Top Tech Jobs & Startup Jobs in Cologne

Own the full sales cycle for mid-market and enterprise SaaS customers in the DACH region, from outbound prospecting and discovery through negotiation and close. Build executive relationships, manage multiple stakeholders, deliver value-based demonstrations with Sales Engineering, maintain pipeline data in Salesforce, and achieve ambitious revenue targets. The role also involves partner and influencer networking, trade shows, events, and cross-functional collaboration with Customer Success and internal teams.

Build and architect scalable cloud and on-premises monitoring solutions across infrastructure, APM, and logs. Develop custom automation scripts, create testable configuration patterns, and advise clients on observability, SRE, and DevOps best practices. The role involves working across diverse client environments, managing multiple projects, exploring AI applications in observability, and accommodating US working hours and customer onsite engagements as needed.

Drive revenue enablement for EMEA South sales teams by improving new-hire ramp times, supporting value selling and MEDDPPICC adoption, identifying enablement gaps, developing programs, guiding teams on sales processes and tools, and managing multiple projects. The role requires strong German and English communication skills, SaaS sales enablement experience, AI/ML understanding, and the ability to communicate complex business value.

Leads development and production deployment of AI/ML, optimization, generative AI, NLP, intelligent agents, and RPA solutions for supply chain master data. Builds predictive models, autonomous data pipelines, and automation bots; manages model monitoring, retraining, and self-healing capabilities. Partners globally with supply chain, data, and IT stakeholders to deliver phased AI enablement, translate business constraints into scalable solutions, and drive adoption and measurable impact.

Secure SEON’s cloud-based fraud-prevention platform through IAM hardening, infrastructure guardrails, detection engineering, incident response, vulnerability remediation, and threat modeling. Lead ISO 27001, ISO 42001, SOC 2, and PCI DSS assurance programs; automate evidence collection and access reviews; manage customer questionnaires, vendor reviews, policies, risk registers, and regulatory obligations.

Owns the technical relationship for enterprise Dynatrace customers, driving platform adoption, success planning, architecture guidance, value realization, executive reviews, risk management, support escalations, enhancement requests, and production change support. Coordinates cross-functional teams, manages recurring account meetings, reviews platform health and consumption, and aligns observability capabilities with customer business outcomes.

Sell and expand implementation services, managed services, and premium support across EMEA. Scope, price, and present service packages; identify upsell and cross-sell opportunities; partner with direct sales and services teams; manage customer relationships; track pipeline and forecasts; and ensure proposals deliver customer value while protecting margins.

Manage enterprise customer technical relationships to increase SonarQube adoption, maturity, satisfaction, and retention. Advise customers on deployment, operations, code quality, and security improvements; conduct deployment audits and quarterly business reviews; identify technical gaps and drive remediation. Educate development teams and sponsors, communicate product roadmap value, influence internal product priorities, and collaborate with sales on account and technical strategies.

Supports sales and presales efforts for BlackLine and SAP finance transformation solutions. Designs solutions, documents business processes and product requirements, develops compelling business cases, presents to clients, and advises internal sales teams. Acts as a liaison among customers, BlackLine, and SAP product organizations to document requirements and use cases.

Conducts applied research on large language models, including literature review, experiment design, data curation, transformer optimization, distributed training, reinforcement learning, and model deployment. Collaborates with research staff to define initiatives, validate new approaches, scale successful prototypes, and communicate complex findings. The role focuses on advancing state-of-the-art LLM capabilities for voice AI products.