Top Remote Jobs in Cologne

Manage the full sales cycle for hospitality SaaS, from prospecting and qualifying marketing leads through demonstrations, negotiation, and closing. Identify decision-makers, understand hotel business needs, maintain CRM data integrity, coordinate handoffs to implementation, and provide local market insights. The role requires German fluency, deep knowledge of independent hotel operations, attendance at hospitality events, and occasional local prospecting or travel.

Own end-to-end global customer implementation projects from kickoff through go-live and handover. Build project plans, establish governance, manage RAID logs, milestones, dependencies, risks, and escalations, and coordinate clients and internal teams across countries and time zones. Lead status and governance meetings, drive accountability, ensure go-live readiness, maintain documentation, and support continuous process improvement.

Own end-to-end SmartReports implementations for hospitals and radiology practices across EMEA, from discovery and solution design through go-live and hypercare. Coordinate integration architects, engineers, hospital IT teams, vendors, and internal stakeholders; manage HL7/RIS/PACS technical workstreams, risks, issues, documentation, status communications, and operational handoffs. Maintain project scope, timelines, decision logs, and escalation processes while ensuring successful customer delivery.

Identify and engage MSP and MSSP prospects across EMEA through phone, email, and LinkedIn outreach. Conduct discovery calls, qualify business and technical fit, schedule meetings for channel sales teams, maintain accurate Salesforce and pipeline data, and exceed monthly activity and opportunity targets.

Manage Neat’s strategic platform, application, consultant, and furniture partnerships across EMEA. Build executive relationships, develop alliance plans, collaborate with channel and sales leadership, identify and track opportunities, and drive joint marketing initiatives. Monitor partnership performance, provide leadership insights, and identify new collaboration opportunities based on industry and competitive trends. Fluency in English and German is required, along with strong presentation, communication, and relationship-building skills.

Build and grow Cloudera’s sovereign cloud business across EMEA. Develop relationships with sovereign cloud providers and enterprise customers, create marketplace offerings, drive partner enablement and sales motions, generate pipeline, and manage regional forecasts and bookings. The role requires expertise in enterprise cloud, data, AI/ML, sovereignty regulations, complex multi-stakeholder deals, executive communication, and cross-functional collaboration.

Lead scanning production and internal service teams at Iron Mountain’s Hamburg location. Responsibilities include strategic planning, personnel management, volume forecasting, capacity planning, hardware maintenance, SLA compliance, customer escalations, cross-functional collaboration, quality control, continuous improvement, and implementation of global operational standards. The role requires experience in high-volume production or document scanning, document capture and BPM technologies, operational leadership, and advanced German and English proficiency.

Manage and convert inbound EMEA SaaS leads (trials, enquiries, quotes, RFPs). Qualify and prioritise opportunities, demo product, recommend solutions, maintain CRM (HubSpot), follow up to close, and share customer/market insights with the team.

Own product requirements from discovery through UAT, quality assurance, release, and iteration. Gather customer feedback, translate customer needs and usage data into priorities, manage product outcomes, and support customer-facing scoping and feasibility discussions. Design solutions spanning data, AI/ML, UX, and system integration while collaborating with engineering and validating customer expectations.

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.