Top Artificial Intelligence Jobs in Germany

Drive mid-market sales of Harvey’s AI solutions across DACH. Manage named accounts and the full customer lifecycle, including prospecting, demonstrations, contracting, onboarding, expansion, and renewals. Build executive relationships, conduct consultative sales, meet revenue targets, maintain pipeline and CRM accuracy, and collaborate with product and engineering teams. Help develop sales playbooks and resources. Fluency in English and German is required, with occasional travel to customer and company offices.

Drive enterprise sales growth for IQVIA’s AI-powered pharmacovigilance and drug safety technology across EMEA. Responsibilities include prospecting, developing strategic accounts, managing the full sales cycle, exceeding quotas, engaging senior safety stakeholders, and collaborating with product, consulting, hosting, and managed services teams. The role requires experience selling complex SaaS, technology, consulting, and managed services solutions to pharmaceutical, biotech, medical device, and clinical research organizations, with strong knowledge of drug safety and pharmacovigilance.

Own product direction, roadmap, prioritization, discovery, delivery, launches, and performance outcomes across manufacturing technology products. Collaborate with firmware, cloud, UX, engineering, operators, and business stakeholders to translate customer needs into shipped products. Focus areas include production insights, scalable platforms and integrations, or hardware, firmware, and IoT data capture. Use customer research, analytics, and continuous iteration to improve factory-floor outcomes.

Develop and deploy spatial perception models for ADAS/AD, including BEV and occupancy-based architectures. Lead large-scale distributed training, synthetic data validation, model quantization, compression, and edge optimization for automotive SoCs. Translate research into production pipelines, benchmark accuracy and performance, conduct experiments, and build regression testing. Collaborate with research and engineering teams while mentoring junior engineers and maintaining high standards for code quality and documentation.

Lead strategic customer engagements by discovering operational challenges, architecting and prototyping secure AI and LLM solutions, and delivering high-stakes Proof-of-Value projects. Present solutions and business value to executives, model ROI and TCO, guide implementation and adoption, and ensure measurable value realization. The role requires strong presales, software and data engineering, enterprise integration, domain expertise, and native-level German proficiency.

Lead strategic customer engagements focused on AI transformation and value realization. Diagnose operational challenges, architect and prototype secure LLM and agent systems using advanced RAG and enterprise integrations, and deliver Proof-of-Value projects. Present AI solutions and business impact to executives, guide implementation and adoption, develop reusable methodologies, and mentor junior colleagues. Native or near-native German is required for customer workshops, executive presentations, and stakeholder management.

Manage global supplier sourcing and procurement for industrial materials, including €1M+ negotiations, contracts, pricing, payment terms, and supply reliability. Build supplier relationships, analyze market and performance data, identify cost savings, mitigate risks, resolve quality and delivery issues, and improve supply chain processes through automation and data. Collaborate with Sales and operations while supporting long-term sourcing strategy in a fast-scaling AI-driven company.

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.

Leads Gartner Consulting engagements and executive relationships across DACH public sector organizations. Advises senior leaders on technology strategy, digital transformation, cloud, data and AI, cybersecurity, sourcing, cost optimization, and legacy modernization. Owns and expands a strategic client portfolio, drives revenue growth, develops new opportunities, and leads high-performing consulting teams. Requires executive-level relationship building, consulting delivery and sales experience, technology problem-solving expertise, native German fluency, and established public sector relationships.

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.

Leads company-wide operational excellence during rapid growth, building scalable processes and coordinating Finance, Legal, People, IT, InfoSec, Compliance, and business operations. The role resolves complex cross-functional problems, supports leadership decisions, anticipates operational risks, and builds a high-performing operations team. Candidates need high-growth and global operating experience, broad ownership across multiple back-office functions, and strong people leadership. Experience in AI, data, or developer tools is advantageous.

Develops thermodynamics-based and AI/ML-enabled predictive models for pharmaceutical formulation and process development. The role analyzes physicochemical data related to solubility, phase behavior, crystallization, stability, and material interactions; builds hybrid mechanistic and machine-learning tools; validates models; assesses uncertainty; and translates complex data into formulation, risk-assessment, and experimentation insights. The scientist collaborates with modeling experts and laboratory teams and communicates findings to technical and business stakeholders.

