Top Artificial Intelligence Jobs in Berlin

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.

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.

Support financial forecasting, KPI reporting, month-end closing, bookkeeping, invoicing, collections, annual financial statements, tax coordination, data cleaning, and cross-departmental finance initiatives. The role partners closely with the Finance team and external advisors while improving financial systems and supporting international operations at a renewable energy startup.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

As a Product Designer at voize, you'll create intuitive mobile experiences for healthcare professionals, translating complex workflows into usable designs while collaborating with product teams through design and implementation phases.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.

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.

Twelve-month, fully onsite AI Associate program in Berlin focused primarily on resolving customer support tickets involving LLM behavior, APIs, integrations, enterprise compliance, billing, and access control. The role investigates technical issues, explains AI concepts clearly, escalates bugs, supports customer adoption, and takes on cross-team projects such as workshops, documentation, sales calls, and internal AI tooling. Strong performers may transition to a permanent business-team role.

Drive net-new enterprise sales within the AI startup ecosystem across an assigned territory. Build executive relationships with founders, investors, developers, and technical leaders; develop data-driven go-to-market strategies; manage complex, multi-stakeholder sales cycles; cultivate strategic partnerships; exceed revenue targets; and position MongoDB products through deep knowledge of technical concepts, competitors, and partner technologies.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

Lead product design for complex B2B SaaS packaging and compliance workflows. Conduct user research, shape end-to-end interactions, develop reusable UX patterns, evolve the design system, and prototype with AI tools and lightweight code. Collaborate with Product and Engineering through implementation, use product data and customer feedback to improve experiences, and advocate for clear, scalable, user-centered solutions.

Manage iwoca Germany’s privacy and AI compliance framework, including GDPR governance, DPIAs, LIAs, DSARs, RoPA maintenance, DPA reviews, vendor due diligence, and AI risk assessments. Partner with Legal, Product, Tech, Operations, and the external DPO to implement privacy-by-design, EU AI Act governance, reporting, training, and automated compliance workflows. The role requires translating regulatory requirements into practical controls across data pipelines, software platforms, AI workflows, and vendor integrations.

Own the technical infrastructure for an AI-assisted content and design operation. Responsibilities include selecting tools, building automation pipelines, orchestrating agents, designing multistep content workflows, integrating UIs with databases and external tools, maintaining modular systems, reducing manual work, and shaping architecture and roadmap decisions with leadership. The role requires production coding, API integrations, database and vector-search design, RAG implementation, workflow automation, and strong content judgment.

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.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Own the end-to-end roadmap for an AI legal workspace, guiding discovery, prioritization, delivery, and launch. Analyze customer conversations and usage data, collaborate closely with Engineering and Design, manage dependencies, and coordinate with marketing, sales, legal engineering, and internal teams. Represent customer needs in product decisions while shaping scalable AI solutions for law firms and legal teams across Europe.

Leads Awin’s AI product strategy, translating AI capabilities into prioritized roadmaps and measurable business outcomes. Partners with executives on investment decisions, determines build-versus-buy approaches, and oversees adoption, revenue, efficiency, and customer impact. Builds and manages a product team, hires and develops talent, and ensures AI-enabled capabilities move from experimentation into shipped, differentiated product experiences.

Designs and operates secure, scalable AWS infrastructure and reusable Terraform modules. Owns CI/CD, GitOps, observability, reliability, automation, and cost optimization. Builds production platforms for AI agents and LLM-backed services, including identity, access controls, secrets, evaluation, regression testing, and operational safeguards. Mentors engineers, communicates technical trade-offs, and supports broader platform and developer-experience strategy.

Own end-to-end industrial software deployments, from defining use cases and onboarding machine and production data through validation, rollout, training, and adoption. Work directly with operators, plant managers, IT, and OT teams to solve production problems. Build KPIs, anomaly signals, analytical workflows, and root-cause analyses using Python, SQL, statistics, and time-series data. Lead customer projects, identify expansion opportunities, and feed field insights back into the product.

Build and ship production-grade full-stack software integrated with agentic AI systems. Responsibilities include integrating LLM APIs, using AI-assisted development tools, evaluating AI-generated outputs, building application and API layers, tracking AI productivity KPIs, and supporting Agile delivery from design through production. Contribute to reusable components, AI tooling standards, and integrations involving agent architectures, RAG pipelines, and enterprise AI workflows.

Own AI and automation product initiatives for internal workflows and connectivity platforms. Lead discovery, define roadmaps and requirements, prioritize opportunities, and partner with AI, platform, security, and compliance engineers through delivery. Prototype solutions, establish evaluation and release criteria, manage sensitive-data and human-review requirements, and measure adoption, efficiency, and business impact. The role may later extend AI capabilities into customer-facing products.

Lead enterprise growth across top European law firms and corporate legal departments, manage retention and expansion through a team of Retention Managers, oversee digital revenue and e-commerce channels, coach cross-border account executives, negotiate high-value enterprise agreements, and present commercial strategy to executive leadership.