Top Artificial Intelligence Jobs in Berlin

Leads QA automation strategy across web, API, and backend services. Designs and maintains automated test frameworks, integrates testing into CI/CD pipelines, investigates defects, maintains test environments, and promotes quality practices. Mentors junior engineers and collaborates with product and engineering teams on acceptance criteria and release quality. Applies AI-assisted tools for test generation, debugging, defect analysis, and automation optimization.

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.

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.

Own enterprise customers’ AI adoption roadmaps from deployment through expansion. Partner with executives to define AI strategies, coordinate Product, Services, Sales, Success, and partners, and guide solution design and technical escalations. Track adoption, automated resolution, retention, and expansion metrics to drive measurable outcomes. Advise on responsible AI, data governance, compliance, and sustainable implementation while leading success planning, stakeholder alignment, and renewal-focused engagements.

Lead and mentor a team of Applied Scientists and AI/ML Engineers to design and deliver production-grade AI solutions across structured CRM and unstructured data. Drive technical strategy for agentic workflows, RAG/vector DB systems, and real-time reasoning. Partner with AI Platform on LLMOps and cloud infrastructure, act as a technical authority, and contribute as a high-impact individual contributor to ship customer-focused AI products.

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.

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.

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop efficient models and pipelines, improve search relevance and personalization, fine-tune existing models, monitor production performance, debug issues, and ship measurable quality improvements while balancing accuracy, latency, cost, privacy, and reliability.

Lead technical architecture for generative AI and LLM solutions serving digital-native customers across EMEA. Responsibilities include designing RAG and agentic systems, building Databricks-based proofs of concept, fine-tuning open models, developing evaluation and safety approaches, and operationalizing large-scale ML workloads. The role also mentors field engineering teams, influences product roadmaps, supports strategic customer engagements, and represents Databricks through workshops, conferences, blogs, and executive briefings.

The Customer Success Manager (SEO) will onboard clients, advise on SEO strategies, review performance, and collaborate with teams to enhance customer enablement.

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 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.

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.

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.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

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.

Conduct advanced machine learning research and translate state-of-the-art generative AI, recommendation, embedding, and ranking methods into high-throughput production systems. Build multi-stage recommendation pipelines, optimize large models for sub-millisecond latency, and develop user and ad embeddings using PyTorch and GPU infrastructure. Lead architectural discussions, mentor junior scientists, and guide research direction across systems serving hundreds of millions of users.

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.

Own the strategy and roadmap for idealo’s central AI platform. Prioritize and deliver reusable AI services and APIs involving LLMs, RAG, embeddings, vector search, evaluation, and agentic AI. Define KPIs, improve developer experience, and partner with engineering, security, and stakeholders to ensure reliability, governance, data protection, and cost efficiency.

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.

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.

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.

Support the Finance team with pre-bookkeeping, month-end closing, KPI reporting, financial tracking, invoice management, collections, data reconciliation, and data cleaning. The intern will provide cross-departmental support, work with financial systems, and identify opportunities to use AI tools for automation and process improvement in a fast-paced renewable energy startup.