Build and qualify enterprise sales pipeline for the DACH market through consultative, signal-driven outbound engagement. Research named accounts, conduct senior-level discovery conversations, qualify opportunities in HubSpot, and hand off BANT-qualified pipeline to Account Executives. Use AI tools and lightweight agents to improve research, outreach, enrichment, and signal monitoring. Native German and English proficiency are required, with potential promotion to Account Executive after six months.

Enterprise Account Executive responsible for acquiring new enterprise customers, exceeding ARR quotas, leading sophisticated outbound campaigns, navigating multi-stakeholder buying committees, and closing complex SaaS deals. The role engages HR, Communications, IT, and executive stakeholders, develops strategic business cases, and collaborates with SDRs, Partnerships, Marketing, Solution Engineering, Customer Success, and Product teams. Candidates need enterprise SaaS sales experience, strategic selling expertise, fluent German and English, and a strong hunter mentality.

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.

Own customer AI onboarding from initial execution through go-live and continuous improvement. Validate camera and input data quality, identify edge cases, maintain datasets and SOPs, track success metrics, communicate blockers, and coordinate installation teams to ensure reliable, consistent deployments. Improve onboarding workflows through documentation, checklists, templates, and tool enhancement recommendations. The role requires structured execution, strong communication, process discipline, technical systems comfort, and preferably manufacturing or process experience.

Support AI software onboarding by executing onboarding cycles, checking camera and input-data quality, documenting edge cases, tracking success metrics, communicating blockers, improving SOPs and tools, and coordinating with installation teams to ensure reliable, consistent deployments.

Partners with Sales, Product, Engineering, and Improvement teams to win and expand manufacturing customers. Leads discovery, maps factory workflows, identifies bottlenecks, translates operational challenges into AI use cases, supports pilots and deployments, quantifies ROI, and develops repeatable value-selling playbooks. The role requires expertise in continuous improvement, Lean, operational excellence, or industrial engineering, along with manufacturing operations experience and the ability to communicate effectively with shop-floor and executive stakeholders.

Lead R&D for industrial robotic manipulators, including modeling, planning, control, perception, machine learning, simulation, and hardware integration. Develop and test robotic prototypes, planning algorithms, middleware, software architectures, pose estimation, segmentation, and autonomous grasping systems. Deploy and validate solutions using ROS-compatible hardware, sensors, robot arms, and real-world environments.

Support AI software onboarding for manufacturing customers by executing onboarding cycles, validating camera and input data quality, documenting edge cases, tracking success metrics, coordinating with installation teams, and improving processes, documentation, checklists, and internal tools. The role requires structured execution, clear communication, attention to detail, ownership, and comfort working with technical systems. Manufacturing or process experience is advantageous, while prior machine learning experience is not required.

Support AI software onboarding by executing onboarding cycles, monitoring success metrics, checking camera and input-data quality, documenting edge cases, maintaining datasets and process documentation, communicating blockers, and coordinating with installation teams. The role focuses on reliable process execution, continuous improvement, and cross-station consistency in a manufacturing environment.

Drive continuous improvement initiatives for manufacturing customers using AI-powered computer vision insights. Analyze production data and assembly processes, identify inefficiencies, recommend measurable improvements, train customer teams, guide implementation, track outcomes, and collaborate with engineering, data science, product, and sales teams. Apply Lean and CI best practices while helping develop scalable AI-enabled improvement methods.

Own customer onboarding from initial execution through post-launch iteration. Validate camera and input data quality, identify edge cases, maintain datasets, document process variance, track success metrics, and communicate progress and blockers. Improve onboarding workflows through checklists, documentation, templates, and tool feedback. Coordinate with installation teams to ensure camera setups support reliable, consistent AI onboarding across stations.

Build Almetra’s marketing function from the ground up, owning positioning, messaging, go-to-market strategy, demand generation, ABM, content, events, partnerships, metrics, and reporting. The role partners closely with founders and sales leadership, establishes repeatable revenue-generating marketing motions, and gradually builds and leads the marketing team as the company scales.

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.