Top Artificial Intelligence Jobs in Germany

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.

Manage full-cycle technical recruiting for AI, machine learning, and AI safety teams. Responsibilities include sourcing niche and passive talent, market mapping, talent-pool development, candidate engagement, stakeholder collaboration, offer negotiation, candidate experience, and recruitment-process improvement. The role requires strong knowledge of AI research recruiting, bilingual German and English communication, and the ability to operate effectively in a fast-paced startup environment.

Drive enterprise AI SaaS sales across the DACH public sector, owning the full sales cycle from prospecting through close. Build relationships with executives, IT, administrators, and procurement teams; navigate complex buying processes; exceed revenue targets; identify new use cases; and provide customer and market feedback to inform product roadmaps and sales methodology.

Manage B2B SaaS customer relationships from adoption through ongoing success. Act as a trusted advisor, understand client goals, develop account plans, drive technology adoption, resolve escalations, coordinate with engineers and product specialists, gather market feedback, and influence product roadmap improvements. The role requires strong English and German communication, project management, technical aptitude, and customer-focused relationship-building skills.

Leads Germany territory operations as an advisor to the VP/GM and Territory Leadership Team. Owns integrated business planning, seasonal readiness, governance, performance reviews, operational alignment, and enterprise capability adoption. Connects Commercial, Planning, Supply Chain, Logistics, Finance, HR, and Operations teams while driving decision-making, continuous improvement, AI-enabled work, organizational readiness, and business performance.

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.

Supports People & Values operations by improving employee lifecycle processes, administering HR systems, maintaining documentation and policies, implementing automation, and managing contingent workforce contracts. The role partners with Talent Acquisition, Legal, Finance, and internal stakeholders to improve onboarding, ensure compliance, maintain data integrity, and deliver scalable employee experiences.

Designs, develops, operationalizes, and maintains enterprise-scale data applications and scalable ETL/ELT pipelines. Processes structured and unstructured data, creates reporting and analytics solutions, and develops data visualizations using tools such as Tableau, Qlik, Power BI, or Foundry. Collaborates with multidisciplinary teams in agile environments and supports mission-driven defense and intelligence projects.

Leads A2MAC1’s EMEA costing organization and consulting growth strategy, with executive accountability for client portfolios, delivery quality, capacity, workforce planning, and P&L. Oversees team leaders, program managers, and cost engineers; sponsors complex consulting engagements; advises senior automotive clients; partners with Sales; and develops scalable consulting offerings, governance, and methodologies across the region.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Owns Oviva’s long-term infrastructure and platform strategy, architecture, reliability, security, compliance, and operational excellence. Leads container platforms, delivery pipelines, observability, service identity, cloud and infrastructure vendor relationships, cost efficiency, and self-service engineering capabilities. Provides strategic counsel to leadership, mentors senior engineers, manages technical risk, establishes engineering standards, and drives automation and AI-enabled productivity improvements in a regulated healthcare environment.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

Sell Agentforce Operations and Regrello as enterprise orchestration solutions for scaling AI agents and workflow automation. Responsibilities include executive prospecting, technical discovery, value-based messaging, full-cycle B2B enterprise software sales, closing complex transactions, expanding post-deployment accounts, and collaborating with value engineers, solution consultants, and Salesforce sales teams.

Build scalable data warehouses, cloud infrastructure, AI workflows, and data-driven applications. Integrate data from multiple systems, ensure accessible and consistent data, evaluate AI use cases, and collaborate with analytics, product, and software engineering teams in an agile environment.

Own and expand strategic enterprise accounts across Europe, serving as executive relationship owner and driving revenue growth through account expansion plans. Coach account managers and customer success teams on strategy and complex commercial execution, improve key account processes, collaborate with product and customer operations, and report performance and pipeline to leadership. Represent the company with utility customers at conferences and events.

Lead strategic, customer-facing value assessments and proof-of-value projects using Celonis Process Intelligence and AI integrations. Build demos and business cases, run value workshops, drive adoption and expansion, present realized value to C-level stakeholders, and collaborate with partners and product teams to scale process-improvement solutions.

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.

Performs performance and systems engineering for space-based optical instruments. Responsibilities include optical performance analysis, budgeting, mathematical modeling, data-processing algorithm development, simulation, test and calibration campaign execution, requirements decomposition, concept evaluation, and baseline design. The role also develops innovative instrument concepts and enabling technologies while coordinating with multidisciplinary teams, suppliers, customers, space agencies, and scientific users in an international Airbus environment.

Manage complex enterprise accounts throughout the sales cycle, from pipeline generation through AI product deployment. Develop account strategies, lead customer programs, own consumption revenue targets and forecasts, analyze account metrics, and advise executives on AI adoption. Collaborate with solutions, engineering, research, marketing, finance, product, and operations teams while contributing to customer events, company strategy, recruitment, and organizational growth.

Drive revenue and adoption of Zendesk’s AI products within a defined territory. Own sales quotas, prospect, conduct tailored demonstrations, support proof-of-concepts, and close new and expansion business. Partner with account executives, customer success, and regional leadership to develop sales strategies, identify cross-sell opportunities, model commercial value, and maximize automation-related revenue. Serve as an AI subject matter expert, enable sales teams, and communicate product updates and market insights.

Design legal AI tasks, datasets, workflows, and evaluation rubrics; assess system outputs for legal accuracy and usefulness; translate legal processes into agentic workflows; lead enterprise pilots and implementations; and support customer discovery, demonstrations, and go-to-market initiatives. The role requires close collaboration with AI researchers and engineers and offers broad ownership in an early-stage company.

Sell Agentforce Operations and Regrello to enterprise executives, helping organizations scale governed AI-agent deployments and workflow automation. Own the full B2B sales cycle from prospecting through closing complex software transactions, conduct technical discovery, communicate value, and drive post-deployment expansion. Collaborate with value engineers, solution consultants, and Salesforce sales teams to deliver integrated customer solutions.

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.