Top Artificial Intelligence Jobs in Hamburg

Own and expand a strategic EMEA partnership, driving joint business planning, pipeline creation, revenue growth, executive alignment, go-to-market execution, partner enablement, and cross-functional collaboration. The role requires managing complex enterprise software alliances, influencing internal and partner teams, developing joint solutions and campaigns, and delivering measurable commercial outcomes across regional markets.

Review and annotate short video and audio clips for AI training and evaluation. Assess AI-generated descriptions for accuracy, relevance, and appropriateness; flag potentially inappropriate or ambiguous content; provide concise feedback; and maintain consistent annotation quality while following confidentiality, data protection, and moderation guidelines in a remote environment.

Leads NVIDIA’s EMEA public-sector AI business development strategy, collaborating with sales, marketing, solution architects, developer relations, and partners. Responsibilities include sales enablement, account planning, pipeline and revenue growth, customer engagement, opportunity reviews, government lighthouse-account development, partner coordination, case studies, and AI platform adoption. The role also mentors developer relations teams and communicates technical AI value to government customers and stakeholders.

Build and lead n8n’s internal AI and automation enablement function. Run recurring workshops, office hours, build-alongs, bounty hunts, hackathons, and dogfooding initiatives for technical and non-technical teams. Develop reusable templates, measure AI fluency and adoption, support cross-functional champions, and act as product owner for a safe internal automation playground. Partner with IT, Security, Data, and Solutions Engineering to define access, credential, and environment requirements.

Build AI-powered learning resources, automated workflows, onboarding experiences, and knowledge systems. The role involves prototyping Claude-supported solutions, maintaining Sana LMS and Notion, automating enrollment and reporting, creating learning content, and partnering with stakeholders to solve learning needs in a remote, async-first environment.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Drive pipeline and bookings growth through strategic Global Systems Integrator partnerships across Europe. Develop joint business plans, coordinate enterprise sales pursuits, generate demand, strengthen executive relationships, expand partner-led services and platform adoption, and monitor performance through business reporting. Collaborate with Sales, Marketing, Product, Services, Finance, and alliance teams to execute go-to-market initiatives and deliver measurable revenue outcomes.

Drive net-new revenue and account expansion across enterprise telecom customers. Sell Elastic’s Search AI, observability, and security solutions through complex, value-based SaaS sales cycles. Build territory plans, develop pipeline, conduct deep discovery, negotiate contracts, forecast accurately, and partner with Solutions Architecture, Customer Success, Marketing, and RevOps. Advise technical and executive stakeholders on cloud economics, data architectures, AI, search, security, and observability use cases.

Leads the global HR technology and digital transformation strategy, including the transition from Workday to SAP SuccessFactors. Oversees HR technology governance, AI adoption, automation, analytics, data quality, digital workflows, employee self-service, and enterprise transformation programs. Builds and leads a high-performing digital HR function, develops organizational capability, drives adoption, and partners with senior HR, IT, and business leaders to deliver measurable improvements in HR efficiency, employee experience, and decision-making.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Leads financial planning, forecasting, budgeting, reporting, KPI management, variance analysis, and business partnering across the DACH region. The role provides financial insights to operational and commercial stakeholders, identifies profitability opportunities and risks, improves controlling processes, and supports business cases and investment decisions. It also leads finance transformation, automation, AI, business intelligence, and cross-functional projects while mentoring junior colleagues and enhancing reporting and analytical capabilities.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

As a Product Designer at voize, you'll create intuitive mobile experiences for healthcare professionals, translating complex workflows into usable designs while collaborating with product teams through design and implementation phases.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.

Leads consultative discovery, technical qualification, solution design, executive presentations, and sales campaigns for AspenTech industrial software. Partners with sales teams to align technology with measurable customer value, develops industry-specific messaging, engages senior executives, provides product feedback, coaches sales personnel, and represents the company at industry events. Requires extensive industrial software or solution consulting experience, technical domain expertise, multilingual fluency, and European work authorization.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

Lead development and execution of AI and automation roadmap for Western Europe Amazon e-commerce. Build AI-driven discovery and recommendation strategies, create automated reports and predictive analytics, drive AI tool adoption, ensure responsible AI governance, and run test-and-learn pilots to scale successful e-commerce AI use cases across Amazon markets.

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.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Own the strategy, roadmap, and delivery of customer-facing AI agents and workflows for trades businesses. Identify high-value customer problems, lead discovery through production, define AI evaluation and quality standards, monitor performance, and demonstrate measurable customer and commercial outcomes. Partner closely with Engineering, UX, Sales, RevOps, and Customer Success on technical trade-offs, adoption, monetization, and cross-team dependencies.

Build and ship production-grade full-stack software integrated with agentic AI systems. Responsibilities include integrating LLM APIs, using AI-assisted development tools, evaluating AI-generated outputs, building application and API layers, tracking AI productivity KPIs, and supporting Agile delivery from design through production. Contribute to reusable components, AI tooling standards, and integrations involving agent architectures, RAG pipelines, and enterprise AI workflows.