Top Artificial Intelligence Jobs in Berlin

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

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.

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.

Provides staff-level technical leadership for enterprise AI/ML platform infrastructure. Designs and operates AWS, Kubernetes, serverless, and containerized environments; develops infrastructure-as-code, CI/CD, observability, security, governance, and cost-optimization standards. Supports generative AI workloads, model routing, reliability, scalability, and performance. Partners with engineering, security, and operations teams, mentors engineers, reviews architecture, and drives platform maturity across multiple 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.

Build and operate AI systems, agents, and integrations that automate operational workflows for an energy company. Responsibilities include understanding customer and internal processes, identifying AI opportunities, designing and developing production systems, testing agent behavior, deploying and monitoring solutions, handling exceptions, and maintaining software at scale.

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.

Lead the commercial development and operating performance of a two-sided automotive marketplace connecting private vehicle sellers with professional partners. Own growth, revenue, margin, unit economics, customer and partner experience, performance metrics, and operational quality. Coordinate Product, Technology, Operations, Analytics, Sales, and Finance teams, translate strategy into execution, and communicate data-backed decisions to senior leadership.

Acquire and grow SMB merchant accounts through outbound prospecting, partner-generated leads, winback opportunities, and AI-assisted opportunity prioritization. Own commercial outcomes, manage pipelines and forecasts, identify cross-sell and upsell opportunities, mitigate churn risk, resolve merchant issues, coordinate internal teams, and ensure effective handoff to Account Management. The role requires managing complex customer relationships and delivering measurable retention and wallet-share growth.

Leads Tide’s engineering organization for fraud, financial crime, and ongoing monitoring platforms. Owns engineering strategy, decisioning infrastructure, model lifecycle, agentic AI deployment, and global platform scalability. Partners with risk, compliance, operations, product, and data science leaders to improve fraud detection, reduce losses and monitoring costs, automate workflows, and meet regulatory requirements across multiple markets.

Own the full sales cycle for Slack across a high-velocity mid-market account portfolio. Responsibilities include pipeline generation, prospecting, discovery, AI-focused product demonstrations, business-case development, forecasting, negotiation, and closing. The role partners with Salesforce account executives, solution engineers, customer success teams, and partners to drive new-logo and expansion opportunities, demonstrate ROI, and build long-term customer relationships.

Own the strategy, roadmap, governance, and rollout of an internal AI platform. Identify AI opportunities across client experience and operations, coordinate implementation across teams, guide compliance and ethical data usage, and support launches of AI-powered features. Partner with Data Scientists, AI Engineers, Software Engineers, Product, Operations, and Legal stakeholders while translating business goals into actionable requirements and using data and AI performance insights to evolve the platform.

Serve as a senior pharmacovigilance domain expert bridging case-processing operations, product strategy, and AI automation. Guide safety workflow design, evaluate AI outputs, define future PV operating models, engage early-adopter customers, and create complex scenarios for platform stress testing. Collaborate with product, engineering, and executive customer teams to ensure accurate, compliant, and effective safety automation.

Lead reporting, dashboard, KPI, and innovation initiatives within the Chief Security Office’s Embedded Risk Team. Develop automated management reporting on information security risk exposure and remediation, support regulatory and audit requests, coordinate strategic projects, and drive process improvements using analytics, AI, and automation. Partner with stakeholders to prioritize initiatives, oversee portfolio deliverables, and translate complex security data into actionable management insights.

Six-month, onsite internship supporting renewables origination through market research, commercial and product strategy analysis, CRM data management, process automation, presentations, and AI-enabled workflow improvements. The role requires Python or similar analytical experience, interest in renewable energy markets, strong communication skills, and business-level English and German proficiency. Interns collaborate with commercial, technical, trading, legal, and operations teams in Berlin.

Drive enterprise revenue by owning complex €100k+ sales from discovery through contract signature. Build pipeline through outbound prospecting, navigate multi-stakeholder buying committees, develop ROI-based business cases, manage procurement, security, legal, and negotiations, and close new ARR. The role requires strong executive relationships, strategic account planning, quota ownership, enterprise sales experience, business-level German and English, and on-site work in Berlin five days per week.

Own new product initiatives from idea through MVP, launch, and commercial growth. Define product priorities, develop go-to-market strategies, set positioning and pricing, coordinate sales, marketing, and technology teams, and engage directly with customers to validate and sell solutions. Evaluate markets and partnerships with company founders while taking responsibility for product performance and iteration in a fast-growing AI-focused renewable technology startup.

Own new business development across Germany, Austria, and Switzerland, from prospecting through negotiation and closing. Identify opportunities in manufacturing, technology, financial services, and enterprise AI modernization. Develop value-based offerings, lead technical presales with solution teams, manage AWS, Databricks, and Microsoft partnerships, oversee proposals and RFPs, maintain CRM pipeline discipline, and represent the company at regional events and client meetings.

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.

Own end-to-end recruitment for specialist operations, policy, and commercial roles across international markets. Partner with hiring managers and People Business Partners, source diverse candidates, manage candidate communications, and deliver a strong candidate experience. Contribute to hiring projects, employer branding, and People & Culture initiatives while using AI tools to improve recruitment efficiency and practices.

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.

Designs, builds, and operates production-grade agentic AI systems and orchestration frameworks. Responsibilities include prompt architecture, tool and API integrations, monitoring, evaluation, cost controls, reliability improvements, and governance documentation. The engineer collaborates with data science, data engineering, and governance teams to ensure reliable, compliant workflows using structured healthcare and pharmaceutical data.