technical decisions to executives, product, commercial teams, and engineers.

Leads production engineering for an AI market model, overseeing MLOps, machine learning engineering, data engineering, infrastructure, data pipelines, model training and serving, monitoring, reliability, costs, KPIs, and delivery. Manages functional leads, sets technical roadmaps and standards, partners with applied research and commercial teams, hires senior engineers, and ensures machine learning systems operate reliably in customer-facing production environments.

Manage strategic client relationships across multiple industries, serving as the primary contact and ensuring satisfaction, commercial performance, and solution alignment. Translate client goals into actionable plans, lead cross-functional initiatives, support renewals and cross-sell opportunities, monitor performance metrics, resolve issues, and represent customer needs internally. Frequent travel to Genoa, Italy is required for client meetings and on-site engagements.

Provides frontline technical and data support for Fetcherr’s platform while monitoring data pipelines and production workflows. Responsibilities include troubleshooting user issues, identifying and resolving pipeline problems, maintaining production schedules and activity records, communicating delays to stakeholders and customers, and coordinating with data engineering, R&D, product, and other teams. The role follows rotating day, evening, night, and weekend shifts.

Own complex enterprise support escalations from investigation through resolution within SLA. Diagnose data pipeline failures, maintain runbooks and knowledge systems, improve R&D handoff quality, develop product expertise, and represent support in customer meetings. Collaborate with R&D to reduce recurring issues and improve products. The role requires Python, SQL, data pipeline orchestration, customer communication, and experience building agentic AI workflows to streamline support operations.

Manage strategic enterprise client relationships across multiple verticals, serving as the primary contact and ensuring satisfaction, commercial performance, product adoption, renewals, and successful delivery. Translate client goals into actionable plans, coordinate cross-functional teams, monitor performance metrics, identify expansion opportunities, and represent customer needs internally. Requires frequent travel to Genoa, Italy, approximately twice monthly.

Architect and operate a secure, self-service platform on GCP and Kubernetes. Build controllers, operators, infrastructure-as-code workflows, and GitOps delivery pipelines. Establish observability, SLOs, alerting, reliability, and recoverability standards while leading blameless postmortems. Develop production-quality Go or Python software, enforce security and supply-chain controls, and enable independent service lifecycles across global markets.

Own the end-to-end architecture of a scalable, cloud-native agentic platform on Azure. Establish Kubernetes, infrastructure-as-code, GitOps, CI/CD, observability, and production standards; write core code; guide engineers without direct management; collaborate with the Chief AI Officer; build integrations across enterprise platforms; and enable AI-assisted software development.