Top Artificial Intelligence Jobs in Hamburg

Leads global FP&A activities, including financial analysis, annual and long-term planning, forecasting, management reporting, investment evaluation, and performance reviews. Drives standardized planning processes, finance digitalization, AI adoption, data-quality improvements, cost-saving initiatives, and profitability improvements. Partners with senior stakeholders and global business lines, communicates financial insights, and supports training and knowledge sharing across Finance.

Support client projects by structuring business problems, assessing data, selecting analytical approaches, conducting analyses, building and validating models, and translating findings into recommendations. The role involves quantitative consulting across industries, collaboration with clients and project teams, and potential work in AI, credit risk, sustainability, optimization, GenAI, and supply chain analytics. Business fluency in German and English and willingness to travel are required.

Supports client projects by structuring analytical problems, assessing data, selecting analytical methods, conducting analyses, building and validating models, and translating results into recommendations. Work may involve AI, predictive modeling, portfolio decarbonization, credit risk, optimization, chatbots, and supply-chain analytics. The role also includes client collaboration, communicating complex concepts clearly, and contributing to project teams across industries.

Owns post-deployment value realization, adoption, and expansion for strategic Private Cloud AI customers across Central Europe. Provides enterprise AI architecture guidance, leads roadmap and adoption reviews, identifies expansion opportunities, facilitates technical and executive workshops, and builds reusable global playbooks. The role combines deep AI and GenAI expertise with customer-facing technical sales, commercial judgment, account management, and frequent onsite travel.

Owns marketing strategy for a strategic technology alliance in Europe, including positioning, messaging, go-to-market planning, integrated B2B campaigns, partner ecosystem enablement, executive communications, and KPI reporting. The role coordinates cross-functional teams across partner, field, product, brand, communications, PR, digital, content, and events. It focuses initially on Germany and supports cybersecurity, AI-native, sovereign cloud, and regulated-industry propositions across Europe.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

Own and deliver product features across trading, investing, crypto, accounts, and payments. Responsibilities include prioritizing features, interpreting regulations and API documentation, writing detailed specifications, coordinating with Engineering, Design, Legal, Compliance, and Operations, leading testing and launches, and monitoring performance after release. Candidates must have shipped products or features, understand technical systems and data flows, query and explain product data, and regularly use AI in product work.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Owns the DACH market for managed AI inference, driving the full B2B sales cycle from prospecting and qualification through signed contracts. Builds pipeline among AI-native companies, software vendors, and enterprises; manages technical buying cycles with CTOs and ML leaders; scopes proofs of concept with Solutions Engineering; develops partner-led opportunities; and provides market feedback to Product and Marketing.

Own the DACH and Nordics enterprise sales territory, managing the full B2B SaaS sales cycle from pipeline generation through closing and account expansion. Build a $1M+ new-business ARR territory, maintain 4.5x pipeline coverage, exceed quota, develop executive relationships, and open enterprise segments across airlines, gaming, travel, and telecommunications. Collaborate with SDRs, marketing, partnerships, product, and customer solutions teams while delivering accurate forecasts. The role requires approximately 30% regional client travel and occasional London team visits.

Creates digital and print layouts, newsletter and marketing visuals, campaign retouching, social media photo and video content, event identities, web concepts, animations, motion graphics, and short-form video. The role also develops and integrates AI-based visual content while collaborating with editorial, marketing, and creative teams across fashion and lifestyle projects.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Owns CrowdStrike’s strategic Schwarz Digit and STACKIT partnership across marketplace, distribution, and reseller channels in Germany and Europe. Develops business plans, pipeline targets, KPIs, joint go-to-market programs, and partner enablement strategies. Recruits and grows channel partners, builds executive relationships, drives enterprise opportunities and quota attainment, coordinates cross-functional teams, and supports sovereignty-focused growth initiatives. Requires substantial German channel sales experience, cybersecurity or cloud marketplace knowledge, strong stakeholder management, regular travel, and fluency in German and English.

Guide prospective customers through Camunda evaluations by mapping requirements to solutions, demonstrating product value, conducting technical Q&A, and developing evaluation plans. Partner with Account Executives and Solution Architects to qualify opportunities, execute presales engagements, support RFI/RFP responses, create technical content, implement code snippets, and drive product wins through consultative selling.

Designs and delivers AI-native solutions across business functions including People, Legal, Finance, and Operations. Responsibilities include identifying transformation opportunities, building and deploying AI agents and automated workflows, integrating enterprise systems, driving adoption, measuring business impact, applying governance and human oversight, and mentoring colleagues. The role partners with functional leaders to redesign operating models and continuously improve production AI solutions.

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.

Serve as a technical advisor for digital-native and startup customers, leading discovery, cloud and AI architecture, demonstrations, workshops, proofs of concept, and production-readiness engagements. Translate business goals into Azure solution plans, remove technical blockers, influence technical decision-makers, and accelerate Azure adoption and consumption. Partner with account teams, specialists, customer success, engineering, and product teams to advance opportunities, create reusable technical patterns, and support complex customer sales motions.

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.

Build and deploy production generative AI systems, including RAG pipelines, agentic workflows, document understanding, document generation, and conversational interfaces. Own AI architecture, implementation, evaluation, testing, observability, and deployment while collaborating with product, design, and engineering teams to deliver reliable user-facing functionality for legal technology products.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, collaborate with senior engineers, and contribute to reliable AI-driven products. Responsibilities require Python, software engineering, deep learning, databases, Docker, and at least one major deep learning framework. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.