Top Artificial Intelligence Jobs in Berlin

Drive new business and revenue growth across the Nordic territory by generating pipeline, managing complex SaaS sales cycles, forecasting accurately, presenting solutions, negotiating with technical and executive stakeholders, and closing strategic accounts. The role also involves account relationship management, collaboration with marketing, product, customer success, and channel teams, Salesforce data integrity, and use of structured sales methodologies such as MEDDICC.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Design, build, and maintain backend services for AI-powered campaign optimization products. Support data scientists in deploying machine learning models, improve architecture and engineering practices, contribute to planning and retrospectives, mentor teammates, and collaborate with product and infrastructure stakeholders. The role requires strong Python skills, production software development experience, cloud infrastructure knowledge, and the ability to work hybrid from the office three days per week.

Design, build, deploy, and optimize production-grade generative AI agents, copilots, and intelligent workflows. Lead end-to-end delivery from solution design and prompt engineering to deployment, monitoring, and continuous improvement. Partner with business stakeholders to transform processes for AI-first execution, define KPIs, ensure governance and security, provide training and change management, and contribute reusable frameworks and best practices across the AI Center of Excellence.

Design, build, and operate an enterprise AI Hub providing shared runtime, CI/CD, model registry, observability, governance, and developer tooling to enable scalable, secure production AI and self-service capabilities across cloud and hybrid environments.

Own the strategy, roadmap, governance, and implementation of an internal AI platform. Partner with Data Scientists, AI Engineers, Software Engineers, product teams, and regulatory stakeholders to deliver scalable AI services, identify use cases, ensure compliance, and launch AI-powered features. Translate business goals into actionable requirements, manage agile development, monitor AI performance, and use data and user feedback to evolve the platform.

Leads Tide’s KYX engineering organization across onboarding, continuous due diligence, identity and access, risk scoring, data science, and machine learning. Owns engineering strategy, organizational design, model lifecycle, regulated AI deployment, platform scalability, and global execution. Partners with operations, policy, risk, compliance, product, and regulators to improve onboarding conversion, decisioning automation, due diligence quality, and servicing economics.

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.

Own the vision, strategy, and roadmap for Flix Search across web, app, and AI-native channels. Lead discovery and delivery of improvements to ranking, relevance, query understanding, personalization, comparison, and zero-result recovery. Use behavioral, funnel, query, and customer data to guide decisions, align cross-functional stakeholders, and balance near-term enhancements with long-term technical investments. Partner closely with engineering, UX, data, commercial, and operations teams to improve conversion and create scalable discovery experiences.

Own Helsing’s group-wide data protection and privacy framework across Europe. Advise product, engineering, and commercial teams on GDPR, the AI Act, privacy-by-design, data governance, international transfers, and AI development. Draft and negotiate data processing and privacy agreements, manage data subject requests and supervisory authority interactions, deliver training, and support due diligence for M&A, procurement, and market expansion.

Design and maintain scalable data pipelines, connectors, and reusable data products to make enterprise data AI-ready. Enable RAG, semantic search, agentic workflows, and production deployment of AI solutions while enforcing data quality, governance, metadata, security, and cross-team collaboration.

Lead AI Value Analyst responsible for building and maintaining business cases for AI initiatives, estimating and tracking benefits, and reporting ROI. Partners with stakeholders, Finance, and AI CoE to quantify productivity, cost, revenue, and risk impacts, prioritize opportunities, validate data and assumptions, and produce dashboards and presentations to communicate realized value and governance across the AI portfolio.

Leads a multinational BDR organization of approximately 18 representatives through team leaders. Owns BDR strategy, playbook development, performance management, metrics, sales technology adoption, process optimization, and cross-functional alignment with Sales, Marketing, and senior leadership. The role combines strategic planning with hands-on operational leadership across European and US markets, driving scalable prospecting, qualification, conversion, and team development.

Build data warehouses, cloud infrastructure, AI workflows, and scalable data products. Integrate data from multiple systems, enable organizational data access, assess AI use cases, and collaborate with analytics, product, and software engineering teams in an agile environment.

Owns technology risk, governance, controls, compliance, security, and resilience for critical trading applications. Responsibilities include assessing controls, managing risks and audit findings, coordinating remediation, governing risk acceptance, supporting audits and regulatory reviews, and improving governance processes through standardization and automation. The role partners with engineering, production support, portfolio owners, risk teams, and internal audit while applying sound judgment to technology and AI-related risks.

Advise enterprise clients on creating and capturing value from AI and data. Develop AI and data strategies, maturity assessments, operating models, platform blueprints, business cases, investment profiles, and transformation roadmaps. Embed Responsible AI, identify required people, processes, and technologies, shape AI-first products, and lead large-scale workstreams. Manage senior stakeholders, build teams, originate opportunities, and support go-to-market activities.

Advise enterprise clients on creating and capturing value from AI and data. Define AI and data strategies, operating models, platform blueprints, business cases, investment profiles, and transformation roadmaps. Embed Responsible AI, identify capabilities needed to operationalize solutions, develop AI-first product strategies, and create commercialization opportunities. Lead large-scale workstreams, manage senior stakeholders, shape new deals, and connect AI initiatives to measurable business outcomes.

Lead strategic partnerships supporting CuspAI’s R&D ecosystem across EMEA. Negotiate cloud compute agreements, establish data-sharing partnerships with publishers, universities, and research labs, and secure access to experimental facilities and scientific resources. Manage complex collaborations, grant partnerships, technology transfer, and institutional funding relationships. Translate AI and materials science requirements into commercial proposals while coordinating with researchers, legal, finance, and leadership.

Leads strategic and cross-functional initiatives from conception through implementation within the CEO Office. Responsibilities include AI transformation and strategic finance programs, business planning, financial modeling, market and competitive analysis, executive and board meeting preparation, stakeholder alignment, and support for the CEO and executive team.

Design AI-assisted static ads for paid social campaigns across Meta, Google, LinkedIn, and TikTok. Develop creative angles, hooks, and visual concepts; test them in live campaigns; analyze performance; and refine high-performing concepts. Collaborate with marketing and design teams, provide feedback to product and engineering teams, and help improve the company’s AI static ad engine.

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.

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.

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.

Lead end-to-end delivery of complex enterprise software engagements from kickoff through go-live, establish PMO standards and reporting, manage risks and cross-functional dependencies, support scope and contract reviews, and build customer success onboarding and learning systems. The role also shapes a new global PMO function and partners with Customer Success, Product, and Engineering to improve delivery excellence and operational scalability.

Own a portfolio of enterprise manufacturing accounts across onboarding, engagement, retention, expansion, and escalations. Track customer health and revenue retention while facilitating technical and executive stakeholder alignment. Build foundational customer success infrastructure, including playbooks, health scoring, processes, and tooling. Represent customer needs in product and strategy discussions and identify opportunities to improve solution performance and expand accounts.